PDF-Complexity Oblivious Network Management

NetworkManagementisaMessIAdHocIComplexIErrorProneIExpensiveWorseningsituationasnetworkcomplexityincreasesI80ofITbudgetinenterprisesusedtomaintainstatusquoKerravala04ICongurationerrorsaccountfor. Moynihan Sergio Fernandez Soonhee Kim Kelly M LeRoux Suzanne J Piotrowski Bradley E Wright Kaifeng Yang University of WisconsinMadison Indiana UniversityBloomington Syracuse University University of Illinois Chicago Rutgers UniversityNewark Uni IT Total Care, Inc. is committed to providing dependable Computer Support to growing businesses. With Computer Support that is designed, created and implemented according to your unique business processes, you can get back to what you love – running your business. 2 A.T. Kearney 82/06.2009/20260 Complexity management is a top issue today.Why Complexity Management?Complexity has swung up drastically over the last few years and people are now having a really toug Xiao Shaun Wang, . Kartik . Nayak. , Chang Liu, T-H. Hubert Chan, Elaine Shi, Emil . Stefanov. , Yan Huang. 1. Emails. Photos. Videos. Financial data. Medical records. Genome data. ……. Sensitive Data in the Cloud. Management. . and . Software-Defined Networking (SDN). EE122 Fall . 2012. Scott Shenker. http://. inst.eecs.berkeley.edu. /~ee122/. Materials with thanks to Jennifer Rexford, Ion . Stoica. , Vern . Paxson. Collaborators: G. . Chiarotti. 1,2. , G. . . Cimini. 1,2, . M. Cristelli. 1,2. , R. . Di . Clemente. 1,2. ,. A. Gabrielli. 1,2,3. ,E. Pugliese. 1,2. , F. Saracco. 1,2. , F. . Sylos. Labini. 1,4. , T. Squartini. . Policy. problems in environment & . sustainability. Steve Dovers. Fenner. School of Environment & . Society. 21 May 2013. Complexity Dovers 2013. 2. Context & coverage. Many definitions of complexity, wicked problems . Theophilus Benson (tbenson@cs.wisc.edu). Aditya Akella (akella@cs.wisc.edu). David A Maltz (dmaltz@microsoft.com). Enterprise Networks. Intricate logical and physical topologies. Diverse network devices. By . Ehimare Philip Imobhio, . Sravya Kalapala and . Prasanth Gutti. . Introduction. . Communication Networks has greatly increased in size and complexity recently. Also, end users and service level requirements have become drastically more vast. This has made managing large-scale systems more difficult and it constantly on the increase. This project aim is to bring a lasting solution to this management complexity by managing current and future communication networks. We therefore are introducing Autonomic Network Management System.. Paul . Beame. University of Washington. Outline. Branching program basics. Space (size) lower bounds. Multi-output functions. Time-Space tradeoff lower bounds for general BPs. Single-output functions. ECE/CS 498AM. University of Illinois. Problem:. Software piracy. Oded. . Goldreich. :. Existing “solutions” are ad-hoc. What is the minimal protected hardware required?. Approach:. Physically-shielded (i.e., tamper-proof) CPU. Xiao Shaun Wang, . Kartik . Nayak. , Chang Liu, T-H. Hubert Chan, Elaine Shi, Emil . Stefanov. , Yan Huang. 1. Emails. Photos. Videos. Financial data. Medical records. Genome data. ……. Sensitive Data in the Cloud. with Applications to . Private Set Intersection. Vladimir Kolesnikov (Bell Labs), . Ranjit Kumaresan (MIT), . Mike Rosulek (Oregon State University). Ni Trieu . (Oregon State University). 1. Private Set Intersection (PSI). Guy E. Blelloch, Phillip B. Gibbons, Harsha Vardhan Simhadri. Slides by Endrias Kahssay. Why Parallel Cache Oblivious Algorithms? . Modern machines have multiple layers of cache – L1, L2, L3. . . Roughly 4 cycles, 10 cycles, and 40 cycles respectively. .