The present invention relates to computer network communication, and more specifically to prioritizing network traffic among distinct channels of communication within a single application.
Computing systems are becoming increasing interconnected through network environments. Such network environments may be centralized or decentralized. A decentralized computing environment may be defined by a number of computing systems interconnected to communicate with one another, wherein each computing system can perform both client and server functions. A peer-to-peer (P2P) network represents an example of a decentralized computing environment in which each computing system within the P2P network is defined as a peer of every other computing system within the network. For discussion purposes, each peer computing system within the P2P network is referred to as a node. Additionally, each node within the P2P network may be configured to execute software having substantially equivalent functionality. Therefore, each node may act as both a provider and a user of data and services across the P2P network. Peer to peer networks are distributed data networks without any centralized hierarchy or organization. Peer to peer data networks provide a robust and flexible means of communicating information between large numbers of computers or other information devices, referred to in general as nodes.
A P2P network relies primarily on the computing power and bandwidth of the participants in the network rather than concentrating it in a relatively low number of servers. P2P networks are typically used for connecting nodes via largely ad hoc connections. Such networks are useful for many purposes. P2P networks may be used, e.g., for sharing content files containing audio, video, data or anything in digital format is very common, and real-time data, such as telephony traffic, may also be transmitted using P2P technology.
P2P applications often involve a significant amount of communication between nodes over different communication channels. By way of example, such channels may include an audio channel, a video channel, and a file transfer channel. A given application, e.g., audio-video (A/V) chat may communicate using all three channels. Typically, an application has a limited amount of network bandwidth available for communication. The application distributes the available bandwidth among the communication channels.
Prior art network implementations involving multiple communication channels typically adopt an “all or nothing” approach that can lead to starvation. For example, consider a very low bandwidth situation where a user is attempting to engage in A/V chat involving transmission of captured audio and video frames. If the user does not have enough bandwidth available to transmit all of the captured audio and video frames, prior art techniques typically gives complete priority to the audio frames and not transmit any video frames. This may reduce quality of service for the A/V chat.
It is within this context that embodiments of the present invention arise.
Embodiments of the present invention may be readily understood by considering the following detailed description in conjunction with the accompanying drawings, in which
Although the following detailed description contains many specific details for the purposes of illustration, anyone of ordinary skill in the art will appreciate that many variations and alterations to the following details are within the scope of the invention. Accordingly, the exemplary embodiments of the invention described below are set forth without any loss of generality to, and without imposing limitations upon, the claimed invention.
According to embodiments of the present invention, bandwidth starvation issues may be avoided by prioritizing network traffic among distinct channels of communication within a single application.
As seen from
Each node 110, 120, 130, 140 may include a bandwidth module 104, which may be implemented in software or hardware. The bandwidth module 104 is responsible for estimating the available bandwidth for communication with the other nodes. For example, if Node A 110 is participating in audio video chat with Node C 130 and Node D 140, the bandwidth module estimates the available bandwidth Node A 110 has for communication with Node C 130 and Node D 140. Similarly, the bandwidth module 104 at Node C 130 may estimate the available bandwidth node C 130 has for communication with Node A 110 and Node D 140. In embodiments of the present invention, it is desirable to have accurate bandwidth estimates. A specific example of a bandwidth detection module is described in commonly assigned U.S. Provisional Patent Application 60/992,282, to Yutaka Takeda et al, entitled NETWORK BANDWIDTH DETECTION AND DISTRIBUTION. Network traffic prioritization may be implemented by a scheduler 106 running on one of the nodes, e.g., Node A 110. The scheduler 106 may be implemented in software, hardware, or some combination of software and hardware. By way of example, and without loss of generality, the scheduler 106 may be programmed with instructions that implement a method 200 for prioritizing network traffic illustrated in
As seen from
The scheduler 106 may be configured to implement the distribution of the bandwidth quantum BQ amongst the available channels C1 . . . CN. Referring again to
is a sum of the priorities P1 . . . PN for all of the channels C1 . . . CN.
The quantity
is sometimes referred to herein as the relative priority Preli for channel Ci. The scheduler 106 may distribute the bandwidth quantum BQ according to priorities assigned by one or more policy modules 108. By way of example, the policy modules 108 may include individual policy modules PM1 . . . PMN for each of the communication channels C1 . . . CN. The policy modules 108 may generate policy parameters 109 that the scheduler 106 uses to determine the distribution of the bandwidth quantum BQ amongst the channels C1 . . . C5. The parameters 109 may include priorities P1 . . . PN. The policy modules 108 may assign priorities P1 . . . PN based on the needs of the application 102. The priorities P1 . . . PN determine how the bandwidth quantum BQ is shared between the communication channels C1 . . . CN. Such “bandwidth distribution” may be implemented at some fixed frequency (e.g., 50 Hz in some implementations) by the scheduler 106. At regular intervals, the scheduler 106 may obtain a bandwidth estimation from the bandwidth module 104, determine the bandwidth quantum BQ and divide the bandwidth quantum BQ between the communication channels C1 . . . CN based on their priorities P1 . . . PN.
As a numerical example, assume the bandwidth module 104 estimates a bandwidth BW of 200 kbps for a certain connection. Further suppose that a software designer has configured the scheduler 106 to assign a priority P1=100 to an audio channel C1, a priority P2=20 to a video channel C2 and a priority P3=5 to a file transfer channel C3. If scheduler 106 is configured to trigger at 50 Hz, the time quantum T is approximately 20 milliseconds. By multiplying the estimated bandwidth BW by the time quantum T one obtains a bandwidth quantum BQ=200 Kbps×0.02 s=4 kb. From the priorities P1, P2 and P2 of 100, 20 and 5 one may calculate relative priorities of Prel1=100/125=0.8, Prel2=20/125=0.16 and Prel3=10/125=0.04. Thus, for this distribution cycle, audio is assigned a portion Rt=3.2 Kb, video is assigned a portion R2=0.64 Kb and file transfer is assigned a portion R3=0.16 Kb.
The priorities P1 . . . PN may be assigned to the communication channels C1 . . . CN based on the nature and type of data being transmitted over the channels. For example, in the context of A/V chat, nature of streaming audio data may dictate that an audio channel be assigned a relatively high priority than streaming video data. Specifically, streaming audio tends to be relatively tolerant to packet loss. Streaming audio also tends to use a relatively constant amount of bandwidth (e.g., about 12 Kbps) compared to either video or file transfer.
Streaming video data tends to use a relatively wide range of bandwidth, e.g., about 100-300 Kbps depending on compression, and is tolerant to packet loss. Streaming video tends to be less constant than audio. As a result, a streaming video channel may be assigned a lower priority than a streaming audio channel. File transfer data tends to be unpredictable and intermittent and uses as much bandwidth as is available. Unlike audio and video channels, a file transfer channel could theoretically use an infinite amount of bandwidth if it were available. File transfer data is intolerant to packet loss. File transfer data may be significantly less time insensitive than either video or audio data. Consequently, file transfer data channels may be assigned a significantly lower priority than streaming video channels.
Furthermore, priorities may be assigned based on other considerations, e.g., economic considerations. For example, the data channels C1 . . . CN may include one or more channels devoted to advertising data. The priorities assigned to such advertising channels may be based partly on rates that advertisers are willing to pay to have their advertisements distributed by the nodes. Specifically, within the scheduler 106, selected ones of the priority modules PM1 . . . PMN associated with advertising channels may be configured to assign a higher priority if a higher advertising rate has been paid.
In addition to priorities, each policy module PM1 . . . PMN may determine maximum values M1 . . . MN and minimum values m1 . . . mN for the portions of the bandwidth quantum BQ that are corresponding assigned to channels C1 . . . CN. Such maximum and minimum values may be regarded as a subset of the policy parameters 109. Generally, for a given channel Ci, m1<MN Maximum and minimum values may be used to tailor the distribution of the bandwidth quantum BQ at 204 to the needs of the application. The maximum and minimum values may have any suitable value. A given minimum value may be as low as zero. A given maximum may be infinite. In some cases, the scheduler 106 may initially assign a give channel Ci a portion that has a size Ri greater than its corresponding maximum value Mi. In such a case, the scheduler 106 may be configured, e.g., by suitable programming, to distribute the difference between Ri and Mi amongst the remaining channels. For example, if a channel C1 has a maximum bandwidth portion M1 of 5 Kb and its portion R1 is 8.5 Kb. The difference, 8.5 Kb−5 Kb=3.5 Kb, may be distributed amongst the remaining channels, e.g., on a pro-rata basis dependent on relative priority. For example, suppose there are only two other channels C2 and C3 with relative priorities P2rel=0.4 and P3rel=0.1. The distributor 106 may split up the remaining 3.5 Kb as follows. Channel C2 could be allocated an amount equal to
in addition to its regular portion R2 of the bandwidth quantum BQ. Similarly, channel C3 could be allocated
in addition to its regular portion R3 of the bandwidth quantum BQ.
If a given communication channel Ci has a minimum bandwidth quantum portion mi all channels of a lower priority that C, may be excluded from bandwidth distribution at 204 during the time quantum T until a minimum amount of data mi has been transmitted by the channel Ci. If more than one channel has a minimum, the bandwidth quantum is initially distributed to the highest priority channel with a minimum and any other channels having a higher priority. It is important to select the minimum values m1 . . . mN carefully in order to avoid bandwidth starvation. The minimum amount of data mi represents a minimum amount of data to be sent by the channel C, during the time quantum T. The minimum value may also be thought of as an expected minimum size of data to send. It is possible that the provided minimum value may be a best guess, and more or less data could actually be available to send. For example, a channel for audio data may always use close to 12 Kbps, so 12 Kbps may be set as the minimum value mi for that channel. However, depending on the compression used, the actual amount of data may be slightly below 12 kbps at times or slightly over 12 kbps.
Furthermore the policy modules PM1 . . . PMN may generate parameters associated with queuing policies QP1 . . . QPN to the channels C1 . . . CN. Each queuing policy determines what happens when multiple sends (e.g., data units such as packets or frames) are made on a single channel, but cannot all be sent immediately. A given queuing policy QPi may be matched by a software designer to the type of data being sent through the corresponding channel Ci. The nature of the queuing policy QPi may depend on the nature of the data being sent over the channel Ci. For example, real time streaming data, e.g., streaming audio or video, may have different requirements than non-streaming data. In the case of video channel C2, two or more video frames may be captured from a camera at different times. Due to the real-time nature of streaming video data, an older frame may be useless and could be discarded in favor of a newer frame. Thus the video channel C2 may use a queuing policy that selectively discards older images in favor of the newer images. A similar policy may be implemented for the audio channel C1. For the file transfer channel C3, by contrast, it may be more desirable to transmit every packet regardless of age. Consequently, the filer transfer channel C3 may have a different queuing policy attached it. By way of example, the file transfer channel may have a queuing policy that buffers all packets that cannot be sent during the time quantum T.
Each channel Ci may utilize the bandwidth portion Ri that was assigned to it during the time quantum T. Referring again to
If a given channel Ci does not use its entire reserved portion Ri during the time quantum T, any unused part of the reserved portion Ri may be redistributed to the other channels. By way of example, if not all of the ready data has been sent at 208 the scheduler 106 may determine at 210 whether there is any unused reserved portion Ri to redistribute. If there is both unsent data and one or more unused reserved portions of the bandwidth quantum, then at 212 any unused part of any reserved portion Ri may be redistributed amongst any of the N communication channels Ci . . . CN having un-transmitted ready data. Such redistribution may take place on a pro-rata basis based on relative priority. This sequence may repeat until all ready data has been sent or there is no unused portion of the bandwidth quantum BQ. Otherwise, the cycle may begin again, e.g., at normal distribution at 204 or (optionally) determination of a new bandwidth quantum BQ at 202. The cycle may then return repeat continually.
It is noted that the beginning and end of the cycle are somewhat arbitrary. For example, although from
In the node 300 a memory 302 may be coupled to the CPU 301. The memory 302 may store applications and data for use by the CPU 301. The memory 302 may be in the form of an integrated circuit, e.g., RAM, DRAM, ROM, and the like). A computer program 303 may be stored in the memory 302 in the form of instructions that can be executed on the processor 301. The instructions of the program 303 may be configured to implement, amongst other things, one or more applications, such as the application 102 described above with respect to
The memory 302 may contain data that is generated by or usable by the program 303, bandwidth module 304, scheduler 306, and policy modules 308. Specifically, such data may include, but is not limited to policy module parameters 309, a bandwidth quantum BQ and a time quantum T. The policy module parameters 309 may include priorities P1, P2, and P3 respectively associated with the audio channel C1, video channel C2, and file transfer channel C3. The policy module parameters 309 may further include minimum values m1, m2 and m3 respectively associated with the audio channel Ci, video channel C2 and file transfer channel C3 as well as maximum values Mi, M2 and M3 respectively associated with the audio channel C1, video channel C2 and file transfer channel C3.
In addition, the memory 302 may be configured to include one or more buffers 310 for data generated by the program 303 for transmission via the communication channels. By way of example and without loss of generality, the buffers 310 may include an audio buffer B1 configured to buffer audio channel data 311, a video buffer B2 configured to buffer video channel data 312 and a file transfer buffer B3 configured to buffer file transfer channel data 313. The scheduler 306 may be configured, e.g., by appropriate programming, to implement buffering of data in accordance with one or more queuing policies 314. By way of example, and without loss of generality, the queuing policies 314 may include an audio data queuing policy QP1, a video data queuing policy QP2 and a file transfer queuing policy QP3. The queuing policies 314 may be configured, to determine what happens when multiple sends are made on a single channel, but cannot all be sent immediately, e.g., as described above.
The node 300 may further include a storage device 315 that provides non-volatile storage for applications and data. By way of example, the storage device 315 may be a fixed disk drive, removable disk drive, flash memory device, tape drive, CD-ROM, DVD-ROM, Blu-ray, HD-DVD, UMD, or other optical storage devices. The node 300 may also include well-known support functions 320 commonly used in computing systems. Such support functions may include such features as input/output (I/O) elements 321, power supplies (P/S) 322, a clock (CLK) 323 and cache 324.
One or more user input devices 325 may be used to communicate user inputs from one or more users to the node 300. By way of example, one or more of the user input devices 325 may be coupled to the node 300 via the I/O elements 321. Examples of suitable input devices 325 include keyboards, mice, joysticks, touch pads, touch screens, light pens, still or video cameras, and/or microphones. In the particular case of A/V chat, it is desirable for the user interface devices 325 to include both a camera and a microphone. A network interface 326 allows the node 300 to communicate with other computer systems via an electronic communications network 327. The network interface 326 may include wired or wireless communication over local area networks and wide area networks such as the Internet. The node 300 may send and receive data and/or requests for files via one or more message packets 328 over the network 327.
The node 300 may further comprise a graphics subsystem 330, which may include a graphics processing unit (GPU) 335 and graphics memory 340. The graphics memory 340 may include a display memory (e.g., a frame buffer) used for storing pixel data for each pixel of an output image. The graphics memory 340 may be integrated in the same device as the GPU 335, connected as a separate device with GPU 335, and/or implemented within the memory 302. Pixel data may be provided to the graphics memory 340 directly from the CPU 301. Alternatively, the CPU 301 may provide the GPU 335 with data and/or instructions defining the desired output images, from which the GPU 335 may generate the pixel data of one or more output images. The data and/or instructions defining the desired output images may be stored in buffers 310 and/or graphics memory 340. In an embodiment, the GPU 335 may be configured (e.g., by suitable programming or hardware configuration) with 3D rendering capabilities for generating pixel data for output images from instructions and data defining the geometry, lighting, shading, texturing, motion, and/or camera parameters for a scene. The GPU 335 may further include one or more programmable execution units capable of executing shader programs.
The graphics subsystem 330 may periodically output pixel data for an image from graphics memory 340 to be displayed on a display device 350. The display device 350 may be any device capable of displaying visual information in response to a signal from the computer system 300, including CRT, LCD, plasma, and OLED displays. The node 300 may provide the display device 350 with an analog or digital signal. By way of example, the display 350 may include a cathode ray tube (CRT) or flat panel screen that displays text, numerals, graphical symbols, or images. In addition, the node 300 may include one or more audio speakers 352 that produce audible or otherwise detectable sounds. To facilitate generation of such sounds, the node 300 may further include an audio processor 355 adapted to generate analog or digital audio output from instructions and/or data provided by the CPU 301, memory 302, and/or storage 315. In the particular case of A/V chat, it is desirable for the node 300 to include a graphical display device 350 and an audio speaker 352.
The components of the node 300, including the CPU 301, memory 302, support functions 320, data storage 315, user input devices 325, network interface 326, graphics subsystem 330 speaker 352 and audio processor 355 may be operably connected to each other via one or more data buses 360. These components may be implemented in hardware, software, firmware or some combination of two or more of these.
By way of example, and without loss of generality, software designers may implement embodiments of the present invention in software applications by creating a plurality of communication channels, and assigning a priority and a queuing policy to each one. Data could then be sent through these configured communication channels and the scheduler 306, policy modules 308, and queuing policies 314 may control the actual transmission of the data over the network 327.
At some point the time quantum T1 ends and a new time quantum T2 begins. In this example, 6 Kb remains from the reserved portions R1, R2, R3 of the bandwidth quantum BQ. This remaining portion may be returned for redistribution at the beginning of the new time quantum T2 as indicated at 422. The 6 Kb of returned reserved portion provides a redistribution quantum RD that may be distributed on a pro-rata basis amongst any of the channels C1, C2 C3 having un-transmitted ready data, e.g., buffered data.
In this example, the video channel C2 has 3 Kb of buffered data and the file transfer channel C3 has 9.5 Kb of buffered data at the beginning of the new time quantum T2. Since the audio channel C1 has no buffered data at this point, the 6 Kb of unused reserved portion is distributed between the video channel C2 and the file transfer channel C3. In this example, the priority P2 for the video channel C2 is twice as large as the priority for the file transfer channel C3. The scheduler 306 may therefore reserve 4 Kb of the redistribution quantum RD for the video channel C2 as indicated at 424 and 2 Kb of the redistribution quantum RD for the file transfer channel C3 as indicated at 426. The scheduler 306 may then cause the node 300 to send 2 Kb of buffered file transfer data 313 as indicated at 428. The remaining 3 Kb of buffered video data 312 may be sent and the leftover 1 Kb reserved as indicated at 430. The leftover 1 Kb may be returned to the redistribution quantum RD as indicated at 432. Since, at this point, only the file transfer channel C3 has buffered data, the entire 1 Kb of the redistribution quantum RD may be reserved for the file transfer channel C3 as indicated at 434. The scheduler 306 may then cause the node 300 to send 1 Kb of buffered file transfer data 313 while buffering the remaining 6.5 Kb as indicated at 436.
At this point in this example, the entire bandwidth quantum BQ has been used and normal distribution may take place for the new time quantum T2. For example, if the sizes of the time quantum and available bandwidth are the same as before, 1 Kb may be reserved for the video channel C2 at 438, 8.5 Kb may be reserved for the audio channel C1 at 440 and 500 b may be reserved for the file transfer channel C3 at 442. The reserved portions R1, R2, and R3 may be used during the remainder of the new time quantum T2 in a manner similar to that described above with respect to the previous time quantum T2. Any unused reserved portions may be redistributed at the beginning of a subsequent time quantum.
Although the discussion of
While the above is a complete description of the preferred embodiment of the present invention, it is possible to use various alternatives, modifications, and equivalents. Therefore, the scope of the present invention should be determined not with reference to the above description but should, instead, be determined with reference to the appended claims, along with their full scope of equivalents. Any feature described herein, whether preferred or not, may be combined with any other feature described herein, whether preferred or not. In the claims that follow, the indefinite article “A”, or “An” refers to a quantity of one or more of the item following the article, except where expressly stated otherwise. In the claims that follow, the expressions first and second are used to distinguish between different elements and do not imply any particular order or sequence. The appended claims are not to be interpreted as including means-plus-function limitations, unless such a limitation is explicitly recited in a given claim using the phrase “means for.”
This application is a continuation of commonly-assigned, U.S. patent application Ser. No. 12/267,233 to James E. Marr, Yutaka Takeda, Attila Vass, Payton White and Stephen C. Detwiler entitled “NETWORK TRAFFIC PRIORITIZATION”filed Nov. 7, 2008 now U.S. Pat. No. 7,856,501, the entire disclosures of which are incorporated herein by reference. This application claims the priority benefit of commonly-assigned, co-pending U.S. Provisional Patent application No. 60/992,295 to James E. Marr, Yutaka Takeda, Attila Vass, Payton White and Stephen C. Detwiler entitled “NETWORK TRAFFIC PRIORITIZATION” filed Dec. 4, 2007, the entire disclosures of which are incorporated herein by reference. This application claims the priority benefit of commonly-assigned, U.S. Provisional Patent application No. 60/992,282 to Yutaka Takeda, James E. Marr, Stephen C. Detwiler, Attila Vass, and Payton White entitled “NETWORK BANDWIDTH DETECTION AND DISTRIBUTION”, filed Dec. 4, 2007, the entire disclosures of which are incorporated herein by reference. This application claims the priority benefit of co-pending U.S. patent application Ser. No. 12/267,269 to James E. Marr, Yutaka Takeda, Attila Vass, Payton White and Stephen C. Detwiler entitled “NETWORK BANDWIDTH DETECTION, DISTRIBUTION AND TRAFFIC PRIORITIZATION” filed Nov. 7, 2008, the entire disclosures of which are incorporated herein by reference. This application claims the priority benefit of co-pending U.S. patent application Ser. No. 12/267,254 to Yutaka Takeda, James E. Marr, Stephen C. Detwiler, Attila Vass, and Payton White entitled “NETWORK BANDWIDTH DETECTION AND DISTRIBUTION” filed Nov. 7, 2008, the entire disclosures of which are incorporated herein by reference.
Number | Name | Date | Kind |
---|---|---|---|
4764928 | Akerberg | Aug 1988 | A |
4787051 | Olson | Nov 1988 | A |
4843568 | Krueger | Jun 1989 | A |
5128671 | Thomas, Jr. | Jul 1992 | A |
5313454 | Bustini et al. | May 1994 | A |
5528265 | Harrison | Jun 1996 | A |
5544325 | Denny et al. | Aug 1996 | A |
5596720 | Hamada et al. | Jan 1997 | A |
5630184 | Roper et al. | May 1997 | A |
5673252 | Johnson et al. | Sep 1997 | A |
5701427 | Lathrop | Dec 1997 | A |
5768382 | Schneier et al. | Jun 1998 | A |
5768531 | Lin | Jun 1998 | A |
5809106 | Kreitzer et al. | Sep 1998 | A |
5812531 | Cheung et al. | Sep 1998 | A |
5835726 | Shwed et al. | Nov 1998 | A |
5856972 | Riley et al. | Jan 1999 | A |
5898679 | Brederveld et al. | Apr 1999 | A |
6012096 | Link et al. | Jan 2000 | A |
6152824 | Rothschild et al. | Nov 2000 | A |
6157368 | Faeger | Dec 2000 | A |
6212633 | Levy et al. | Apr 2001 | B1 |
6247061 | Douceur et al. | Jun 2001 | B1 |
6327630 | Carroll et al. | Dec 2001 | B1 |
6349210 | Li | Feb 2002 | B1 |
6375572 | Masuyama | Apr 2002 | B1 |
6405104 | Dougherty | Jun 2002 | B1 |
6421347 | Borgstahl et al. | Jul 2002 | B1 |
6480748 | Gerszberg et al. | Nov 2002 | B1 |
6487583 | Harvey et al. | Nov 2002 | B1 |
6487600 | Lynch | Nov 2002 | B1 |
6549786 | Cheung et al. | Apr 2003 | B2 |
6553515 | Gross et al. | Apr 2003 | B1 |
6590865 | Ibaraki et al. | Jul 2003 | B1 |
6616531 | Mullins | Sep 2003 | B1 |
6640241 | Ozzie et al. | Oct 2003 | B1 |
6641241 | Ozzie et al. | Oct 2003 | B2 |
6641481 | Mai et al. | Nov 2003 | B1 |
6661799 | Molitor | Dec 2003 | B1 |
6667972 | Foltan et al. | Dec 2003 | B1 |
6668283 | Sitaraman et al. | Dec 2003 | B1 |
6701344 | Holt et al. | Mar 2004 | B1 |
6704574 | Lin | Mar 2004 | B2 |
6712697 | Acres | Mar 2004 | B2 |
6760775 | Anerousis et al. | Jul 2004 | B1 |
6772219 | Shobatake | Aug 2004 | B1 |
6779017 | Lamberton et al. | Aug 2004 | B1 |
6799255 | Blumenau et al. | Sep 2004 | B1 |
6807575 | Emaru et al. | Oct 2004 | B1 |
6816703 | Wood et al. | Nov 2004 | B1 |
6829634 | Holt et al. | Dec 2004 | B1 |
6848997 | Hashimoto et al. | Feb 2005 | B1 |
6891801 | Herzog | May 2005 | B1 |
6899628 | Leen et al. | May 2005 | B2 |
6920501 | Chu et al. | Jul 2005 | B2 |
6934745 | Krautkremer | Aug 2005 | B2 |
6978294 | Adams et al. | Dec 2005 | B1 |
7016942 | Odom | Mar 2006 | B1 |
7017138 | Zirojevic et al. | Mar 2006 | B2 |
7035911 | Lowery et al. | Apr 2006 | B2 |
7043641 | Martinek et al. | May 2006 | B1 |
7065579 | Traversat et al. | Jun 2006 | B2 |
7082316 | Eiden et al. | Jul 2006 | B2 |
7096006 | Lai et al. | Aug 2006 | B2 |
7120429 | Minear et al. | Oct 2006 | B2 |
7123608 | Scott et al. | Oct 2006 | B1 |
7127613 | Pabla et al. | Oct 2006 | B2 |
7130921 | Goodman et al. | Oct 2006 | B2 |
7134961 | Hora | Nov 2006 | B2 |
7155515 | Brown et al. | Dec 2006 | B1 |
7168089 | Nguyen et al. | Jan 2007 | B2 |
7174382 | Ramanathan et al. | Feb 2007 | B2 |
7177950 | Narayan et al. | Feb 2007 | B2 |
7177951 | Dykeman et al. | Feb 2007 | B1 |
7194654 | Wray et al. | Mar 2007 | B2 |
7197565 | Abdelaziz et al. | Mar 2007 | B2 |
7203841 | Jackson et al. | Apr 2007 | B2 |
7240093 | Danieli et al. | Jul 2007 | B1 |
7263070 | Delker et al. | Aug 2007 | B1 |
7272636 | Pabla | Sep 2007 | B2 |
7321928 | Feltin et al. | Jan 2008 | B2 |
7340500 | Traversat et al. | Mar 2008 | B2 |
7346015 | Shipman | Mar 2008 | B2 |
7392375 | Bartram et al. | Jun 2008 | B2 |
7398388 | Xu et al. | Jul 2008 | B2 |
7407434 | Thomas et al. | Aug 2008 | B2 |
7426185 | Musacchio et al. | Sep 2008 | B1 |
7429215 | Rozkin et al. | Sep 2008 | B2 |
7451490 | Pirich et al. | Nov 2008 | B2 |
7457279 | Scott et al. | Nov 2008 | B1 |
7529193 | Zimmerman et al. | May 2009 | B2 |
7533172 | Traversat et al. | May 2009 | B2 |
7803052 | Multerer et al. | Sep 2010 | B2 |
7856501 | Marr et al. | Dec 2010 | B2 |
7908393 | Marr et al. | Mar 2011 | B2 |
20010005368 | Rune | Jun 2001 | A1 |
20010017856 | Asokan et al. | Aug 2001 | A1 |
20010021188 | Fujimori et al. | Sep 2001 | A1 |
20010044339 | Cordero et al. | Nov 2001 | A1 |
20010046213 | Sakoda | Nov 2001 | A1 |
20020002074 | White et al. | Jan 2002 | A1 |
20020006114 | Bjelland et al. | Jan 2002 | A1 |
20020013838 | Kushida et al. | Jan 2002 | A1 |
20020035604 | Cohen et al. | Mar 2002 | A1 |
20020049841 | Johnson et al. | Apr 2002 | A1 |
20020055989 | Stringer-Calvert et al. | May 2002 | A1 |
20020075844 | Hagen | Jun 2002 | A1 |
20020085097 | Colmenarez et al. | Jul 2002 | A1 |
20020097732 | Worster et al. | Jul 2002 | A1 |
20020107786 | Lehmann-Haupt et al. | Aug 2002 | A1 |
20020107935 | Lowery et al. | Aug 2002 | A1 |
20020119821 | Sen et al. | Aug 2002 | A1 |
20020138471 | Dutta et al. | Sep 2002 | A1 |
20020143855 | Traversat et al. | Oct 2002 | A1 |
20020147810 | Traversat et al. | Oct 2002 | A1 |
20020161821 | Narayan et al. | Oct 2002 | A1 |
20020183004 | Fulton et al. | Dec 2002 | A1 |
20020184310 | Traversat et al. | Dec 2002 | A1 |
20020184311 | Traversat et al. | Dec 2002 | A1 |
20030027634 | Matthews, III | Feb 2003 | A1 |
20030028585 | Yeager et al. | Feb 2003 | A1 |
20030045359 | Leen et al. | Mar 2003 | A1 |
20030046292 | Subramanian et al. | Mar 2003 | A1 |
20030055892 | Huitema et al. | Mar 2003 | A1 |
20030079003 | Burr | Apr 2003 | A1 |
20030084282 | Taruguchi | May 2003 | A1 |
20030097408 | Kageyama et al. | May 2003 | A1 |
20030104829 | Alzoubi et al. | Jun 2003 | A1 |
20030115258 | Baumeister et al. | Jun 2003 | A1 |
20030126229 | Kantor et al. | Jul 2003 | A1 |
20030126245 | Feltin et al. | Jul 2003 | A1 |
20030152034 | Zhang et al. | Aug 2003 | A1 |
20030158961 | Nomura et al. | Aug 2003 | A1 |
20030162556 | Libes | Aug 2003 | A1 |
20030177187 | Levine et al. | Sep 2003 | A1 |
20030182421 | Faybishenko et al. | Sep 2003 | A1 |
20030182428 | Li et al. | Sep 2003 | A1 |
20030191828 | Ramanathan et al. | Oct 2003 | A1 |
20030217096 | McKelvie et al. | Nov 2003 | A1 |
20030217135 | Chatani et al. | Nov 2003 | A1 |
20030223430 | Lodha | Dec 2003 | A1 |
20030227939 | Yukie et al. | Dec 2003 | A1 |
20030229779 | Morais et al. | Dec 2003 | A1 |
20030229789 | Morais et al. | Dec 2003 | A1 |
20030233281 | Takeuchi et al. | Dec 2003 | A1 |
20040007618 | Oram et al. | Jan 2004 | A1 |
20040015548 | Lee | Jan 2004 | A1 |
20040018839 | Andric et al. | Jan 2004 | A1 |
20040024879 | Dingman et al. | Feb 2004 | A1 |
20040063497 | Gould | Apr 2004 | A1 |
20040085947 | Ekberg et al. | May 2004 | A1 |
20040087369 | Tanaka | May 2004 | A1 |
20040088369 | Yeager et al. | May 2004 | A1 |
20040103179 | Damm et al. | May 2004 | A1 |
20040110563 | Tanaka | Jun 2004 | A1 |
20040133631 | Hagen et al. | Jul 2004 | A1 |
20040139228 | Takeda et al. | Jul 2004 | A1 |
20040162871 | Pabla et al. | Aug 2004 | A1 |
20040181463 | Goldthwaite et al. | Sep 2004 | A1 |
20040207880 | Thakur | Oct 2004 | A1 |
20040212589 | Hall et al. | Oct 2004 | A1 |
20040236863 | Shen et al. | Nov 2004 | A1 |
20040236945 | Risan et al. | Nov 2004 | A1 |
20040243665 | Markki et al. | Dec 2004 | A1 |
20040254977 | Zhang | Dec 2004 | A1 |
20040267876 | Kakivaya et al. | Dec 2004 | A1 |
20050007964 | Falco et al. | Jan 2005 | A1 |
20050015626 | Chasin | Jan 2005 | A1 |
20050020354 | Nguyen et al. | Jan 2005 | A1 |
20050026698 | Pirich et al. | Feb 2005 | A1 |
20050063409 | Oommen | Mar 2005 | A1 |
20050064939 | McSheffrey et al. | Mar 2005 | A1 |
20050065632 | Douglis et al. | Mar 2005 | A1 |
20050080858 | Pessach | Apr 2005 | A1 |
20050086287 | Datta | Apr 2005 | A1 |
20050086288 | Datta et al. | Apr 2005 | A1 |
20050086329 | Datta et al. | Apr 2005 | A1 |
20050086350 | Mai | Apr 2005 | A1 |
20050086369 | Mai et al. | Apr 2005 | A1 |
20050105526 | Stiemerling et al. | May 2005 | A1 |
20050141522 | Kadar et al. | Jun 2005 | A1 |
20050221858 | Hoddie | Oct 2005 | A1 |
20050250487 | Miwa | Nov 2005 | A1 |
20050251577 | Guo et al. | Nov 2005 | A1 |
20050259637 | Chu et al. | Nov 2005 | A1 |
20050262411 | Vertes | Nov 2005 | A1 |
20060063587 | Manzo | Mar 2006 | A1 |
20060067290 | Miwa | Mar 2006 | A1 |
20060068702 | Miwa | Mar 2006 | A1 |
20060075127 | Juncker et al. | Apr 2006 | A1 |
20060084504 | Chan et al. | Apr 2006 | A1 |
20060111979 | Chu | May 2006 | A1 |
20060209822 | Hamamoto | Sep 2006 | A1 |
20060288103 | Gobara et al. | Dec 2006 | A1 |
20070058792 | Chaudhari et al. | Mar 2007 | A1 |
20070061460 | Khan et al. | Mar 2007 | A1 |
20070077981 | Hungate et al. | Apr 2007 | A1 |
20070081459 | Segel et al. | Apr 2007 | A1 |
20070198418 | MacDonald et al. | Aug 2007 | A1 |
20070213124 | Walker et al. | Sep 2007 | A1 |
20070217436 | Markley et al. | Sep 2007 | A1 |
20070237153 | Slaughter et al. | Oct 2007 | A1 |
20080298376 | Takeda et al. | Dec 2008 | A1 |
20090013175 | Elliott | Jan 2009 | A1 |
20090077245 | Smelyansky et al. | Mar 2009 | A1 |
20090094370 | Jacob et al. | Apr 2009 | A1 |
20090111532 | Salokannel et al. | Apr 2009 | A1 |
20090138610 | Gobara et al. | May 2009 | A1 |
20090144423 | Marr | Jun 2009 | A1 |
20090144424 | Takeda | Jun 2009 | A1 |
20090144425 | Marr et al. | Jun 2009 | A1 |
20090240821 | Juncker et al. | Sep 2009 | A1 |
Number | Date | Country |
---|---|---|
0 913 965 | May 1999 | EP |
1 107 508 | Jun 2001 | EP |
1 374 959 | May 2003 | EP |
2829648 | Mar 2003 | FR |
2001 53901 | Feb 2001 | JP |
2002 10321 | Jan 2002 | JP |
2004 135778 | May 2004 | JP |
2004 136009 | May 2004 | JP |
2004 141225 | May 2004 | JP |
2005 319047 | Nov 2005 | JP |
2005 323116 | Nov 2005 | JP |
2005 323117 | Nov 2005 | JP |
0211366 | Feb 2002 | WO |
03069495 | Aug 2003 | WO |
2004038541 | May 2004 | WO |
WO2004063843 | Jul 2004 | WO |
WO2005088466 | Sep 2005 | WO |
WO 2009073312 | Jun 2009 | WO |
Number | Date | Country | |
---|---|---|---|
20110099278 A1 | Apr 2011 | US |
Number | Date | Country | |
---|---|---|---|
60992295 | Dec 2007 | US | |
60992282 | Dec 2007 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 12267233 | Nov 2008 | US |
Child | 12975183 | US |