Arista 7500 - Sets New Standard for 10 Gigabit Ethernet Networki MENLO PARK, Calif., April 19, 2010 – Arista Networks today introduced the Arista 7500, a revolutionary switching platform for maximizing data center performance, efficiency, and overall network reliability. The Arista 7500 is the highest performance and most power efficient 10 Gigabit Ethernet (10GbE) switching platform available. It was specifically designed to address the most demanding customer requirements for cloud computing, virtualization, and mission-critical data centers. The Arista 7500 has 10 terabits per second of switching capacity and 384 wirespeed L2/L3 10GbE ports in only eleven rack-units. "Cloud Networking requires a new class of scale, price/performance, and resilience previously not addressed with existing modular switches,” emphasized Jayshree Ullal, president and chief executive officer of Arista Networks. Arista’s First and Flagship Modular Switch The Arista 7500 runs EOS, Arista’s Extensible Operating System. State of the Art Design for Modern Data Centers
MQX™ Design and Development Tools The Freescale MQX Software Solutions offer tight integration with many popular Integrated Development Environments (IDE) and tool chains. Ready-to-run project files and project stationery are available enabling developers to quickly create their own Freescale MQX-based and Real-time TCP/IP Communication Suite (RTCS)-based applications. Supported Design and Development Tools Task-Aware Debugging Task-Aware Debugging is an advanced kernel analysis tool that allows developers to gain greater visibility into their embedded system. Developers can obtain detailed data about system performance enabling optimization work that can reduce potential performance bottlenecks in their embedded application. Freescale MQX RTOS Task-Aware Debugging features stack utilization, CPU utilization, resource status (memory, messages, semaphores, etc), and TCP/IP socket information, among other features. MKTFS Tool Benchmark Tools BSP Cloning Wizard
Disney, Verizon go green in the data center Network World - Energy efficiency in the data center is a top priority for Disney and Verizon, technology executives from the companies said last week. But the industry is still in the early stages of understanding how best to measure effectiveness, they said. Disney has a companywide goal to reduce electricity consumption by 10% between 2006 and 2013, and the data center has to play a big role in achieving that objective, says Denis Weber, director of IT critical facilities infrastructure for the Walt Disney Co. Five tools to prevent energy waste in the data center For Disney, energy efficiency is being achieved through a series of small improvements, Weber said in an interview with Network World. "Some of it just comes down to cleaning the facility up," Weber says. Disney and Verizon officials discussed their energy efficiency programs at the New York Stock Exchange last week during an event hosted by the Green Grid industry consortium. "Are you trying to make it cooler or hotter?
QEMU Perspectives QNX digital instrument cluster -- sneak preview - YouTube D. E. Shaw Research Model-driven engineering Overview The MDE approach is meant to increase productivity by maximizing compatibility between systems (via reuse of standardized models), simplifying the process of design (via models of recurring design patterns in the application domain), and promoting communication between individuals and teams working on the system (via a standardization of the terminology and the best practices used in the application domain). A modeling paradigm for MDE is considered effective if its models make sense from the point of view of a user that is familiar with the domain, and if they can serve as a basis for implementing systems. The models are developed through extensive communication among product managers, designers, developers and users of the application domain. As the models approach completion, they enable the development of software and systems. Some of the better known MDE initiatives are: History According to Douglas C. Tools See also References Further reading
Cyriel Minkenberg - Publications Towards low-cost high-performance all-optical interconnection networks . N Chrysos, C Minkenberg , J Hofrichter, F Horst, B J Offrein, High Performance Switching and Routing (HPSR), 2010 International Conference on . End-to-end congestion management for non-blocking multi-stage switching fabrics . N Chrysos, L Y Chen , C Minkenberg , C Kachris, M Katevenis, Proceedings of the 6th ACM/IEEE Symposium on Architectures for Networking and Communications Systems , 2010. Interconnecting network for switching data packets and method for switching data packets . Method and a system for flow control in a communication network . Digital all-optical signal processing using microdisc lasers . Adaptive Routing in Data Center Bridges . Adaptive routing for convergence enhanced Ethernet . Delay-based cloud congestion control . Benchmarking the Ethernet-federated datacenter . Oblivious routing schemes in extended generalized fat tree networks . Congestion management for 10G Ethernet .
Yocto Project | Open Source embedded Linux build system, package metadata and SDK generator. Mitch Gusat - Publications Cross-layer flow and congestion control for datacenter networks . A S Anghel, R Birke, D Crisan, M Gusat , Proceedings of the 3rd Workshop on Data Center-Converged and Virtual Ethernet Switching , 2011. Short and Fat: TCP Performance in CEE Datacenter Networks . D Crisan, A S Anghel, R Birke, C Minkenberg , M Gusat , High Performance Interconnects (HOTI), 2011 IEEE 19th Annual Symposium on . System and method for enabling management of a plurality of messages in a communication network . M Gusat , W E Denzel , A P Engbersen, US Patent 7,961,605. Method and a system for flow control in a communication network . Design and performance of speculative flow control for high-radix datacenter interconnect switches . Adaptive routing for convergence enhanced Ethernet . END TO END NETWORK CONGESTION MANAGEMENT SOLUTION FOR STORAGE . Delay-based cloud congestion control . Adaptive Routing in Data Center Bridges . Benchmarking the Ethernet-federated datacenter . User-aware video display . Others