PPT-Data-Centric Reconfiguration with Network-Attached Disks

Alex Shraer Technion Joint work with JP Martin D Malkhi M K Aguilera MSR I Keidar Technion Preview 2 The setting datacentric replicated storage Simple networkattached storagenodes . . (Deuteronomy 7:6-11). • Statement of the special relationship God had with Israel (. v. . 6). . • The reason God “set His love” upon them (. v. . 7-8).. • Statement of His nature (. v. . 9-10). . D. Reininger. ECE 544 . Spring 2014. Introduction. Apart from routing protocols that use a direct identifier of nodes, networking can take place based directly on content.. Content can be collected from the network, processed in the network, and stored in the network. Group 9. {. Summary. User–centric vs. AP-centric network management framework. Theoretical analysis . & simulation. FCAPS relationships. Conclusion . References. User-Centric Management of Wireless LANs - Y. Zhu, Q. Ma, C. Bisdikian. . ARCHITECTURE. 1. Agenda. Introduction. Partial Reconfiguration Basics. Design Considerations. Advantages of Partial Reconfiguration. Challenges of Partial Reconfiguration. Application Examples. Ethan Taylor. Dept. of Administration and Finance. Coordinator of Budgets and Grants. What is The difference in a “school” and a “program”?. When does the . sde. need to know about changes for the upcoming year?. Zhanpeng Jin Allen C. Cheng. zhj6@pitt.edu. . acc33@pitt.edu. . ASPLOS 2010, The Wild and Crazy Session VIII. Artificial Neural Network. (Source: ". Anatomy and Physiology. Amitabha. Roy. Ivo . Mihailovic. Willy . Zwaenepoel. 1. Graphs. 2. + . HyperANF. Pagerank. ALS. ….. Interesting information is encoded as graphs. Big Graphs. Large graphs are a subset of the big data . Scheduling and . Placing in Reconfigurable Systems. Fabrizio. . Ferrandi. , . PierLuca. . Lanzi. , . Christian Pilato. , Donatella . Sciuto. Politecnico. di Milano – Dip. di . Elettronica. , . Informazione. Chris Morales. Kaz . Onishi. 1. Wireless Sensor Networks. Expected to be :. Autonomous. Low Power. Context aware. Flexible. Can have thousands of nodes spread out. Makes development and support complicated. Alex . Shraer. (. Technion. ). Joint work with: . J.P. Martin, D. Malkhi, M. K. Aguilera (MSR) . I. . Keidar. (. Technion. ). Preview. 2. The setting: . data-centric. replicated storage. Simple network-attached storage-nodes . P. roximity . T. echnology with fl. U. x pinning & . R. econfiguration . E. xperiments. CAPTURE:. David Bayard, Laura Jones, and Swati Mohan. Jet Propulsion Laboratory. California Institute of Technology. Two main types: Magnetic and Optical. Random access to memory. The hardware must be controlled by driver software called the “controller” in order to be used. Hard Disks, RAID, and Error Handling. Use multiple smaller disks (c.f. one large disk). Parallelism improves performance. Plus extra disk(s) for redundant data storage. Provides fault tolerant storage system. Especially if failed disks can be “hot swapped”. Section # . 7.3. :. . Evolved Addressing & . Forwarding. Instructor. : . George . Xylomenos. Department:. . Informatics. Funding. These educational materials have been developed as part of the instructors educational tasks.