System and method for providing scatter/gather data processing in a middleware environment

Information

  • Patent Grant
  • 9864759
  • Patent Number
    9,864,759
  • Date Filed
    Tuesday, June 28, 2011
    13 years ago
  • Date Issued
    Tuesday, January 9, 2018
    6 years ago
Abstract
Systems and methods are provided for providing scatter/gather data processing. In accordance with an embodiment, a such a system can include a cluster of one or more high performance computing systems, each including one or more processors and a high performance memory. The cluster communicates over an InfiniBand network. The system can also include a middleware environment, executing on the cluster, that includes one or more application server instances. The system can further include a plurality of muxers. Each application server instance includes at least one muxer, and each muxer is operable to collect data from a plurality of locations in the high performance memory, and transfer the data in bulk.
Description
COPYRIGHT NOTICE

A portion of the disclosure of this patent document contains material which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent file or records, but otherwise reserves all copyright rights whatsoever.


FIELD OF INVENTION

The present invention is generally related to computer systems and software such as middleware, and is particularly related to systems and methods for scatter/gather data processing in a middleware environment.


BACKGROUND

Within any large organization, over the span of many years the organization often finds itself with a sprawling IT infrastructure that encompasses a variety of different computer hardware, operating-systems, and application software. Although each individual component of such infrastructure might itself be well-engineered and well-maintained, when attempts are made to interconnect such components, or to share common resources, it is often a difficult administration task. In recent years, organizations have turned their attention to technologies such as virtualization and centralized storage, and even more recently cloud computing, which can provide the basis for a shared infrastructure. However, there are few all-in-one platforms that are particularly suited for use in such environments. These are the general areas that embodiments of the invention are intended to address.


SUMMARY

Systems and methods are provided for providing scatter/gather data processing in a middleware environment. In accordance with an embodiment, such a system can include a cluster of one or more high performance computing systems, each including one or more processors and a high performance memory. The cluster communicates over an InfiniBand network. The system can also include a middleware environment, executing on the cluster, that includes one or more application server instances. The system can further include a plurality of multiplexers (hereinafter referred to as a muxer). Each application server instance includes at least one muxer, and each muxer is operable to collect data from a plurality of locations in the high performance memory, and transfer the data in bulk.





BRIEF DESCRIPTION OF THE FIGURES


FIG. 1 shows an illustration of a middleware machine environment, in accordance with an embodiment.



FIG. 2 shows another illustration of a middleware machine platform or environment, in accordance with an embodiment.



FIG. 3 shows a system that utilizes Ethernet protocol, in accordance with an embodiment.



FIG. 4 shows a system that utilizes IPoIB and parallel muxing, in accordance with an embodiment.



FIG. 5 shows a flowchart of a method for providing scatter/gather I/O in accordance with an embodiment.





DETAILED DESCRIPTION

In the following description, the invention will be illustrated by way of example and not by way of limitation in the figures of the accompanying drawings. References to various embodiments in this disclosure are not necessarily to the same embodiment, and such references mean at least one. While specific implementations are discussed, it is understood that this is done for illustrative purposes only. A person skilled in the relevant art will recognize that other components and configurations may be used without departing from the scope and spirit of the invention.


Furthermore, in certain instances, numerous specific details will be set forth to provide a thorough description of the invention. However, it will be apparent to those skilled in the art that the invention may be practiced without these specific details. In other instances, well-known features have not been described in as much detail so as not to obscure the invention.


As described above, in recent years, organizations have turned their attention to technologies such as virtualization and centralized storage, and even more recently cloud computing, which can provide the basis for a shared infrastructure. However, there are few all-in-one platforms that are particularly suited for use in such environments. Described herein is a system and method for providing a middleware machine or similar platform (referred to herein in some implementations as “Exalogic”), which comprises a combination of high performance hardware, together with an application server or middleware environment, and additional features, to provide a complete Java EE application server complex which includes a massively parallel in-memory grid, can be provisioned quickly, and can scale on demand.


In particular, as described herein, systems and methods are provided for providing scatter/gather data processing in a middleware environment. In accordance with an embodiment, a such a system can include a cluster of one or more high performance computing systems, each including one or more processors and a high performance memory. The cluster communicates over an InfiniBand network. The system can also include a middleware environment, executing on the cluster, that includes one or more application server instances. The system can further include a plurality of muxers. Each application server instance includes at least one muxer, and each muxer is operable to collect data from a plurality of locations in the high performance memory, and transfer the data in bulk.


Typically, the memory space in a computer system is fragmented. That is, related pieces of data are generally not stored in a single contiguous area, but rather are spread throughout the memory space. The process of writing the data to the various locations in memory where it is stored is referred to as scattering. Similarly, the processing of reading the data from the various locations in memory where it is stored is referred to as gathering. In a typical system, limited by a relatively low maximum transfer unit (MTU), each piece of data may be scattered and gathered individually, or in small groups. However, in accordance with an embodiment, the system can obtain pointers to all of the pieces of data and perform a single bulk write. Because writing each piece of data separately can require many context switches for the CPU, by writing in bulk context switching is greatly reduced and system performance, particularly latency, is improved. Additionally, writing in bulk better utilizes the available bandwidth, making the system more efficient. In accordance with an embodiment, the increase in bandwidth, and the concomitant increase in MTU, provides significant system improvements, in particular it minimizes context switching which is CPU intensive. Instead of data transfers that require multiple round trips, and therefore multiple context switches, over many iterations, the same data transfer can be accomplished in only a few, or even a single, iteration.



FIG. 1 shows an illustration of a middleware machine environment 100, in accordance with an embodiment. As shown in FIG. 1, each middleware machine system 102 includes several middleware machine rack components 104, each of which includes a combination of high-performance middleware machine hardware nodes 106 (e.g., 64-bit processors, high performance large memory, and redundant InfiniBand and Ethernet networking), and a middleware machine software environment 108. The result is a complete application server environment which can be provisioned in minutes rather than days or months, and which can scale on demand. In accordance with an embodiment, each middleware machine system can be deployed as a full, half, or quarter rack, or other configuration of rack components, and several middleware machine systems can be coupled together, again using InfiniBand, to create larger environments. Each middleware machine software environment can be provisioned with several application server or other software instances, for example as shown in FIG. 1, an application server instance 109 could comprise a virtual machine 116, operating system 120, virtualization layer 124, and application server layer 128 (e.g. WebLogic, including servlet 132, EJB 134, and Gridlink 136 containers); while another application server instance 110 could comprise a virtual machine 118, operating system 122, virtualization layer 126, and data grid layer 140 (e.g. Coherence, including an active cache 142). Each of the instances can communicate with one another, and with both its middleware machine hardware node, and other nodes, using a middleware machine integration component 150, such as an ExaLogic integration pack, which itself provides several optimization features, such as support for InfiniBand and other features, as described in further detail below.



FIG. 2 shows another illustration of a middleware machine platform or environment, in accordance with an embodiment. As shown in FIG. 2, each application server instance can act as a sender and/or receiver 160, 161 within the middleware machine environment. Each application server instance is also associated with a muxer 162, 163, that allows application servers to communicate with one another via an InfiniBand network 164. In the example shown in FIG. 2, an application server instance can include middleware machine software environment features 180 such as a kernel space 162, user space 164, and application server (e.g. WebLogic space) 166, which in turn can includes a sockets direct protocol 168, JVM (e.g. JRockit/Hotspot layer) 170, WLS core 172, servlet container 174, and JSP compiler 176. In accordance with other examples, other combinations of middleware-type software can be included. In accordance with various embodiments, the machine integration component can provide features such as Zero Buffer Copies, Scatter/Gather I/O, T3 Connections, Lazy Deserialization, and GridLink DataSource, to provide the basis for, and improve performance within, the shared infrastructure.


Scatter/Gather I/O


In accordance with an embodiment, the system can use Scatter/Gather I/O, which minimizes fragmentation of network packets, allowing the OS to perform fragmentation based on the use of Java New I/O (NIO). Additionally, in accordance with an embodiment, the system uses Internet Protocol over InfiniBand (IPoIB) protocol, which has a maximum transfer unit (MTU) of 64 KB. By comparison, Ethernet has an MTU of 1.5 KB. Using IPoIB allows the application server, e.g. WebLogic Server, to write more data at a time. Additionally, typical Ethernet connections provide speeds on the order of 1 Gb/s, however, by using an InfiniBand network, speeds of upwards of 40 Gb/s are available. This provides greater flexibility and allows much more data to be passed through the connection. Ideally, the system that utilizes such a connection can adapt to push more data through the network to saturate, and efficiently use, the available bandwidth.



FIG. 3 shows a system that utilizes Ethernet protocol, in accordance with an embodiment. In a system that utilizes an Ethernet network 300, data can only be written in relatively small portions. As shown in FIG. 3, server 302 is connected to server 304 via an Ethernet network 300. The two servers communicate across a single channel using single muxers 306 and 308. Data transmissions are limited by the Ethernet connection which, as shown in FIG. 3, force the servers to communicate in 4 KB chunks. Attempts to transmit more data than this at a time, and the capacity of the network will be exceeded. This forces more work to be performed at the kernel level, specifically the kernel level divides the data into smaller units and imposes flow control on the fly. This can be costly in time and resources.



FIG. 4 shows a system that utilizes IPoIB and parallel muxing, in accordance with an embodiment. As described above, the InfiniBand network provides greater bandwidth compared to typical Ethernet connections. This greater bandwidth allows for a larger MTU to be used. As shown in FIG. 4, server 306 is connected to server 308 over an InfiniBand network 310. By utilizing the greater bandwidth available through InfiniBand, the system can push data through in much larger, as compared to Ethernet, 64 KB chunks. In such a system, the kernel level recognizes the increased bandwidth and pushes the larger data units without performing the additional work of further dividing the data into smaller units and imposing flow control.


In accordance with an embodiment, within a cluster, multiple parallel logical connections, i.e., channels, can be used between servers. This allows for more data to be passed between servers concurrently, enabling multiple threads to execute in parallel. As shown in FIG. 4, each server utilizes a parallel muxer, 312 and 314, which can manage the various connections to ensure that the multiple threads do not interfere with, or block, one another. This further improves the use of the available bandwidth improving the efficiency of data transfers between servers.



FIG. 5 shows a flowchart of a method for providing scatter/gather I/O in accordance with an embodiment. At step 400, a cluster of one or more high performance computing systems is provided. Each high performance computing system can include one or more processors and a high performance memory. The cluster can communicate over an InfiniBand network. At step 402, a middleware environment, executing on the cluster, that includes one or more application server instances is provided. At step 404, a plurality of muxers are provided. Each application server instance includes at least one muxer. At step 406, a first muxer, on a first application server instance, collects data from a plurality of locations in the high performance memory. At step 408, the first muxer transfers the data in bulk to a second muxer on a second application server.


In accordance with an embodiment, the method shown in FIG. 4 can further include comprising managing, by each muxer, a plurality of threads transmitting data across a plurality of parallel channels. A user can configure how many parallel channels are included in the plurality of parallel channels. Additionally, as described above, each muxer can be a New I/O (NIO) muxer. Further, each data transfer can use scatter/gather data processing.


The present invention can be conveniently implemented using one or more conventional general purpose or specialized digital computer, computing device, machine, or microprocessor, including one or more processors, memory and/or non-transitory computer readable storage media programmed according to the teachings of the present disclosure. Appropriate software coding can readily be prepared by skilled programmers based on the teachings of the present disclosure, as will be apparent to those skilled in the software art.


In some embodiments, the present invention includes a computer program product which is a computer readable storage medium (media) having instructions stored thereon/in which can be used to program a computer to perform any of the processes of the present invention. The computer readable storage medium can include, but is not limited to, any type of disk including floppy disks, optical discs, DVD, CD-ROMs, microdrive, and magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or device suitable for storing instructions and/or data.


The foregoing description of the present invention has been provided for the purposes of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise forms disclosed. Many modifications and variations will be apparent to the practitioner skilled in the art. The embodiments were chosen and described in order to best explain the principles of the invention and its practical application, thereby enabling others skilled in the art to understand the invention for various embodiments and with various modifications that are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the following claims and their equivalence.

Claims
  • 1. A system for providing scatter/gather data processing, comprising: a plurality of microprocessors including a first microprocessor and a second microprocessor;a cluster of a plurality of application server instances executing on the plurality of microprocessors, wherein a first application server instance of the plurality of application server instances executes on the first microprocessor, and a second application server instance of the plurality of application server instances executes on the second microprocessor;wherein the first application server instance and the second application server instance communicate through a switch fabric network;wherein each application server instance includes a software muxer;a plurality of parallel logical channels between the first application server instance and the second application server instance, wherein each parallel logical channel is created based on a replication channel template configured on a cluster management bean, andwherein the number of the plurality of parallel logical channels is specified by an attribute in a server management bean;wherein the first microprocessor executes the software muxer on the first application server instance to obtain a plurality of pointers, wherein each pointer points to one or more of a plurality of pieces of data, wherein the plurality of pieces of data are stored in different locations in a memory allocated to the first application server instance,configure a plurality of threads to execute the plurality of parallel logical channels,collect the plurality of pieces of data from the different locations in the memory using the plurality of pointers, andtransfer, in a single bulk write and using a single context switch of the first microprocessor, the plurality of pieces of data collected using the plurality of pointers concurrently over the plurality of parallel logical channels from the first application server instance to the second application server instance.
  • 2. The system of claim 1 wherein each muxer is a New I/O (NIO) muxer.
  • 3. The system of claim 1, further comprising a utility function configured to determine whether the plurality of parallel logical channels have been configured, and cache a result of the determination for subsequent use.
  • 4. The system of claim 1, wherein the first application server instance, at a kernel level, operates to recognize an increased bandwidth and transfers the data without imposing a flow control.
  • 5. The system of claim 1, wherein the first muxer is a parallel muxer.
  • 6. The system of claim 1, wherein the plurality of pieces of data are related to one another.
  • 7. The system of claim 1, wherein the memory allocated to the first application server instance is a high performance memory.
  • 8. A method for providing scatter/gather data processing, comprising: configuring a cluster of a plurality of application server instances executing on a plurality of microprocessors including a first microprocessor and a second microprocessor, wherein each application server instance includes a software muxer, wherein a first application server instance of the plurality of application server instances executes on the first microprocessor, and a second application server instance of the plurality of application server instances executes on the second microprocessor;wherein the first application server instance and the second application server instance communicate through a switch fabric network;configuring a plurality of parallel logical channels between the first application server instance and the second application server instance, wherein each parallel logical channel is created based on a replication channel template configured on a cluster management bean, andwherein the number of the plurality of parallel logical channels is specified by an attribute in a server management bean;executing, by the first microprocessor the software muxer on the first application server instance to perform the steps comprising obtaining a plurality of pointers, wherein each pointer points to one or more of a plurality of pieces of data, wherein the plurality of pieces of data are stored in different locations in a memory allocated to the first application server instance,configuring a plurality of threads to execute the plurality of parallel logical channels,collecting the plurality of pieces of data from the different locations in the memory using the plurality of pointers,transferring, in a single bulk write and using a single context switch of the first microprocessor, the plurality of pieces of data collected using the plurality of pointers concurrently over the plurality of parallel logical channels from the first application server instance to the second application server instance.
  • 9. The system of claim 8 wherein each muxer is a New I/O (NIO) muxer.
  • 10. The method of claim 8, further comprising determining, via a utility function, whether the plurality of parallel logical channels have been configured, wherein a result of the determination is cached for subsequent use.
  • 11. The method of claim 8, wherein the first application server instance, at a kernel level, operates to recognize an increased bandwidth and transfers the data without imposing a flow control.
  • 12. The method of claim 8, wherein the first muxer is a parallel muxer.
  • 13. The method of claim 8, wherein the plurality of pieces of data are related to one another.
  • 14. The method of claim 8, wherein the memory allocated to the first application server instance is a high performance memory.
  • 15. A non-transitory computer readable storage medium including instructions stored thereon which, when executed by a computer, cause the computer to perform the steps comprising: configuring a cluster of a plurality of application server instances executing on a plurality of microprocessors including a first microprocessor and a second microprocessor, wherein each application server instance includes a software muxer, wherein a first application server instance of the plurality of application server instances executes on the first microprocessor, and a second application server instance of the plurality of application server instances executes on the second microprocessor;wherein the first application server instance and the second application server instance communicate through a switch fabric network;configuring a plurality of parallel logical channels between the first application server instance and the second application server instance, wherein each parallel logical channel is created based on a replication channel template configured on a cluster management bean, andwherein the number of the plurality of parallel logical channels is specified by an attribute in a server management bean;executing, by the first microprocessor the software muxer on the first application server instance to perform the steps comprising obtaining a plurality of pointers, wherein each pointer points to one or more of a plurality of pieces of data, wherein the plurality of pieces of data are stored in different locations in a memory allocated to the first application server instance,configuring a plurality of threads to execute the plurality of parallel logical channels,collecting the plurality of pieces of data from the different locations in the memory using the plurality of pointers,transferring, in a single bulk write and using a single context switch of the first microprocessor, the plurality of pieces of data collected using the plurality of pointers concurrently over the plurality of parallel logical channels from the first application server instance to the second application server instance.
  • 16. The non-transitory computer readable storage medium of claim 15 wherein each muxer is a New I/O (NIO) muxer.
  • 17. The non-transitory computer readable storage medium of claim 15, further comprising determining, via a utility function, whether the plurality of parallel logical channels have been configured, wherein a result of the determination is cached for subsequent use.
  • 18. The non-transitory computer readable storage medium of claim 15, wherein the first application server instance, at a kernel level, operates to recognize an increased bandwidth and transfers the data without imposing a flow control.
  • 19. The non-transitory computer readable storage medium of claim 15, wherein the first muxer is a parallel muxer.
  • 20. The non-transitory computer readable storage medium of claim 15, wherein the plurality of pieces of data are related to one another.
  • 21. The non-transitory computer readable storage medium of claim 15, wherein the memory allocated to the first application server instance is a high performance memory.
CLAIM OF PRIORITY

This application claims the benefit of priority to U.S. Provisional Patent Application titled “MIDDLEWARE MACHINE PLATFORM”, Application No. 61/383,285, filed Sep. 15, 2010; and U.S. Provisional Patent Application titled “MIDDLEWARE MACHINE PLATFORM”, Application No. 61/384,227, filed Sep. 17, 2010, each of which applications are herein incorporated by reference. This application is related to U.S. Patent Application titled “SYSTEM AND METHOD FOR ZERO BUFFER COPYING IN A MIDDLEWARE ENVIRONMENT”, application Ser. No. 13/109,849, filed May 17, 2011, now U.S. Pat. No. 8,856,460, issued Oct. 7, 2014; U.S. Patent Application titled “SYSTEM AND METHOD FOR PARALLEL MUXING BETWEEN SERVERS IN A CLUSTER”, application Ser. No. 13/109,871, filed May 17, 2011, now U.S. Pat. No. 8,756,329, issued Jun. 17, 2014; and U.S. Patent Application titled “SYSTEM AND METHOD FOR SUPPORTING LAZY DESERIALIZATION OF SESSION INFORMATION IN A SERVER CLUSTER”, application Ser. No. 13/167,636, filed Jun. 23, 2011, now U.S. Pat. No. 9,811,541, issued Nov. 7, 2017; each of which applications are herein incorporated by reference.

US Referenced Citations (100)
Number Name Date Kind
5109384 Tseung Apr 1992 A
5333274 Amini et al. Jul 1994 A
6192389 Ault Feb 2001 B1
6427161 LiVecchi Jul 2002 B1
6895590 Yadav May 2005 B2
6938085 Belkin et al. Aug 2005 B1
7394288 Agarwal Jul 2008 B1
7554993 Modi et al. Jun 2009 B2
7765307 Kritov Jul 2010 B1
7831731 Tang Nov 2010 B2
7991904 Melnyk et al. Aug 2011 B2
8130776 Sundararajan Mar 2012 B1
8131860 Wong et al. Mar 2012 B1
8578033 Mallart Nov 2013 B2
8601057 Han Dec 2013 B2
9454444 Agarwal Sep 2016 B1
20020097954 Maeno Jul 2002 A1
20020174136 Cameron et al. Nov 2002 A1
20030014480 Pullara et al. Jan 2003 A1
20030078958 Pace et al. Apr 2003 A1
20030088713 Mandal May 2003 A1
20030093499 Messinger May 2003 A1
20030110232 Chen Jun 2003 A1
20030120822 Langrind et al. Jun 2003 A1
20040122953 Kalmuk Jun 2004 A1
20040177126 Maine Sep 2004 A1
20040205771 Sudarshan et al. Oct 2004 A1
20040225671 Carroll Nov 2004 A1
20050021354 Brendle et al. Jan 2005 A1
20050027901 Simon et al. Feb 2005 A1
20050038801 Colrain et al. Feb 2005 A1
20050094577 Ashwood-Smith May 2005 A1
20050102412 Hirsimaki May 2005 A1
20050223109 Mamou et al. Oct 2005 A1
20050234986 Terek Oct 2005 A1
20050262215 Kirov et al. Nov 2005 A1
20060015600 Piper Jan 2006 A1
20060031846 Jacobs et al. Feb 2006 A1
20060143525 Kilian Jun 2006 A1
20060176884 Fair Aug 2006 A1
20060209899 Cucchi et al. Sep 2006 A1
20060248200 Stanev Nov 2006 A1
20060294417 Awasthi et al. Dec 2006 A1
20070058669 Hoffmann Mar 2007 A1
20070156869 Galchev Jul 2007 A1
20070157212 Berg Jul 2007 A1
20070162559 Biswas Jul 2007 A1
20070174660 Peddada Jul 2007 A1
20070174829 Brockmeyer Jul 2007 A1
20070198684 Mizushima Aug 2007 A1
20070203944 Batra et al. Aug 2007 A1
20070245005 Banerjee Oct 2007 A1
20080044141 Willis et al. Feb 2008 A1
20080098018 King Apr 2008 A1
20080098119 Jindall Apr 2008 A1
20080098458 Smith Apr 2008 A2
20080140844 Halpern Jun 2008 A1
20080163124 Bonev Jul 2008 A1
20080195664 Maharajh et al. Aug 2008 A1
20080286741 Call Nov 2008 A1
20080304423 Chuang Dec 2008 A1
20080316977 Malladi Dec 2008 A1
20090019158 Langen Jan 2009 A1
20090024764 Atherton et al. Jan 2009 A1
20090034537 Colrain et al. Feb 2009 A1
20090063734 Kurata Mar 2009 A1
20090103504 Inumaru Apr 2009 A1
20090150647 Mejdrich et al. Jun 2009 A1
20090172636 Griffith Jul 2009 A1
20090182642 Sundaresan Jul 2009 A1
20090327471 Astete et al. Dec 2009 A1
20100138208 Hattori Jun 2010 A1
20100138531 Kashyap Jun 2010 A1
20100198920 Wong et al. Aug 2010 A1
20100199259 Quinn Aug 2010 A1
20110016123 Pandey Jan 2011 A1
20110022694 Dalal et al. Jan 2011 A1
20110022882 Jaehde Jan 2011 A1
20110029812 Lu et al. Feb 2011 A1
20110047413 McGill et al. Feb 2011 A1
20110055510 Fritz et al. Mar 2011 A1
20110066737 Mallart Mar 2011 A1
20110071981 Ghosh et al. Mar 2011 A1
20110082832 Vadali et al. Apr 2011 A1
20110119673 Bloch May 2011 A1
20110161457 Sentinelli Jun 2011 A1
20110185021 Han Jul 2011 A1
20110228668 Pillai et al. Sep 2011 A1
20110246582 Dozsa Oct 2011 A1
20120023557 Bevan Jan 2012 A1
20120066400 Reynolds Mar 2012 A1
20120066460 Bihani Mar 2012 A1
20120131330 Tonsing May 2012 A1
20120144045 Revanuru Jun 2012 A1
20120203986 Strasser Aug 2012 A1
20120218891 Sundararajan Aug 2012 A1
20120239730 Revanuru Sep 2012 A1
20130004002 Duchscher Jan 2013 A1
20130014118 Jones Jan 2013 A1
20140059226 Messerli Feb 2014 A1
Foreign Referenced Citations (9)
Number Date Country
101159539 Apr 2008 CN
101408899 Apr 2009 CN
101661499 Mar 2010 CN
2492653 Jan 2013 GB
2000-339287 Dec 2000 JP
2003196229 Jul 2003 JP
2007-226398 Sep 2007 JP
2010128911 Jun 2010 JP
2006046972 May 2006 WO
Non-Patent Literature Citations (13)
Entry
Gregory F. Pister, High Performance Mass Storage and Parallel I/O, 2002, Chapter 42—An Introduction to the InfiniBand Architecture, IBM Enterprise Server Group, pp. 617-632.
National Instruments Corporation, What is Scatter-Gather DMA (Direct Memory Access)?, Jul. 22, 2010.
Informatica PowerChannel User Guide, Dec. 2012.
International Search Report dated Dec. 6, 2011, International Application No. PCT/US2011/051697 filed Sep. 15, 2011, 3 pages.
International Search Report dated Dec. 6, 2011, International Application No. PCT/US2011/051459 filed Sep. 13, 2011, 3 pages.
International Search Report and Written Opinion dated Dec. 6, 2011, International Application No. PCT/US2011/051697, 11 pgs.
International Search Report and Written Opinion dated Dec. 6, 2011, International Application No. PCT/US2011/051459, 9 pgs.
International Searching Authority at the European Patent Office, International Search Report Written Opinion for PCT International Patent Application PCT/US2013/067286, dated Feb. 5, 2014, 10 pages.
Baldwin, The ByteBuffer Class in Java, Aug. 20, 2002, 14 pages. Retrieved from: developer.com.
State Intellectual Property Office of the People's Republic of China Search Report dated Dec. 15, 2015 for Chinese Application No. 201180039809.X, 2 pages.
State Intellectual Property Office of the People's Republic of China Search Report dated Dec. 18, 2015 for Chinese Application No. 201180039804.7, 2 pages.
European Patent Office, Examining Division, Examination Report dated Nov. 16, 2016 for European Patent Application No. 13789928.2, 8 Pages.
European Patent Office, Substantive Examination Report dated May 29, 2017 for European Patent Application No. 13789928.2, 10 Pages.
Related Publications (1)
Number Date Country
20120066460 A1 Mar 2012 US
Provisional Applications (2)
Number Date Country
61383285 Sep 2010 US
61384227 Sep 2010 US