Patent Application
20170111813
The present disclosure relates to data communications and in particular to a method, apparatus and system for detecting device interoperability issues.
In order to access wide area networks such as the Internet, customers at home and commercial premises use a broadband network between the customer premises and an Internet Service Provider (ISP) such as the BT Total Broadband service offered by British Telecommunications plc.
Typically, the customer premises is connected to the ISP equipment via a copper line, a combination of copper and optical fiber lines or optical fiber lines. Examples of such arrangements include ADSL, VDSL (collectively referred to as xDSL), FTTP and DOCSIS.
The broadband connection links the customer to services available on wide area networks such as the Internet thereafter to a wide range of remotely located application servers and services.
In the case of a DSL broadband network, the ISP has equipment located at an exchange building servicing multiple premises, and data from the wide area network is routed to the customer via a DSLAM or mini DSLAM.
At the user premises, a modem converts the broadband/DSL signal into a home network format such as Ethernet and a router then provides routing capability so that multiple home network devices such as computers, laptops, tablets and phones can share the bandwidth of the connection.
To accommodate device mobility, a wireless access point distributes the Ethernet packets over an air interface, typically in accordance with the IEEE 802.11 family of protocols. These are commonly referred to as Wi-Fi. At present the latest standard is 802.11ac while 802.11n, 802.11g and 802.11b are still common. Using Wi-Fi, wireless devices can send data to and receive data from local and remote services via the access point.
Typically the modem, router and wireless access point functions are integrated into the same physical unit. Examples are the BT Home Hub 4 which combines an ADSL modem, router and 802.11n access point, and the BT Home Hub 5 which combines a VDSL modem, router and 802.11 ac access point. These combined devices will now be referred to as Hubs.
Due to the regulation of radio spectrum across the World, Wi-Fi only operates within the 2.4 GHz and 5 GHz spectrum Industrial, Scientific and Medical (ISM) bands. Being an air interface, the performance of Wi-Fi is susceptible to external influence. There are a number of factors which can influence the performance of the link between a wireless device and the wireless access point part of a hub:
There are therefore two main physical links in the communication path between a user device and the ISP equipment which can affect the user's quality of experience with the ISP. Namely, the DSL link from the DSLAM to the customer modem, and the Wi-Fi link between the user's devices and the access point.
A bottleneck at either location will negatively affect the user's experience. However, typically, when a user experiences poor performance, the assumption is that the DSL link is the problem and a complaint is made to the ISP or access provider.
While the DSL link is also susceptible to performance problems and interference, those are beyond the scope of this disclosure.
In addition to issues affecting the link performance, the large number of equipment vendors can result in differences in the implementation of the WiFi protocols. This variation can cause problems between particular combinations of user devices and access points resulting in poor performance even when there are no other problems affecting the DSL link or WiFi air interface environment.
The present disclosure addresses the above device compatibility problem.
In one aspect the present disclosure provides a method for monitoring the performance of a plurality of wireless networks created by a plurality of wireless access points and connected client devices, comprising: receiving network performance data relating to at least some of the client devices from the plurality of wireless access points; receiving device characteristic information relating to each connected client device; and analyzing the performance data to identify trends in client devices which are experiencing wireless network performance degradation due to interoperability problems.
In another aspect the present disclosure provides an apparatus for monitoring the performance of a plurality of wireless networks created by a plurality of wireless access points and connected client devices, comprising: first receiving means for receiving network performance data relating to at least some of the client devices from the plurality of wireless access points; second receiving means for receiving device characteristic information relating to each connected client device; and analyzing means for analyzing the performance data to identify trends in client devices which are experiencing wireless network performance degradation due to interoperability problems.
Embodiments of the present disclosure will now be described with the aid of the accompanying Figures in which:
Each hub 3 is connected to application servers 5 and web servers 7 located on a wide area network such as the Internet 9, via the ISP's network core 11. In order to access the network core 11, edge routers 13 such as DSLAMs and mini DSLAMs are connected to the hubs via a DSL copper or fibre line 15. A user profile server 17 stores information relating to each customer and the line 15 properties.
As is conventional for wireless access point devices, the hubs 3 each generate a wireless network 19 (WLAN) and devices 21 such as laptops, smartphones and tablets within communication range of the wireless signal, and having the authentication credentials, can connect to the hub 3 to send and receive data sessions in accordance with the IEEE 802.11 family of Wi-Fi protocols.
Therefore in the above network configuration, for any communication session between a user device 21 and an application server 5 or web server 7, data packets generated at the user device 21 must traverse several physical layer transmission mediums before reaching the remote device, application server 5 or web server 7. Namely:
The 802.11ac protocol allows a maximum speed of 1300 Mbps between devices, 802.11n allows a maximum speed of 600 Mbps and 802.11g allows a maximum speed of 54 Mbps. However, in all three variants, the maximum speed is rarely achieved due to the number of issues affecting Wi-Fi. As explained above, poor performance of the Wi-Fi link can be caused by various forms of contention and interference affecting the spectrum used by Wi-Fi. Examples are other neighboring Wi-Fi devices and access points on the same channel, access points on an overlapping channel, Bluetooth, and wireless microphones. In addition, interference from devices such as microwave ovens, some cellular devices such as 2.6 GHz Long Term Evolution (LTE) devices and electrical storms can disrupt Wi-Fi.
DSL speeds are generally slower than Wi-Fi speeds and are dependent on the particular type of DSL used in the link between the customer premises and the ISP equipment. The maximum theoretical speeds are 8 Mbps for ADSL 1, 24 Mbps for ADSL 2+, 160 Mbps for VDSL FTTC, 330 Mbps for FTTC (according to typical current implementations of these technologies in the UK). Factors that affect the performance of the DSL link include length of the line, crosstalk between lines, electrical faults at the mini DSLAM within the power grid and accidental damage to the lines due to cable works.
Due to the large differences in maximum speed between Wi-Fi and DSL links, generally any loss in performance is blamed on the DSL link and a complaint is made to the ISP. However the likelihood of the problem actually occurring in the Wi-Fi part of the communication link is significant.
Examples of the different problematic scenarios are shown in
Most of the causes of interference are short range sources, however, a LTE radio transmitter 25 is also shown which can be a source of wide area interference affecting multiple wireless networks.
As shown in
In a case where there is a fault in the DSL connection, this fault can be detected by the ISP and taken into account when estimating the speed of service a customer can expect to receive. For example, although the maximum theoretical speed of ADSL2+ is 24 Mbps, the ISP can factor in conditions that may be affecting the user's DSL line to estimate the likely speed to be 15 Mbps.
However, a more difficult situation for the ISP to resolve is where the customer has paid for a level of service, for example the ADSL2+ product with an estimate of 15 Mbps but then finds that their connection to certain services is poor, or where they carry out a speed test and find that the calculated speed between their device and the remote speed test service is significantly below this estimated speed.
In this case, the poor performance may be due to the customer's network setup and more specifically the user's Wi-Fi environment. However, generally the ISP has no visibility of the customer's setup.
In this case, the performance of the Wi-Fi network 19a is affecting the customer's data sessions.
In
In a conventional network setup, the ISP has no visibility of the above scenarios. Therefore in the first embodiment, the hub is arranged to try to identify these situations. Furthermore, a Wi-Fi management server 27, located in the ISP network core 11, is provided to configure the hubs 3 in the customer premises and perform further analysis on the information collected by each hub 3.
The hub 3 and management server 27 of the first embodiment will now be described in more detail.
A central processor 39 controls the flow of packets from and to the various ports via a storage medium 41 which includes random access memory (RAM), Read Only Memory (ROM) and processor buffers.
The central processor 39 manages the hub 3 in accordance with program instructions stored on the storage medium.
When the central processor 39 is executing the program instructions the hub 3 can be regarded as a number of functional component blocks as will be described in the next section.
For external connectivity, the hub contains a wired LAN interface 51, a wireless network interface 53 and a wide area network interface 55 for connecting to the respective wired, wireless and remote devices
As will be described in more detail later, a routing function 57 handles the routing of packets between the different interfaces 51, 53, 55 in accordance with the packet destination. The typical routing paths to the Internet are:
There are also home network communication paths:
Furthermore, for administrative activities, devices on any of the network interfaces may communicate with the hub itself. Therefore three further paths are:
To identify Wi-Fi problems, in this embodiment, the routing function 57 is configured to look at data traffic flowing over the wireless interface 53 while generally ignoring traffic which is flowing only between the other interfaces 51, 53.
As will be described in more detail below, the hub 3 includes a hub flow analyzer 59 for analyzing data packets in terms of IP Flows flowing through the wireless network interface 53. The routing function 57 is configured to replicate wireless network packets which are received from the wireless interface 53 or being sent to the wireless interface 51 to the hub flow analyzer 59 and the hub flow analyzer 59 identifies potentially problematic flows for further analysis by the wireless management server 27.
Additionally, the hub 3 contains a wired LAN performance monitor 61, a Wi-Fi performance monitor 63 and a WAN performance monitor 65 to collect performance metrics relating to each of the interfaces 51, 53, 55. This information is used by the hub flow analyzer 59 in processing the flow records.
The hub 3 also contains a hub status manager 66 for receiving information about the status of the wireless network from the hub flow analyzer 59 in accordance with instructions from the management server 27. To communicate any determination of interference on the wireless network, the hub contains a user interface 67 for users to access status information about the hub, including any information relating to any detected Wi-Fi interference and the hub 3 includes notification lights 69 for providing visual indications to the user that problems affecting the performance of the wireless network have been detected.
In this embodiment, in order to detect possible device incompatibilities, the hub 3 also contains a DHCP request monitor 201 and an HTTP request monitor 203 for passively gathering identity information about the devices which are connected to the hub 3. This avoids having to ask the user to enter identity details of their devices 21.
When devices 21 connect to a hub 3 over WiFi, after the standard steps of association and authentication to the hub 3, the device 21 will make a DHCP request to the hub 3 in order to obtain a valid IP address for use on the network of the hub 3. In this embodiment, the specific manner in which the DHCP request commands are issued by the device (in particular the order of the parameter request list items in Option 55) can be used to identify device properties such as the client type and OS, and therefore the routing function 57 is configured to send the DHCP requests to a DHCP server 201, and also configured to copy the client device's 21 DHCP request to the DHCP monitor 203. The DHCP monitor 203 is arranged to store details of the received DHCP exchanges and to periodically send the requests to the management server 27 for further analysis.
Two examples of device DHCP requests are shown below. The first is from a Linux laptop and the second example is from a smartphone such as the Samsung Galaxy S4.
In both cases, frame 1 relates to a DHCP Discover message, frame 2 is a DHCP Offer, frame 3 is a DHCP request and frame 4 is a DHCP ACK.
Another method of passively gathering device identity information is to analyze HTTP requests. HTTP requests issued by devices 21 when browsing webpages often contain device and software version information as part of the HTTP request. In particular, the User Agent String located within the HTTP request header contains device information which can be used by servers to tailor served webpages to properties and characteristics of the requesting device. Therefore in this embodiment, the routing function 57 is arranged to identify HTTP requests from connected user devices 21 and to copy the requests to the HTTP request monitor 205.
The HTTP request monitor 205 contains a list of previously extracted UASs from each client and therefore upon receiving an HTTP request, the HTTP request monitor 205 extracts the User Agent String (UAS) from the HTTP request header and compares the extracted UAS against the stored UASs. If the received UAS is a new UAS for that device 21, then new information is present and so the HTTP request monitor 205 adds the UAS to the list of UASs stored for that connected device 21 and periodically sends the stored list, sorted by each observed device's MAC address to the management server 27.
Example HTTP Request:
The routing function 57 is also configured to send information regarding the hub 3 properties such as the hardware type and software version to the management server 27 when the hub is initialized and connects to the management server 27. With the above processing, each hub continuously sends identity data relating to its connected devices to the management server.
A packet router 71 performs the standard packet routing in accordance with rules in a routing table(s) 73. Data packets entering any of the wireless network interface 53, wired network interface 51 and wide area network interface 55 are routed to the correct interface in accordance with each packet's destination. The routing table 73 contains information relating to the location of each device 21 (identified by its MAC address and assigned IP address) connected to the local side of the hub 3 and the appropriate interface 51, 53, 55 that will enable a packet to reach the destination.
An example routing table is shown below.
In order to isolate the wireless network data packets, a packet sampling and filtering function 75 is configured to inspect the data packets and flowing via the packet router 71 and replicate only packets received from the wireless interface or being directed to the wireless network interface to the hub flow analyzer 59. The sampling and filtering is performed in accordance with packet sampling and filtering templates stored in packet sampling and filtering templates store 77. These templates are provided by the management server 27 at boot time and specify which packets are replicated, for example whether all wireless data packets are replicated, only the outbound packets received from the wireless interface 53, etc. Furthermore the management server 27 may send updated templates to change the reporting behavior of the hub 3.
In this embodiment, the packet sampling and filtering function 75 also sends radiotap headers to the hub flow analyzer 59. These headers are populated with information relating to the currently observed physical Wi-Fi link conditions such as modulation rate. The hub flow analyzer 59 also records additional information related to the physical link (such as packet retry rates) retrieved from the Wi-Fi performance monitor 63 and relates it to the relevant flows.
In this embodiment, the hub flow analyzer 59 works with IP Flows. IP Flows are sets of data packets having the same n-tuple of source address, source port, destination address, destination port and protocol, representing a logical flow of data from one device to another and may represent particular data sessions, such as a VOIP call or gaming session. Degradation in these kinds of services would generally be noticeable to a user.
A flow processor 81 analyses the received data packets in a number of stages. The stages include a flow identifier function 83, a flow filter function 85, a flow analysis function 87 and a flow export function 89.
As packets arrive from the packet sampling/filter function 75, in the first stage, the flow identifier function 83 uses standard flow analysis techniques to create/update a set of flow records and stores them in a flow store 91.
An example set of flows stored in the flow store 83 is shown.
Sending data about these flows would provide the management server with information about the type of data traffic generated by the user devices connected to the hub and data analysis could determine congestion information. However, as the number of hubs to be analyzed increases, if every hub sends all flow information to the wireless management server 27 there would be a large processing burden.
Furthermore, when there are no connectivity problems, sending the flow records for healthy flows will waste resources. Therefore in this embodiment, the hubs are configured by the wireless management server to identify and filter the possible flow records so that only potentially problematic flows are sent to the wireless management server 27, together with a small subset of the healthy flows.
Once the set of flows being carried across the wireless interface 53 have been identified, the flow filter function 85 of the flow processor 81 compares the flows stored in the flow store 83 against a set of export rules defined in the Flow sampling/filtering template store 93. These rules are provided by the management server 27 at start-up time and may be updated by the management server 27 as required.
The aim of the filtering is to pick out flows which the management server 27 has determined to be sensitive to contention or interference. Generally these are high bandwidth or low latency tasks in which degraded performance would be noticed by the user and perceived to be due to a bottleneck in the network.
An example of the types of rule stored in the flow sampling/filtering template store 95 is shown below.
As a result of this comparison, only some of the flow records are selected. In this case, only flows 1 and 3 would be processed further since they match the above rule.
The above rule is for locating flows which should be exported to the management server 27. In marking them for export, two other rules are available in this embodiment. “Immediate discard” is where flows are ignored for further processing, and “post-analysis discard” where flows are to be processed by the later flow analysis functions, but aren't subsequently exported.
Once flows have been identified for further analysis, the properties of the packets within those identified flows together with supplementary information from the interface performance monitors will be analyzed to create the flow record. To further reduce the processing burden, the packets can be sampled. In this embodiment a 1 in 10 sampling criteria is used, however any standard sampling criteria is envisaged, for example, random x % of packets, a hash match, etc.
The sampled and selected flows in the flow store 91 are also analyzed by the flow analysis function 87 of the flow processor 81 to generate flow records in accordance with functions stored in the flow analysis function store 95. The functions are provided by the management server 27. The results of the analysis are stored in flow analysis store 97.
There are two types of functions in the flow analysis function store 95:
The results of the either of these types of processing can result in two kinds of output:
Pseudo code examples of the functions are set out below.
Having generated the flow records and statistics, the flow exporter function 89 of the flow processor 81 is arranged to periodically export the flow records which are marked for export to the management server 27 and then deletes any records which are explicitly marked for deletion. Other flows which are only marked for export are retained in the flow analysis store 97 until they are older than a predetermined age threshold.
In this embodiment, the data is transferred in the form of an IP Flow report using the IP Flow Information Export (IPFIX) IETF protocol. Details of IPFIX can be found at https://tools.ietf.org/wg/ipfix/.
In addition to flow records, the flow exporter 89 also exports the aggregate statistics relating to the flows marked for export over the same interval to the management server 27. The flow records and aggregate statistics contain a unique identifier for the hub 3 so that the management server 27 can return information to the hub 3.
If a response from the management server 27 is received on the WAN interface 55, the routing function 57 directs the packets to the hub status manager 66 which then causes the WLAN status lights 69 to activate in a manner which indicates to the user whether there are any detected problems on the Wi-Fi network 19.
In this embodiment, the LED 69 can flash different colors to indicate different severity levels, for example green if there is no problem, orange if there is mild or short term performance degradation, red if there is a major problem. Furthermore, if the management server 27 determines only a subset of the connected devices 21 are affected, the notification light 69 can flash in a pattern and/or in a manner to indicate how many devices are affected.
Furthermore, the hub status manager 66 will update a hub status page accessible to the user via a user interface to provide more detailed fault information such as identifying the extent of the fault and also which specific devices are affected.
In this embodiment each hub connected to the ISP network core 11 is arranged to send information relating the data sessions flowing over its wireless network to the management server 27. The management server 27 is responsible for processing the flow records exported by the hubs 3 and for each hub to identify whether there is a problem with that hub's Wi-Fi network. If congestion, interference or any other sort of degradation is detected, that hub is informed and the fault information can then be stored on the ISPs customer database so that the ISP is aware of the problem.
A central processor 103 controls the flow of packets from and to the various ports via a storage medium 105 which includes random access memory (RAM) and processor buffers.
The central processor 103 controls the management server 27 in accordance with program instructions stored on the storage medium 105 or storage on a read only memory (ROM).
When the central processor 103 is executing the program instructions the management server 27 can be regarded as a number of functional component blocks as will be described in the next section.
A hub profile 111 stores profile information for each hub that is connected to the ISP network 11. The profile contains information used by the other components to control their operation. Each hub's profile entry in the profile store 111 includes identification of which rules should be sent to that hub 3, the geographic location of the hub 3, whether problems have been detected which are affecting the operation of the hub's wireless network 19, etc., and is used by each of the components which will be described later.
The functionality of the management server 27 can be divided into two parts. The first part is concerned with configuring the hubs 3, usually at start up but updates can be pushed during normal operation in response to any detected conditions. Configuration data for the flow processing components of the hubs 3 is stored in a packet sampling filtering template store 115, a flow template store 117 and a flow analysis function store 119.
The hub packet sampling/filter template store 115 contains a complete set of all possible rules which can be used by the packet sampling filtering function 75 of the routing function 57 of a hub 3, stored in that hub's packet sampling/filtering template store 77, in deciding which packets are replicated to the hub flow analyzer 59. The particular subset of available rules used by a particular hub is identified in the hub profile 111. In this embodiment the rules cause packets travelling from or heading to the wireless interface to be replicated.
The hub flow sampling/filtering template store 117 contains a complete set of all possible rules for deciding which types of flows are selected for export by the flow filter function 85 of a hub and stored in the hub's flow sampling/filtering template store 93. The particular subset of available rules used by a particular hub is identified in the hub profile 111. In this embodiment the rules select high priority flows which are sensitive to congestion such as video or VOIP.
The hub flow analysis function store 119 contains a complete set of all possible rules which can be used by the flow analysis function 87 of the flow processor 81 of a hub in analyzing the flows to generate flow records and other analysis metrics. The particular subset of available rules used by a particular hub is identified in the hub profile 111. In this embodiment the hub 3 performs a number of functions to identify new flows and generate metrics relating to the health of those flows which are indicative of the performance of the wireless interface.
A hub manager 113 provides an interface for sending the data in the various stores to the hubs 3 in accordance with the subset information stored in the hub profile 111 for each hub 3. A hub interface 121 is present for data communications to and from the hubs 3 via the network core 11.
The second set of functional components within the management server 27 are for processing the flow record data sent from the hubs 3 to identify any degradation of the wireless network 19 for each hub, for example due to network contention or interference. This part contains a flow collector 123, a flow store 125, a flow statistics store 127, a customer experience flow analyzer 129, a customer experience analysis store 131 which is connected to the hub profile 111, a central customer profile interface 133, a network operations interface 135 and a call centre advisor interface 137.
The flow collector 123 is the IPFIX complement of the hub flow exporter function 89 contained in each hub 3. Flow records and aggregates statistics are received from each hub 3 and stored into the flow records store 125 and the flow statistics store 127, respectively.
The Customer experience flow analyzer 129 uses the information in the flow records store 125 and flow statistics store 127 to carry out various types of analysis. There are two main sets of analysis:
The first type of analysis identifies problems with the wireless link for a particular hub 3.
Examples include:
In these types of evaluations, the customer experience flow analyser 129 looks for changes, generally drops, in the values as an indication of interference on the wireless network of the particular hub being analyzed. Wi-Fi performance loss can be distinguished from a general DSL fault because the DSL performance monitor data will indicate if there have been any resynchronizations, changes in the data rate of the DSL connection or profile changes (indicative of a worsened SNR environment for the DSL connection) in the DSL line.
The customer experience flow analyzer 129 maintains running average values of each metric and when there is a change greater than a threshold then the customer experience flow analyzer 129 updates the customer experience analysis store 131 entry for that hub. Once all the evaluations have been carried out, the customer experience flow analyzer 129 makes a final determination of the presence of network degradation for that hub 3.
If poor performance is determined to be occurring, the results of the analysis are stored in the customer experience analysis store. The hub profile 111 is updated and the hub manager 113 will notify the particular hub 3 so that it can update its LED notification and also the hub status page to provide the customer with more information relating to the detected problems. Furthermore, a number of externally connected interfaces such as the network operations interface 135, a central customer interface 133 and a call centre advisor interface 137 are able to access the customer experience analysis store 131 to update respective databases in the ISP network core 11.
The above processing by the customer experience flow analyzer 129 determines whether the wireless network for a particular hub has deteriorated as an indication of contention or interference for that hub.
The second type of processing by the customer experience flow analyzer 129 analyses the flow records and statistical data from multiple hubs to try to identify correlation and patterns in the wireless performance among groups of hubs. For example:
To determine whether there may be device interoperability issues, the management server 27 also contains a device classifier 211, a user device store 213 and access point store 215 and an interoperability problem analyzer 217.
To gather device information about the connected devices 21 and hubs 3, the device classifier 211 receives the DHCP request information sent by the DHCP monitor 203 of each hub 3 via the hub interface 121. The device classifier 211 uses DHCP fingerprinting techniques such as disclosed in FingerBank (www.fingerbank.org) to determine the at least one of the make, model and/or operating system of the user device 21 which issued the DHCP request based on analysis of the order of the option 55 parameter Request list items in each DHCP exchange. Following the DHCP fingerprinting, the extracted information is stored in the user device store 213 indexed by the device MAC address which is also included in the forwarded information from the DHCP monitor of the associated hub 3.
The device classifier 211 also, in the present embodiment, receives and processes received HTTP UAS information from the HTTP monitor 213 of each hub 3. The device classifier 211 uses the information in the UAS to classify the make and model and OS of the device 21 and to update the device entry in the device store 213 (previously created by the processing for the DHCP request and fingerprinting technique for that device 21 as indexed by its MAC address.
The device information gathered from DHCP and HTTP requests are stored in the user device store 213 so that it contains an entry for each connected device 21 of each hub 3 which are monitored by the management server 27, while hub 3 information is stored in the access point store 215.
Having gathered identity information for each user device connected to each hub, and furthermore having flow performance data for certain IP flows of the devices from the Customer Experience Analysis store 131, the interoperability problem analyzer 217 analyses the collected data to try to identify interoperability issues. In this embodiment, the analysis includes creating frequency histograms and averages of each metric measured by the customer experience flow analyzer 129 (and stored in customer experience flow store 131) for each collected device data field (device make, device model and/or device) and identifying trends of lower performance for certain device/hub combinations.
The analysis may involve:
This will create for each hub a list of devices which are performing lower than expected given the rest of the devices connected to that hub.
In order to identify large scale trends, these lists of poor performing devices for each hub type are analyzed together and grouped according to device type or OS version (for example). For example, if the list contains 100,000 devices with the same device identifier “Samsung Galaxy S2”, and 90% of them are poorly performing when the average for all device types is much lower, this is a good indication that a device interoperability problem exists. For finer level analysis, the interoperability problem analyzer can sort the instances of “Samsung Galaxy S2” according to OS version or hardware revision. This analysis results in a finding that there is uniform distribution in the poor performance based on the hardware revision, e.g. the fault occurs equally likely on an International Galaxy S2 or an AT&T Galaxy S2, however, all of the listed devices are Galaxy S2 devices which are running Android 2.3.
Examples of device incompatibility issues which would be flagged by the interoperability problem analyzer include:
Once possible device interoperability issues are identified, the interoperability problem analyzer sends the results to the network operations interface 135 so that the ISP operator is made aware of the potential problem. Possible actions by the operator include notifying the equipment manufacturers, issuing a fix on the hubs 3 if possible and/or updating an information page.
Once a device interoperability issue has been identified, the management server 27 can notify any hubs 3 connected to any of the identified devices exhibiting interoperability issues and the hub status manager 66 can alert the user.
In the first embodiment a system of hubs having wireless access points located at customer premises and a management server located in the ISP's network core are described. The hubs are modified to analyze data traffic passing via their Wi-Fi interface in accordance with rules and conditions provided by the management server, and then send reports about the traffic to the management server. The management server analyses the data to determine whether the customer's Wi-Fi network is experiencing wireless problems and alerts the customer. The management server further identifies device interoperability issues manifesting a reduced performance relative to the rest of the network.
In the embodiment, the hub is configured to send flow data to the management server to calculate whether interference is detected. Such an arrangement minimizes the effect of the extra processing on the hub. In a modification, especially for newer hubs having greater processing capacity, the first type of processing can be carried out by the hub itself to identify wireless problems and the management server only needs to be notified of the results of the processing and carry out the second type of processing to look for problems affecting groups of hubs. In this modification, the hub contains further data stores to store historic profile information in order to determine thresholds and make a determination of wireless problems.
In the embodiment, the hub is arranged to only replicate wireless interface packets. In a modification, other interfaces can be monitored to detect problems in performance, for example, if the user wishes to monitor the performance of a Powerline Ethernet section of the network connected to a particular Ethernet port of the hub.
In the embodiment, both DHCP request fingerprinting and HTTP UAS processing is carried out to determine device identity. Such analysis provides both hardware and software information about the devices connected to each wireless access point. In an alternative, only DHCP fingerprinting is carried out and in a yet further alternative only HTTP UAS processing is performed.
In the embodiment, the hubs are arranged to obtain device identity information passively based on DHCP and/or HTTP requests. In a modification, the user is provided with the option of explicitly entering device type and version information into the hub interface. This information is passed to the management server and processing can be more accurate in identifying specific interoperability issues.
| Number | Date | Country | Kind |
|---|---|---|---|
| 14250060.2 | Mar 2014 | EP | regional |
| 14250061.0 | Mar 2014 | EP | regional |
| 14175108.1 | Jun 2014 | EP | regional |
The present application is a National Phase entry of PCT Application No. PCT/GB2015/050906, filed on 26 Mar. 2015, which claims priority to EP Patent Application No. 14175108.1, filed on 30 Jun. 2014, and which also claims priority to EP Patent Application No. 14250060.2, filed on 31 Mar. 2014, and which also claims priority to EP Patent Application No. 14250061.0, filed on 31 Mar. 2014, all of which are hereby fully incorporated herein by reference.
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/GB2015/050906 | 3/26/2015 | WO | 00 |
