PPT-The Intra-domain BGP Scaling Problem

Danny McPherson dannyarbornet Shane Amante shanelevel3net Lixia Zhang lixiacsuclaedu 2 Agenda Objective main focus on intradomain outline issues with BGP scalability caused by network path explosion. Software Design II. Lecture . 10. Emily Navarro. Duplication of course material for any commercial purpose without the explicit written permission of the professor is prohibited.. 1. Portions of the slides in this lecture are adapted from http://. . Introduction. Problem. Complexity of embedded applications is escalating. Time to market is a primary concern. Thus, a software based approach is desired. a DSP platform coupled to microprocessor functionality. 2.INTRA-PERSONALSPACEMODELING2.1.Intra-PersonalSpace(IPS)Inthispaper,weareonlyinterestedintestingthegeneral-izationcapabilityofouralgorithm.Itisourhopethatthetrainingstagecanlearntheintrinsiccharacter . tamponade. for post-partum . hemorrhage. management. A . controlled. . randmised. trial in Vietnam . ?. Ho Chi Minh Ville, . April . 2013. Working. group. :. Vietnam: Dr To Van Trung. - France: Dr Alexandre Dumont. . Functional. . Characteristics. to . Analyze. . State. . Changes. . of. . Objects. Uldis. Donins, Janis . Osis,. Erika . Asnina and . Asnate. . Jansone. Riga. . Technical. . University. Baltic. http://datatracker.ietf.org/doc/draft-dunbar-armd-arp-nd-scaling-bcp/. Linda Dunbar: . ldunbar@huawei.com. Warren . Jumari. : . warren@kumari.net. Igor . Gashinsky. : . igor@yahoo-inc.com. BCP #1: L3 to Access (. Adapation. using Manifold Alignment. Chang Wang. , . Sridhar . mahadevan. Layout. Problem Introduction. Problem Definition. Who cares. Previous work & challenges. Contribution. A glance at methods. Chapter 2. Domain Understanding . & Requirements Elicitation. The scope of RE: . the . WHY. , . WHAT. , . WHO. dimensions. Objectives. WHY. . a new system?. WHAT. . services?. WHO. . will be responsible. Why do parallelism?. Speedup. . – solve a problem . faster. .. Accuracy . – solve a problem . better. .. Scaling. . – solve a . bigger . problem.. Problem 1: communication overhead. Parallel algorithms that employ distributed memory have a certain amount of . Project. CRITICAL. Peanuts Cartoon. What are the three types of people depicted in the following cartoon?. What Will Teachers Be Learning?. and. Joe Montecalvo. What Will Teachers Be Learning?. All questions/suggestions pls. address to riabtsev@yahoo.com. Overview. 33 angular predictions for both luma and chroma and two non-directional. predictions (DC, Planar).. PB sizes from 4×4 up to 64×64.. (including Community Ecology). Big fleas have little fleas. on their back to bite them, . and little fleas have lesser fleas. and so . ad infinitum. .. Swift 1733 (?). Photo of fiddler crabs from Gilbert (2000) . Osman . Sarood. How faster can we run?. Suppose we have this serial problem with 12 tasks. How fast can we run given 3 processors?. Running in parallel. Execution time reduces from 12 . secs. to 4 . Data Generation. for. Application-Specific Benchmarking. Background. benchmarks help . research . and development. --- . the dominant database benchmark is TPC. SIGMOD Conference 2011. research track: 87 papers, 17 use TPC (20%).