Deploying commercial high performance network devices to construct a programmable AN platform
Supporting customizable network intelligences
Supporting excellent AN-specific research projects
Addressing AN and optical networking issues
Enabling Active Flow Manipulation In Silicon-based Network Forwarding EnginesTal Lavian Ph.D.
Great Active Nets Community Solutions:
Active networks (AN) approach opens an exciting opportunity for individual applications to define the service provided by the network through programmability.
Active Networks technologies expose a novel approach that allows customer value-added services to be introduced to the network “on-the-fly”.
Active Nets program has produced a new network platform flexible and extensible at runtime to accommodate the rapid evolution and deployment of network technologies.
The exciting opportunity exists for network service providers and third parties, not just the network device providers, to program the network infrastructure and services.
Carrier Grade OCP: Open Solutions for Telecom Data CentersRadisys Corporation
Check out this Radisys presentation given by Karl Wale, DCEngine Product Line Manager, at the DataCenter Dynamics Zettastructure 2016 event in London.
Learn how Carrier Grade OCP enables open solutions for telecom data centers. Radisys is able to complete deployment of DCEngine in data centers in a matter of weeks.
Heterogeneous computing is seen as a path forward to deliver the energy and performance improvements needed over the next decade. That way, heterogeneous systems feature GPUs (Graphics Processing Units) or FPGAs (Field Programmable Gate Arrays) that excel at accelerating complex tasks while consuming less energy. There are also heterogeneous architectures on-chip, like the processors developed for mobile devices (laptops, tablets and smartphones) comprised of multiple cores and a GPU.
This talk covers hardware and software aspects of this kind of heterogeneous architectures. Regarding the HW, we briefly discuss the underlying architecture of some heterogeneous chips composed of multicores+GPU and multicores+FPGA, delving into the differences between both kind of accelerators and how to measure the energy they consume. We also address the different solutions to get a coherent view of the memory shared between the cores and the GPU or between the cores and the FPGA.
Radisys' CTO, Andrew Alleman, was one of the featured speakers at the OCP Telco Engineering Workshop during the 2017 Big Communications Event. Andrew discussed carrier-grade open rack architecture (CG-OpenRack-19), the future of open hardware standards and commercial products in the OCP pipeline during his presentation.
Enabling Active Flow Manipulation In Silicon-based Network Forwarding EnginesTal Lavian Ph.D.
Great Active Nets Community Solutions:
Active networks (AN) approach opens an exciting opportunity for individual applications to define the service provided by the network through programmability.
Active Networks technologies expose a novel approach that allows customer value-added services to be introduced to the network “on-the-fly”.
Active Nets program has produced a new network platform flexible and extensible at runtime to accommodate the rapid evolution and deployment of network technologies.
The exciting opportunity exists for network service providers and third parties, not just the network device providers, to program the network infrastructure and services.
Carrier Grade OCP: Open Solutions for Telecom Data CentersRadisys Corporation
Check out this Radisys presentation given by Karl Wale, DCEngine Product Line Manager, at the DataCenter Dynamics Zettastructure 2016 event in London.
Learn how Carrier Grade OCP enables open solutions for telecom data centers. Radisys is able to complete deployment of DCEngine in data centers in a matter of weeks.
Heterogeneous computing is seen as a path forward to deliver the energy and performance improvements needed over the next decade. That way, heterogeneous systems feature GPUs (Graphics Processing Units) or FPGAs (Field Programmable Gate Arrays) that excel at accelerating complex tasks while consuming less energy. There are also heterogeneous architectures on-chip, like the processors developed for mobile devices (laptops, tablets and smartphones) comprised of multiple cores and a GPU.
This talk covers hardware and software aspects of this kind of heterogeneous architectures. Regarding the HW, we briefly discuss the underlying architecture of some heterogeneous chips composed of multicores+GPU and multicores+FPGA, delving into the differences between both kind of accelerators and how to measure the energy they consume. We also address the different solutions to get a coherent view of the memory shared between the cores and the GPU or between the cores and the FPGA.
Radisys' CTO, Andrew Alleman, was one of the featured speakers at the OCP Telco Engineering Workshop during the 2017 Big Communications Event. Andrew discussed carrier-grade open rack architecture (CG-OpenRack-19), the future of open hardware standards and commercial products in the OCP pipeline during his presentation.
The rapid growth of data requires advanced intelligence closer to the endpoints that are both generating and consuming data. To capture and accelerate this opportunity, the powerful data processing and analytics capabilities that have traditionally lived in the heart of the data center must be strategically placed closer-and-closer to the data generating and consuming endpoints, at the “edge.” This presentation will look at the opportunities facing the Edge ecosystem and show how Intel via its Intel Network Builders’ Network Edge Ecosystem program is helping the community capitalize on this opportunity and accelerate the deployment of Edge solutions.
Speaker: Orla Mooney, Team Lead, Network Edge Ecosystem program
Cloud native architecture is emerging for Telecom workloads. To support these emerging trends, Intel is targeting enhancements to the Dataplane Development Kit (DPDK). The enhancements would target network service mesh with dedicated sidecar accelerators and the mechanism to build the mesh dynamically.
Speaker: Gerald Rogers. Gerald Rogers is a Principal Engineer in the Network Products Group focused on virtual switching, network function virtualization and Data Plane Development Kit (DPDK). After joining Intel in 2005, Gerald has worked as a software engineer and architect in the embedded and networking groups. For the past 7 years Gerald has led the network virtual switching software and hardware acceleration effort to drive Intel architecture into the networking and telecommunications industry. Gerald holds a Bachelor’s degree in Electrical Engineering and a Master’s degree in Computer Science, and has 20 years of experience in the networking and telecommunications industry.
Zettar: Moving Massive Amounts of Data across Any Distance Efficientlyinside-BigData.com
In this video from the Rice Oil & Gas Conference, Chin Fang from Zettar presents: Moving Massive Amounts of Data across Any Distance Efficiently.
The objective of this talk is to present two on-going projects aiming at improving and ensuring highly efficient bulk transferring or streaming of massive amounts of data over digital connections across any distance. It examines the current state of the art, a few very common misconceptions, the differences among the three major type of data movement solutions, a current initiative attempting to improve the data movement efficiency from the ground up, and another multi-stage project that shows how to conduct long distance large scale data movement at speed and scale internationally. Both projects have real world motivations, e.g. the ambitious data transfer requirements of Linac Coherent Light Source II (LCLS-II) [1], a premier preparation project of the U.S. DOE Exascale Computing Initiative (ECI) [2]. Their immediate goals are described and explained, together with the solution used for each. Findings and early results are reported. Possible future works are outlined.
Watch the video: https://wp.me/p3RLHQ-lBX
Learn more: https://www.zettar.com/
and
https://rice2020oghpc.rice.edu/program-2/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Telecom Infra Project - Future Telco Software Stack - Keynote: Brian Bronson,...Radisys Corporation
Brian Bronson, CEO, addresses this innovative audience at the recent TIP Summit in Santa Clara. He gives examples of several TIP collaborations in process, such as the Unbundled RAN Architecture Project with SK Telecom.
CORD (Central Office Re-architected as a Datacenter) combines NFV, SDN, and the elasticity of commodity clouds to bring datacenter economics and cloud agility to the Telco Central Office.
This webinar will explore how Communication Service Providers (CSPs) are transforming their central offices using CORD. Specific topics addressed include CORD business and technical drivers,
CORD reference architecture configurations for mobile, fixed and enterprise evolution, and high-value use cases and service innovation models.
This webinar presents the unique requirements and challenges around delivering real-time IP media processing (such as transcoding, transrating, media mixing and media clip conversion) for delivering high performance telecommunication services such as real-time video communications, VoLTE, VoWiFi, and WebRTC.
Building efficient 5G NR base stations with Intel® Xeon® Scalable Processors Michelle Holley
Speaker: Daniel Towner, System Architect for Wireless Access, Intel Corporation
5G brings many new capabilities over 4G including higher bandwidths, lower latencies, and more efficient use of radio spectrum. However, these improvements require a large increase in computing power in the base station. Fortunately the Xeon Scalable Processor series (Skylake-SP) recently introduced by Intel has a new high-performance instruction set called Intel® Advanced Vector Extensions 512 (Intel® AVX-512) which is capable of delivering the compute needed to support the exciting new world of 5G.
In his talk Daniel will give an overview of the new capabilities of the Intel AVX-512 instruction set and show why they are so beneficial to supporting 5G efficiently. The most obvious difference is that Intel AVX-512 has double the compute performance of previous generations of instruction sets. Perhaps surprisingly though it is the addition of brand new instructions that can make the biggest improvements. The new instructions mean that software algorithms can become more efficient, thereby enabling even more effective use of the improvements in computing performance and leading to very high performance 5G NR software implementations.
Bringing Cloud Scale Efficiency to Communication Services Providers through R...Radisys Corporation
In this webinar, experts from Radisys and Intel will present the latest developments in applying Intel® RSD to SDN and NFV applications. Webinar participants will learn how the Radisys DCEngine™ hyperscale platforms, an implementation of Intel® RSD and inspired by Open Compute Project (OCP), can deliver the open software flexibility, DevOps deployment efficiencies, with carrier scalability for robust NFV deployments in emerging communication data center applications. The Webinar will include customer deployment examples, including Radisys DCEngine for open source software architectures, Central Office Re-architected as a Datacenter (CORD) projects, as well as Intel® RSD initiatives in telecom networking applications.
Vishnu Shukla of Verizon USA and the OIF Carrier Working Group Chair spoke at Globecom 2015 about the Verizon perspective towards SDN and how the OIF was working to support carrier needs to improve transport control through SDN.
Preparing to program Aurora at Exascale - Early experiences and future direct...inside-BigData.com
In this deck from IWOCL / SYCLcon 2020, Hal Finkel from Argonne National Laboratory presents: Preparing to program Aurora at Exascale - Early experiences and future directions.
"Argonne National Laboratory’s Leadership Computing Facility will be home to Aurora, our first exascale supercomputer. Aurora promises to take scientific computing to a whole new level, and scientists and engineers from many different fields will take advantage of Aurora’s unprecedented computational capabilities to push the boundaries of human knowledge. In addition, Aurora’s support for advanced machine-learning and big-data computations will enable scientific workflows incorporating these techniques along with traditional HPC algorithms. Programming the state-of-the-art hardware in Aurora will be accomplished using state-of-the-art programming models. Some of these models, such as OpenMP, are long-established in the HPC ecosystem. Other models, such as Intel’s oneAPI, based on SYCL, are relatively-new models constructed with the benefit of significant experience. Many applications will not use these models directly, but rather, will use C++ abstraction libraries such as Kokkos or RAJA. Python will also be a common entry point to high-performance capabilities. As we look toward the future, features in the C++ standard itself will become increasingly relevant for accessing the extreme parallelism of exascale platforms.
This presentation will summarize the experiences of our team as we prepare for Aurora, exploring how to port applications to Aurora’s architecture and programming models, and distilling the challenges and best practices we’ve developed to date. oneAPI/SYCL and OpenMP are both critical models in these efforts, and while the ecosystem for Aurora has yet to mature, we’ve already had a great deal of success. Importantly, we are not passive recipients of programming models developed by others. Our team works not only with vendor-provided compilers and tools, but also develops improved open-source LLVM-based technologies that feed both open-source and vendor-provided capabilities. In addition, we actively participate in the standardization of OpenMP, SYCL, and C++. To conclude, I’ll share our thoughts on how these models can best develop in the future to support exascale-class systems."
Watch the video: https://wp.me/p3RLHQ-lPT
Learn more: https://www.iwocl.org/iwocl-2020/conference-program/
and
https://www.anl.gov/topic/aurora
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Multilayer optimization deals with projected traffic demands of each type of service traffic, by constructing and analyzing different combinations for handling traffic across the transport layers to end up with a whole that is much less than the sum of the parts.
Moreover, when combined with centralized SDN control it promises to be a platform for innovative services that generate new revenue streams. While the payoffs are huge, SDN-controlled multilayer-optimized networks are not trivial.
There is a rocket science element to the underlying algorithms, and this increases in complexity when combined with real time control.
The presentation will discuss the motivations, benefits, and approaches, for SDN-controlled, multilayer optimized networks.
Development, test, and characterization of MEC platforms with Teranium and Dr...Michelle Holley
Mobile edge computing delivers cloud computing at the edge of the cellular network to drive services quality and innovation. The ability for CSPs and ISVs to effectively develop, deliver, and deploy MEC services on a given platform directly correlates with the availability and maturity of associated tools and test environment. Dronava is a hyper-connected, web-scale network reference design for the 5G mobile network, suitable for use as a test and development socket for cloud applications developed for MEC platforms with tools such as the Intel NEV SDK. With Dronava, developers can drive the application with real traffics from the network edge to the EPC core, and if need be, connect with services in the core network in order to fully characterize the functionalities, latency, and throughput of the platform and application.Teranium is an integrated development environment that simplifies the development, packaging, and deployment/management of cloud applications. Teranium can be utilized to develop and deploy MEC applications on a number of platforms. Together with Dronava, Teranium helps to reduce complexity and improve efficiency in the ability of CSPs and ISVs to adopt and deploy MEC-base services.
Deploying Hyperscale SDN and NFV in Next-Generation Data CentersRadisys Corporation
Check out this presentation that Radisys' Bryan Sadowski, VP, Product Management, presented at SDN & OpenFlow World Forum 2016 in The Hague, Netherlands. This presentation explores the carrier-grade integrated hardware and software SDN/NFV solution Radisys offers to deploy into next-generation data centers.
Enabling Active Flow Manipulation In Silicon-based Network Forwarding EnginesTal Lavian Ph.D.
Lack of industrial-strength Active Network devices that dispel major concerns:
AN requires substantial supports from a NOS
AN introduces substantial software component, hence delay on the data path
AN lacks adequate measures to addressing integrity and security of network devices.
Why Open Networking?
Open network boxes to public:
Current network devices are close systems
Intelligence to network nodes because:
Internet infrastructure evolves slow
Customers can not add new services
Better use of network resources
Abundant bandwidth
Diversified clients’ needs
The rapid growth of data requires advanced intelligence closer to the endpoints that are both generating and consuming data. To capture and accelerate this opportunity, the powerful data processing and analytics capabilities that have traditionally lived in the heart of the data center must be strategically placed closer-and-closer to the data generating and consuming endpoints, at the “edge.” This presentation will look at the opportunities facing the Edge ecosystem and show how Intel via its Intel Network Builders’ Network Edge Ecosystem program is helping the community capitalize on this opportunity and accelerate the deployment of Edge solutions.
Speaker: Orla Mooney, Team Lead, Network Edge Ecosystem program
Cloud native architecture is emerging for Telecom workloads. To support these emerging trends, Intel is targeting enhancements to the Dataplane Development Kit (DPDK). The enhancements would target network service mesh with dedicated sidecar accelerators and the mechanism to build the mesh dynamically.
Speaker: Gerald Rogers. Gerald Rogers is a Principal Engineer in the Network Products Group focused on virtual switching, network function virtualization and Data Plane Development Kit (DPDK). After joining Intel in 2005, Gerald has worked as a software engineer and architect in the embedded and networking groups. For the past 7 years Gerald has led the network virtual switching software and hardware acceleration effort to drive Intel architecture into the networking and telecommunications industry. Gerald holds a Bachelor’s degree in Electrical Engineering and a Master’s degree in Computer Science, and has 20 years of experience in the networking and telecommunications industry.
Zettar: Moving Massive Amounts of Data across Any Distance Efficientlyinside-BigData.com
In this video from the Rice Oil & Gas Conference, Chin Fang from Zettar presents: Moving Massive Amounts of Data across Any Distance Efficiently.
The objective of this talk is to present two on-going projects aiming at improving and ensuring highly efficient bulk transferring or streaming of massive amounts of data over digital connections across any distance. It examines the current state of the art, a few very common misconceptions, the differences among the three major type of data movement solutions, a current initiative attempting to improve the data movement efficiency from the ground up, and another multi-stage project that shows how to conduct long distance large scale data movement at speed and scale internationally. Both projects have real world motivations, e.g. the ambitious data transfer requirements of Linac Coherent Light Source II (LCLS-II) [1], a premier preparation project of the U.S. DOE Exascale Computing Initiative (ECI) [2]. Their immediate goals are described and explained, together with the solution used for each. Findings and early results are reported. Possible future works are outlined.
Watch the video: https://wp.me/p3RLHQ-lBX
Learn more: https://www.zettar.com/
and
https://rice2020oghpc.rice.edu/program-2/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Telecom Infra Project - Future Telco Software Stack - Keynote: Brian Bronson,...Radisys Corporation
Brian Bronson, CEO, addresses this innovative audience at the recent TIP Summit in Santa Clara. He gives examples of several TIP collaborations in process, such as the Unbundled RAN Architecture Project with SK Telecom.
CORD (Central Office Re-architected as a Datacenter) combines NFV, SDN, and the elasticity of commodity clouds to bring datacenter economics and cloud agility to the Telco Central Office.
This webinar will explore how Communication Service Providers (CSPs) are transforming their central offices using CORD. Specific topics addressed include CORD business and technical drivers,
CORD reference architecture configurations for mobile, fixed and enterprise evolution, and high-value use cases and service innovation models.
This webinar presents the unique requirements and challenges around delivering real-time IP media processing (such as transcoding, transrating, media mixing and media clip conversion) for delivering high performance telecommunication services such as real-time video communications, VoLTE, VoWiFi, and WebRTC.
Building efficient 5G NR base stations with Intel® Xeon® Scalable Processors Michelle Holley
Speaker: Daniel Towner, System Architect for Wireless Access, Intel Corporation
5G brings many new capabilities over 4G including higher bandwidths, lower latencies, and more efficient use of radio spectrum. However, these improvements require a large increase in computing power in the base station. Fortunately the Xeon Scalable Processor series (Skylake-SP) recently introduced by Intel has a new high-performance instruction set called Intel® Advanced Vector Extensions 512 (Intel® AVX-512) which is capable of delivering the compute needed to support the exciting new world of 5G.
In his talk Daniel will give an overview of the new capabilities of the Intel AVX-512 instruction set and show why they are so beneficial to supporting 5G efficiently. The most obvious difference is that Intel AVX-512 has double the compute performance of previous generations of instruction sets. Perhaps surprisingly though it is the addition of brand new instructions that can make the biggest improvements. The new instructions mean that software algorithms can become more efficient, thereby enabling even more effective use of the improvements in computing performance and leading to very high performance 5G NR software implementations.
Bringing Cloud Scale Efficiency to Communication Services Providers through R...Radisys Corporation
In this webinar, experts from Radisys and Intel will present the latest developments in applying Intel® RSD to SDN and NFV applications. Webinar participants will learn how the Radisys DCEngine™ hyperscale platforms, an implementation of Intel® RSD and inspired by Open Compute Project (OCP), can deliver the open software flexibility, DevOps deployment efficiencies, with carrier scalability for robust NFV deployments in emerging communication data center applications. The Webinar will include customer deployment examples, including Radisys DCEngine for open source software architectures, Central Office Re-architected as a Datacenter (CORD) projects, as well as Intel® RSD initiatives in telecom networking applications.
Vishnu Shukla of Verizon USA and the OIF Carrier Working Group Chair spoke at Globecom 2015 about the Verizon perspective towards SDN and how the OIF was working to support carrier needs to improve transport control through SDN.
Preparing to program Aurora at Exascale - Early experiences and future direct...inside-BigData.com
In this deck from IWOCL / SYCLcon 2020, Hal Finkel from Argonne National Laboratory presents: Preparing to program Aurora at Exascale - Early experiences and future directions.
"Argonne National Laboratory’s Leadership Computing Facility will be home to Aurora, our first exascale supercomputer. Aurora promises to take scientific computing to a whole new level, and scientists and engineers from many different fields will take advantage of Aurora’s unprecedented computational capabilities to push the boundaries of human knowledge. In addition, Aurora’s support for advanced machine-learning and big-data computations will enable scientific workflows incorporating these techniques along with traditional HPC algorithms. Programming the state-of-the-art hardware in Aurora will be accomplished using state-of-the-art programming models. Some of these models, such as OpenMP, are long-established in the HPC ecosystem. Other models, such as Intel’s oneAPI, based on SYCL, are relatively-new models constructed with the benefit of significant experience. Many applications will not use these models directly, but rather, will use C++ abstraction libraries such as Kokkos or RAJA. Python will also be a common entry point to high-performance capabilities. As we look toward the future, features in the C++ standard itself will become increasingly relevant for accessing the extreme parallelism of exascale platforms.
This presentation will summarize the experiences of our team as we prepare for Aurora, exploring how to port applications to Aurora’s architecture and programming models, and distilling the challenges and best practices we’ve developed to date. oneAPI/SYCL and OpenMP are both critical models in these efforts, and while the ecosystem for Aurora has yet to mature, we’ve already had a great deal of success. Importantly, we are not passive recipients of programming models developed by others. Our team works not only with vendor-provided compilers and tools, but also develops improved open-source LLVM-based technologies that feed both open-source and vendor-provided capabilities. In addition, we actively participate in the standardization of OpenMP, SYCL, and C++. To conclude, I’ll share our thoughts on how these models can best develop in the future to support exascale-class systems."
Watch the video: https://wp.me/p3RLHQ-lPT
Learn more: https://www.iwocl.org/iwocl-2020/conference-program/
and
https://www.anl.gov/topic/aurora
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Multilayer optimization deals with projected traffic demands of each type of service traffic, by constructing and analyzing different combinations for handling traffic across the transport layers to end up with a whole that is much less than the sum of the parts.
Moreover, when combined with centralized SDN control it promises to be a platform for innovative services that generate new revenue streams. While the payoffs are huge, SDN-controlled multilayer-optimized networks are not trivial.
There is a rocket science element to the underlying algorithms, and this increases in complexity when combined with real time control.
The presentation will discuss the motivations, benefits, and approaches, for SDN-controlled, multilayer optimized networks.
Development, test, and characterization of MEC platforms with Teranium and Dr...Michelle Holley
Mobile edge computing delivers cloud computing at the edge of the cellular network to drive services quality and innovation. The ability for CSPs and ISVs to effectively develop, deliver, and deploy MEC services on a given platform directly correlates with the availability and maturity of associated tools and test environment. Dronava is a hyper-connected, web-scale network reference design for the 5G mobile network, suitable for use as a test and development socket for cloud applications developed for MEC platforms with tools such as the Intel NEV SDK. With Dronava, developers can drive the application with real traffics from the network edge to the EPC core, and if need be, connect with services in the core network in order to fully characterize the functionalities, latency, and throughput of the platform and application.Teranium is an integrated development environment that simplifies the development, packaging, and deployment/management of cloud applications. Teranium can be utilized to develop and deploy MEC applications on a number of platforms. Together with Dronava, Teranium helps to reduce complexity and improve efficiency in the ability of CSPs and ISVs to adopt and deploy MEC-base services.
Deploying Hyperscale SDN and NFV in Next-Generation Data CentersRadisys Corporation
Check out this presentation that Radisys' Bryan Sadowski, VP, Product Management, presented at SDN & OpenFlow World Forum 2016 in The Hague, Netherlands. This presentation explores the carrier-grade integrated hardware and software SDN/NFV solution Radisys offers to deploy into next-generation data centers.
Enabling Active Flow Manipulation In Silicon-based Network Forwarding EnginesTal Lavian Ph.D.
Lack of industrial-strength Active Network devices that dispel major concerns:
AN requires substantial supports from a NOS
AN introduces substantial software component, hence delay on the data path
AN lacks adequate measures to addressing integrity and security of network devices.
Why Open Networking?
Open network boxes to public:
Current network devices are close systems
Intelligence to network nodes because:
Internet infrastructure evolves slow
Customers can not add new services
Better use of network resources
Abundant bandwidth
Diversified clients’ needs
Enabling Active Flow Manipulation In Silicon-based Network Forwarding Engines Tal Lavian Ph.D.
Active networks (AN) approach opens an exciting opportunity for individual applications to define the service provided by the network through programmability.
Active Networks technologies expose a novel approach that allows customer value-added services to be introduced to the network “on-the-fly”.
Active Nets program has produced a new network platform flexible and extensible at runtime to accommodate the rapid evolution and deployment of network technologies.
The exciting opportunity exists for network service providers and third parties, not just the network device providers, to program the network infrastructure and services.
Grid optical network service architecture for data intensive applicationsTal Lavian Ph.D.
Integrated SW System Provide the “Glue”
Dynamic optical network as a fundamental Grid service in data-intensive Grid application, to be scheduled, to be managed and coordinated to support collaborative operations
From Super-computer to Super-network
In the past, computer processors were the fastest part
peripheral bottlenecks
In the future optical networks will be the fastest part
Computer, processor, storage, visualization, and instrumentation - slower "peripherals”
eScience Cyber-infrastructure focuses on computation, storage, data, analysis, Work Flow.
The network is vital for better eScience
A Platform for Data Intensive Services Enabled by Next Generation Dynamic Opt...Tal Lavian Ph.D.
The new architecture is proposed for data intensive enabled by next generation dynamic optical networks
Offers a Lambda scheduling service over Lambda Grids
Supports both on-demand and scheduled data retrieval
Supports bulk data-transfer facilities using lambda-switched networks
Provides a generalized framework for high performance applications over next generation networks, not necessary optical end-to-end
Supports out-of-band tools for adaptive placement of data replicas
Why Open Networking?
Open network boxes to public
Current network devices are close systems
Intelligence to network nodes because
Internet infrastructure evolves slow
Customers can not add new services
Better use of network resources
Abundant bandwidth
Diversified clients’ needs
Enabling Active Flow Manipulation In Silicon-based Network Forwarding EnginesTal Lavian Ph.D.
A significant challenge in today’s Internet is the ability to efficiently incorporate customizable network intelligence in commercial high performance network devices.
Framework for introducing services
API for programming network devices
Impact of Grid Computing on Network Operators and HW VendorsTal Lavian Ph.D.
The “Network” is a Prime Resource for Large- Scale Distributed System.
Integrated SW System Provide the “Glue”
Dynamic optical network as a fundamental Grid service in data-intensive Grid application, to be scheduled, to be managed and coordinated to support collaborative operations
Edge Device Multi-unicasting for Video StreamingTal Lavian Ph.D.
Multicast data stream from a server to multiple clients at the application level.
Overlay network structure must be constructed at the application layer to connect participating end systems
Mechanisms for adapting the overlay structure are necessary to provide and maintain adequate level of QoS of the application
Yoid – generic structure for overaly networks for content distribution
Overcast – single-source multicast
End System Multicast – small-scale multicast for teleconference
ALMI – an ALM infrastructure for multi-sender multicast that scales to a large number of groups with small number of members
Edge devices form overlay structure
Edge devices can replicate and multi-unicast to multiple clients
Overcome bottleneck problem over access link
The realization of network softwarization, an overarching buzzword to encompass all software-centric developments from the Software-Defined Networking (SDN) and Network Function Virtualization (NFV) trends, is being enabled through a set of innovations in high-speed data plane design and implementation. Recent efforts include te-architecting the hardware-software interfaces and exposing programmatic interfaces (e.g., OpenFlow), programmable hardware-based pipelines (e.g. Protocol Independent Switch Architecture – PISA) along suitabe programming languages (e.g., P4), and multiple advances on low overhead virtualization and fast packet processing libraries (e.g. DPDK, FD.io) for Linux based general purpose processor platforms. This talk provides an overview of relevant ongoing work and discusses the trade-offs of each design and implementation choice of software-defined dataplanes regarding Programmability, Performance, and Portability.
A Platform for Data Intensive Services Enabled by Next Generation Dynamic Opt...Tal Lavian Ph.D.
The new architecture is proposed for data intensive enabled by next generation dynamic optical networks
Encapsulates “optical network resources” into a service framework to support dynamically provisioned and advanced data-intensive transport services
Provides a generalized framework for high performance applications over next generation networks, not necessary optical end-to-end
Supports both on-demand and scheduled data retrieval
Supports a meshed wavelength switched network capable of establishing an end-to-end lightpath in seconds
Supports bulk data-transfer facilities using lambda-switched networks
Supports out-of-band tools for adaptive placement of data replicas
Offers network resources as Grid services for Grid computing
Tech 2 tech low latency networking on Janet presentationJisc
This event took place on 27 October 2021.
In this Tech 2 Tech session, we considered questions such as:
- Which types of applications need low latency, and what are their specific requirements for both latency and jitter?
- What levels of latency might you expect across Janet?
- What can you do to optimise latency for your networked applications?
- How can we measure latency and jitter?
Similar to Active Nets Technology Transfer through High-Performance Network Devices (20)
A system for providing ultra low phase noise frequency synthesizers using Fractional-N PLL (Phase Lock Loop), Sampling Reference PLL and DDS (Direct Digital Synthesizer). Modern day advanced communication systems comprise frequency synthesizers that provide a frequency output signal to other parts of the transmitter and receiver so as to enable the system to operate at the set frequency band. The performance of the frequency synthesizer determines the performance of the communication link. Current days advanced communication systems comprises single loop Frequency synthesizers which are not completely able to provide lower phase deviations for errors (For 256 QAM the practical phase deviation for no errors is 0.4-0.5°) which would enable users to receive high data rate. This proposed system overcomes deficiencies of current generation state of the art communication systems by providing much lower level of phase deviation error which would result in much higher modulation schemes and high data rate.
A system for providing ultra low phase noise frequency synthesizers using Fractional-N PLL (Phase Lock Loop), Sampling Reference PLL and DDS (Direct Digital Synthesizer). Modern day advanced communication systems comprise frequency synthesizers that provide a frequency output signal to other parts of the transmitter and receiver so as to enable the system to operate at the set frequency band. The performance of the frequency synthesizer determines the performance of the communication link. Current days advanced communication systems comprises single loop Frequency synthesizers which are not completely able to provide lower phase deviations for errors (For 256 QAM the practical phase deviation for no errors is 0.4-0.5°) which would enable users to receive high data rate. This proposed system overcomes deficiencies of current generation state of the art communication systems by providing much lower level of phase deviation error which would result in much higher modulation schemes and high data rate.
Embodiments of the present invention present a method and apparatus for photonic line sharing for high-speed routers. Photonic switches receive high-speed optical data streams and produce the data streams to a router operating according to routing logic and produce optical data streams according to destination addresses stored in the data packets. Each photonic switch can be configured as one of a 1:N multiplexer or an M:N cross-connect switch. In one embodiment, optical data is converted to electrical data prior to routing, while an alternate embodiment routes only optical data. Another embodiment transfers large volumes of high-speed data through an optical bypass line in a circuit switched network to bypass the switch fabric thereby routing the data packets directly to the destination. An edge device selects one of the packet switched network or the circuit switched network. The bypass resources are released when the large volume of high-speed data is transferred.
Systems and methods to support sharing and exchanging in a networkTal Lavian Ph.D.
Embodiments of the invention provide for providing support for sharing and exchanging in a network. The system includes a memory coupled to a processor. The memory includes a database comprising information corresponding to first users and the second users. Each of the first users and the second users are facilitated for sharing or exchanging activity, service or product, based on one or more conditions corresponding thereto. Further, the memory includes one or more instructions executable by the processor to match each of the first users to at least one of the second users. Furthermore, the instructions may inform each of the first users about the match with the at least one of the second users when all the conditions are met by the at least one second user based on the information corresponding to each of the second users.
Systems and methods for visual presentation and selection of IVR menuTal Lavian Ph.D.
Embodiments of the invention provide a system for generating an Interactive Voice Response (IVR) database, the system comprising a processor and a memory coupled to the processor. The memory comprising a list of telephone numbers associated with one or more destinations implementing IVR menus, wherein the one or more destinations are grouped based on a plurality of categories of the IVR menus. Further the memory includes instructions executable by said processor for automatically communicating with the one of more destinations, and receiving at least one customization record from said at least one destination to store in the IVR database.
Various embodiments allow Grid applications to access resources shared in communication network domains. Grid Proxy Architecture for Network Resources (GPAN) bridges Grid services serving user applications and network services controlling network devices through proxy functions. At times, GPAN employs distributed network service peers (NSP) in network domains to discover, negotiate and allocate network resources for Grid applications. An elected master NSP is the unique Grid node that runs GPAN and represents the whole network to share network resources to Grids without Grid involvement of network devices. GPAN provides the Grid Proxy service (GPS) to interface with Grid services and applications, and the Grid Delegation service (GDS) to interface with network services to utilize network resources. In some cases, resource-based XML messaging can be employed for the GPAN proxy communication.
A system for providing ultra low phase noise frequency synthesizers using Fractional-N PLL (Phase Lock Loop), Sampling Reference PLL and DDS (Direct Digital Synthesizer). Modern day advanced communication systems comprise frequency synthesizers that provide a frequency output signal to other parts of the transmitter and receiver so as to enable the system to operate at the set frequency band. The performance of the frequency synthesizer determines the performance of the communication link. Current days advanced communication systems comprises single loop Frequency synthesizers which are not completely able to provide lower phase deviations for errors (For 256 QAM the practical phase deviation for no errors is 0.4-0.5°) which would enable users to receive high data rate. This proposed system overcomes deficiencies of current generation state of the art communication systems by providing much lower level of phase deviation error which would result in much higher modulation schemes and high data rate.
Systems and methods for electronic communicationsTal Lavian Ph.D.
Embodiments of the invention provide a system for enhancing user interaction with the Internet of Things. The system includes a processor, and a memory coupled to the processor. The memory includes a database having one or more options corresponding to each of the Internet of Things. The memory further includes instructions executable by the processor to share at least one of the one or more options with one or more users of the things. Further, the instructions receive information corresponding to selection of the at least one option by the one or more users. Additionally, the instructions update the database based on the selection of the at least one option by the one or more users. Further, a device for enhancing interaction with the things is also disclosed.
A system for providing ultra low phase noise frequency synthesizers using Fractional-N PLL (Phase Lock Loop), Sampling Reference PLL and DDS (Direct Digital Synthesizer). Modern day advanced communication systems comprise frequency synthesizers that provide a frequency output signal to other parts of the transmitter and receiver so as to enable the system to operate at the set frequency band. The performance of the frequency synthesizer determines the performance of the communication link. Current days advanced communication systems comprises single loop Frequency synthesizers which are not completely able to provide lower phase deviations for errors (For 256 QAM the practical phase deviation for no errors is 0.4-0.5°) which would enable users to receive high data rate. This proposed system overcomes deficiencies of current generation state of the art communication systems by providing much lower level of phase deviation error which would result in much higher modulation schemes and high data rate.
A system for providing ultra low phase noise frequency synthesizers using Fractional-N PLL (Phase Lock Loop), Sampling Reference PLL and DDS (Direct Digital Synthesizer). Modern day advanced communication systems comprise frequency synthesizers that provide a frequency output signal to other parts of the transmitter and receiver so as to enable the system to operate at the set frequency band. The performance of the frequency synthesizer determines the performance of the communication link. Current days advanced communication systems comprises single loop Frequency synthesizers which are not completely able to provide lower phase deviations for errors (For 256 QAM the practical phase deviation for no errors is 0.4-0.5°) which would enable users to receive high data rate. This proposed system overcomes deficiencies of current generation state of the art communication systems by providing much lower level of phase deviation error which would result in much higher modulation schemes and high data rate.
Radar target detection system for autonomous vehicles with ultra-low phase no...Tal Lavian Ph.D.
An object detection system for autonomous vehicle, comprising a radar unit and at least one ultra-low phase noise frequency synthesizer, is provided. The radar unit configured for detecting the presence and characteristics of one or more objects in various directions. The radar unit may include a transmitter for transmitting at least one radio signal; and a receiver for receiving the at least one radio signal returned from the one or more objects. The ultra-low phase noise frequency synthesizer may utilize Clocking device, Sampling Reference PLL, at least one fixed frequency divider, DDS and main PLL to reduce phase noise from the returned radio signal. This proposed system overcomes deficiencies of current generation state of the art Radar Systems by providing much lower level of phase noise which would result in improved performance of the radar system in terms of target detection, characterization etc. Further, a method for autonomous vehicle is also disclosed.
Various embodiments allow Grid applications to access resources shared in communication network domains. Grid Proxy Architecture for Network Resources (GPAN) bridges Grid services serving user applications and network services controlling network devices through proxy functions. At times, GPAN employs distributed network service peers (NSP) in network domains to discover, negotiate and allocate network resources for Grid applications. An elected master NSP is the unique Grid node that runs GPAN and represents the whole network to share network resources to Grids without Grid involvement of network devices. GPAN provides the Grid Proxy service (GPS) to interface with Grid services and applications, and the Grid Delegation service (GDS) to interface with network services to utilize network resources. In some cases, resource-based XML messaging can be employed for the GPAN proxy communication.
Method and apparatus for scheduling resources on a switched underlay networkTal Lavian Ph.D.
A method and apparatus for resource scheduling on a switched underlay network (18) enables coordination, scheduling, and scheduling optimization to take place taking into account the availability of the data and the network resources comprising the switched underlay network (18). Requested transfers may be fulfilled by assessing the requested transfer parameters, the availability of the network resources required to fulfill the request, the availability of the data to be transferred, the availability of sufficient storage resources to receive the data, and other potentially conflicting requested transfers. In one embodiment, the requests are under-constrained to enable transfer scheduling optimization to occur. The under-constrained nature of the requests enable transfer scheduling optimization to occur. The under-constrained nature of the requests enables requests to be scheduled taking into account factors such as transfer priority, transfer duration, the amount of time it has been since the transfer request was submitted, and many other factors.
Dynamic assignment of traffic classes to a priority queue in a packet forward...Tal Lavian Ph.D.
An apparatus and method for dynamic assignment of classes of traffic to a priority queue. Bandwidth consumption by one or more types of packet traffic received in the packet forwarding device is monitored to determine whether the bandwidth consumption exceeds a threshold. If the bandwidth consumption exceeds the threshold, assignment of at least one type of packet traffic of the one or more types of packet traffic is changed from a queue having a first priority to a queue having a second priority.
Method and apparatus for using a command design pattern to access and configu...Tal Lavian Ph.D.
An XML accessible network device is capable of performing functions in response to an XML encoded request transmitted over a network. It includes a network data transfer service, coupled to a network, that is capable of receiving XML encoded requests from a client also connected to the network. A service engine is capable of understanding and parsing the XML encoded requests according to a corresponding DTD. The service engine further instantiates a service using parameters provided in the XML encoded request and launches the service for execution on the network device in accordance with a command design parameter. A set of device APIs interacts with hardware and software on the network device for executing the requested service on the network device. If necessary, a response is further collected from the device and provided to the client in a response message.
Embodiments of the invention provide means to the users of the system to provide ratings and corresponding feedback for enhancing the genuineness in the ratings. The system includes a memory coupled to a processor. The memory includes one or more instructions executable by the processor to enable the users of the system to rate each other based on at least one of sharing, exchanging, and selling one of activity, service or product. The system may provide a mechanism to encourage genuineness in ratings provided by the users. Furthermore, the instructions facilitate the rating receivers to provide feedbacks corresponding to the received ratings. The feedback includes accepting or objecting to a particular rating. Moreover, the memory includes instructions executable by the processor to enable the system to determine genuineness of an objection raised by a rating receiver.
Embodiments of the present invention provide a system for enhancing reliability in computation of ratings provided by a user over a social network. The system comprises of a processor and a memory coupled to the processor. The memory further comprises a rater score database, a satisfaction database, a social network registration database, a user profile database, and a plurality of instruction executable by the processor. Said instructions in the memory are enabled to accept a message from at least one user wherein said message comprises a satisfaction score associated with at least one service provider and to retrieve a rater score associated with said at least one user from said rater score database. Further, the memory includes instructions in order to compute a new satisfaction score based on said rater score and said satisfaction score and update said satisfaction database to include said new satisfaction score. In a similar manner, the new satisfaction score can be computed based upon the information stored in the social network registration database and user profile database.
Systems and methods for visual presentation and selection of ivr menuTal Lavian Ph.D.
Embodiments of the invention provide a system for generating an Interactive Voice Response (IVR) database, the system comprising a processor and a memory coupled to the processor. The memory comprising a list of telephone numbers associated with one or more destinations implementing IVR menus, wherein the one or more destinations are grouped based on a plurality of categories of the IVR menus. Further the memory includes instructions executable by said processor for automatically communicating with the one of more destinations, and receiving at least one customization record from said at least one destination to store in the IVR database.
A system for providing ultra low phase noise frequency synthesizers using Fractional-N PLL (Phase Lock Loop), Sampling Reference PLL and DDS (Direct Digital Synthesizer). Modern day advanced communication systems comprise frequency synthesizers that provide a frequency output signal to other parts of the transmitter and receiver so as to enable the system to operate at the set frequency band. The performance of the frequency synthesizer determines the performance of the communication link. Current days advanced communication systems comprises single loop Frequency synthesizers which are not completely able to provide lower phase deviations for errors (For 256 QAM the practical phase deviation for no errors is 0.4-0.5°) which would enable users to receive high data rate. This proposed system overcomes deficiencies of current generation state of the art communication systems by providing much lower level of phase deviation error which would result in much higher modulation schemes and high data rate.
A system for providing ultra low phase noise frequency synthesizers using Fractional-N PLL (Phase Lock Loop), Sampling Reference PLL and DDS (Direct Digital Synthesizer). Modern day advanced communication systems comprise frequency synthesizers that provide a frequency output signal to other parts of the transmitter and receiver so as to enable the system to operate at the set frequency band. The performance of the frequency synthesizer determines the performance of the communication link. Current days advanced communication systems comprises single loop Frequency synthesizers which are not completely able to provide lower phase deviations for errors (For 256 QAM the practical phase deviation for no errors is 0.4-0.5°) which would enable users to receive high data rate. This proposed system overcomes deficiencies of current generation state of the art communication systems by providing much lower level of phase deviation error which would result in much higher modulation schemes and high data rate.
Active Nets Technology Transfer through High-Performance Network Devices
1. Active Nets Technology Transfer
through High-Performance Network
Devices
Dec. 3-5, 2001 1
Tal Lavian - tlavian@ieee.org
Nortel Networks
Advanced Technology Labs
Open Source - http://www.openetlab.org
DARPA AN PI Meeting
2. Dec. 3-5, 2001 2
Agenda
• Our Mission
• Technology Transfer
• Challenges and Solution
• Our Works
• New Targets
• Summary
DARPA AN PI Meeting
3. Our Mission
• Developing enabling mechanisms for the AN technology
transition and Knowledge transfer
• Finding good industry relevance research and
technologies and incorporating them into future
products
• Deploying commercial high performance network
devices to construct a programmable AN platform
Dec. 3-5, 2001 3
— Supporting customizable network intelligences
— Supporting excellent AN-specific research projects
— Addressing AN and optical networking issues
DARPA AN PI Meeting
4. • A major Carrier is interested in some aspects of the
research and technologies incubated by the AN
community
• The main value is to role out new services – and fast
• Unfortunately - the current market condition slowed
down the interest (great direction – but no money now)
Dec. 3-5, 2001 4
1st Expl: Collaboration with a Major
Carrier
DARPA AN PI Meeting
5. Dec. 3-5, 2001 5
2nd : AN Collaboration:
CeNTIE – CSRIO-Nortel
DARPA AN PI Meeting
Tele-Health Focus Group
• Royal Australian College of Surgeons
• Medic Vision
• University of Sydney
• NSW Health
• Royal Prince Alfred
• Interactive Virtual Environment Centre
(IVEC).
• Centre for Medical and Surgical Skills
(CTEC).
Media Systems Focus Group
• Fox Studios
• Animal Logic
• GMD
• Ambience
• Film Industry Broadband Resource
Enterprise (FIBRE)
• WAM!NET
• Australian Broadcasting Corporation (ABC)
• ScreenWest
Center for Networking Technologies for
Information Economy (CeNTIE) - a
CSIRO-led consortium including Nortel
Networks, Amcom Telecommunications,
the UNSW, UTS and the WA Interactive
Virtual Environments Centre (IVEC).
www.centie.net
6. State PPI Cluster
Rail ???
Dec. 3-5, 2001 6
CeNTIE in Sydney
Crows Nest
DARPA AN PI Meeting
CSIRO
Marsfield
UTS
ABC Ultimo
Australian
Technology
Park (AC3) Uni Syd UNSW
Fujitsu
CSIRO
Macquarie Uni
Fox
Studios
CSIRO
North Ryde
ABC Gore Hill
RNS
hospital
CSIRO
NML
PPI Cluster
EPPING
Station
Redfern
Station
ECTECH
Core CeNTIE Nodes
Core CeNTIE Network
Possible extensions
7. Challenge 1: IInnffiinniittee BBaannddwwiiddtthh
Why this change the playground?
• 3-4 orders of magnitudes bandwidth growth in many
dimensions
– Core – Optical bandwidth - (155mbps ® 1Tbps)
– LAN – (10mbps ® 10Gbps)
– Access – Cable, DSL, 3G – (28kbps®10mbps, 1.5mbps, 384kbps)
• Silicon Wire-speed routing
• How to benefit from these valuable resources? For
example: streaming media on the net?
Dec. 3-5, 2001 7
– Peer to Peer – driving bandwidth
– Streaming video, multicast, video is coming
– Web traffic will be minor (streaming is constant)
DARPA AN PI Meeting
8. Challenge 2: Programmable NNeettwwoorrkkiinngg
• The streaming media demand & the infinite
bandwidth drives the need for programmability and
dynamic services on the net
• Need programmability on commercial devices to
address this challenge since software based routers
cannot address it adequately.
• However, unlike Linux routers and software based
routers, software cannot be added to the data plane
Dec. 3-5, 2001 8
—Data plane : Wire speed silicon forwarding, multi Gigabit
—Control plane :
– Can’t see the data in wire speed.
– Can dynamically modify the silicon knobs
DARPA AN PI Meeting
9. Our Solution: PPrrooggrraammmmaabbllee
SSeerrvviicceess
• Service-enablement will prove most effective where
“impedance mismatches” occur in the network
Dec. 3-5, 2001 9
— Optical vs. Wireline (3-4 oom)
— Wireline vs. wire-less (3-4 oom)
— Secure vs. non-secure
— Customer-premises vs. Content-provider-land (3-4 oom)
— SLA (x) vs. SLA (y)
— Resource-constrained vs. unwashed unlimited computing
• A service-enabled box can wear multiple hat
DARPA AN PI Meeting
oom – Order of Magnitude
10. Dec. 3-5, 2001 10
DARPA AN PI Meeting
Our Works
• We have implemented programmable Gigabit Routing
Switch (backplane 256 Gbs)
• AN in the control plane (slows down in the data
plane)
• Capable of dynamic monitoring and modification of
silicon knobs
— The granularity is streams and not packets
— Short time granularity (part of apps and not human intervention,
keyboard, telnet, cli, snmp)
• Enabling New Types of intelligence on
programmable network device to handle Infinite
Bandwidth resources, Wire speed routing capability,
and nontrivial Streaming media application.
11. Forwarding
Rules
Dec. 3-5, 2001 11
Control Plane ORE
System Services
CPU System
Switching Fabric
Forwarding
Rules
DARPA AN PI Meeting
Data Plane
(Wire Speed Forwarding)
Active Services
Traffic Packets
Monitor status New rules
Openet
Forwarding
Rules
Forwarding
Processor
Statistics
&Monitors
Forwarding . . .
Processor
Statistics
&Monitors
Forwarding
Processor
Statistics
&Monitors
Active Networks
Services
12. • Openet on Passport IP routing switch
• ORE ANTS implementation on commercial devices
• Experiments
MIT ANTS MIT ANTS
Dec. 3-5, 2001 12
ANTS on Passport
Openet
(Passport Routing Switch)
ORE
ANTS
Download
codes
DARPA AN PI Meeting
Destination Host
(Sun Workstation 1)
HTTP server
(Linux PC)
Source Host
(Sun Workstation 2)
Intranet Intranet
10.120.101.50 10.120.101.51
Linux PC
(Ping use only)
Linux PC
(Ping use only)
APing
Ping
13. Dec. 3-5, 2001 13
Active Flow Manipulation
DARPA AN PI Meeting
Forwarding
Processor
Forwarding
Processor
Packet
Policy
Filters
AFM
Packet
Filte
r
Packet
Action
• A key enabling
technology of Openet
• Two abstractions
— Primitive flows
— Primitive actions
• Customer network
services exercise active
network control
— Identifying specific flows
— Apply actions to alter
network behavior in real-time
14. Dec. 3-5, 2001 14
DARPA AN PI Meeting
New Targets
• Limitations in our past works
— L2-L4 filtering
— limited embedded CPU workhorse
— Unsecured service deployment
• Exploring new commercial network hardware
— L2-L7 filtering
— Fast content filtering and redirection
— Strong and extensible CPU capability
— Secure partitioning hardware and software
— Supporting heterogeneous EEs
• New Active Net network platform
• Collaboration with UC Berkeley and University of
Technology, Sydney (UTS)
15. Target 1: Openet on a commercial
content switch
• Openet on Alteon
— L2-L7 filtering
— Fast content filtering and redirection to active services
— Enhancing and complementing Alteon features
• Alteon: Our new AN platform on content switch
Dec. 3-5, 2001 15
— Multiple processors and ASICs
— Programmable microcode
— L2-L4 and application filtering and processing
DARPA AN PI Meeting
16. Target 2: New Active Net Platform
• iSD: powerful and extensible computational plane
Dec. 3-5, 2001 16
— Partitioning hardware and software resources
— Securely supporting heterogeneous EEs
— Close interfaces to Alteon
— Cluster computations
• New Active Net Platform: 3 in 1
— Openet: active service enabling
— Alteon: content filtering in real-time
— iSD: active services accommodation
DARPA AN PI Meeting
iSD
L2-L7
filtering
Content
processing
Power
computing
OPE
Passport Alteon Optical
Local
Core
Openet –Active Services
17. Dec. 3-5, 2001 17
DARPA AN PI Meeting
Summary
• Openet – our Networking Programmability
• Commercial network programmable hardware
— Alteon: AN platform on an advanced content switch
— iSD: powerful & extensible computation plane
• New AN platform: Openet + Alteon + iSD
• Enables AN technologies transfer
• Need to wait for better economy
Editor's Notes
Tele-Health user information:
Medic Vision – an Australian organisation that commercializes Tele-Health applications (e.g. robotics)
University of Sydney: Chris Liddle (Doctorate of Pharmecology). Interest lies in Information Technology as it applies to health initiatives.
NSW Health: Representation from the group involved with Tele-health initiatives.
Royal Prince Alfred:
IVEC: organisations including CSIRO, University of Western Australia, Curtin University of Technology, Central TAFE.
Media Systems Information about user groups
Animal Logic: film Industry adds special effects.
GMD
Ambience:
FIBRE:
WAM!NET:
ABC
ScreenWest: constorium of companies based in Western Australia that work on film industry related activities.