PPT-Scalable

Consistent and Elastic Database Systems for Cloud Platforms Sudipto Das Computer Science UC Santa Barbara sudiptocsucsbedu Sponsors Web replacing Desktop Sudipto Das sudiptocsucsbedu. Clements M Frans Kaashoek Nickolai Zeldovich Robert T Morris and Eddie Kohler MIT CSAIL and Harvard University Abstract What fundamental opportunities for scalability are latent in interfaces such as system call APIs Can scalability opportunities b ADVANTAGES SCALABLE:Cost effective monitoring from tens to tens of thousands of servers and devices. EXTENSIBLE:Architected to integrate with the rest of your data center, as it amalgamates best-of-br Sylvia . Ratnasamy. , Paul Francis, Mark Handley, Richard Karp, and Scott . Shenker. . 2001. Presented by: Ilya Mirsky, Alex Gorohovski. Outline. Introduction. Basic Design. Advanced Architecture. Applications & Citations. MapReduce. Karim Ibrahim. Anh Pham. 1. Outline. Motivation & Introduction. Benchmarking . study. Optimizing . Hadoop. Motivation. 3. Motivation (. cont. ’). Motivation. :. MapReduce. model is not well suited for one pass analytics.. Commutativity. Rule: Designing Scalable Software for Multicore Processors. Austin T. Clements, M. . Frans. . Kaashoek. , . Nickolai. . Zeldovich. , Robert T. Morris, and Eddie Kohler. MIT CSAIL and Harvard University. Processors. Presented by . Remzi. Can . Aksoy. *Some slides . are. . borrowed from a ‘Papers We Love’ . Presentation. EECS 582 – F16. 1. Outline. The . Scalable Commutativity Rule: . Whenever interface operations commute, they can be implemented in a way that scales. Jungwook Choi and Rob . A. . Rutenbar. Belief . Propagation . FPGA for . Computer Vision. Variety . of pixel-labeling apps in CV are mapped to probabilistic graphical model, effectively solved by . BP. Luis . Herranz. Arribas. Supervisor: Dr. José M. Martínez Sánchez. Video Processing and Understanding Lab. Universidad . Aut. ónoma. de Madrid. Outline. Introduction. Integrated. . summarization. Rosemount 3051SMV. Rosemount 3051SMV Built On Commitment To Exceed Customer Expectations. Strong History of Customer Recognition. Rosemount products enable unparalleled safety and efficiency in your processes because they are. Larry Peterson. In collaboration with . Arizona. , Akamai. ,. . Internet2. , NSF. , North Carolina, . Open Networking Lab, Princeton. (and several pilot sites). S3. DropBox. GenBank. iPlant. Data Management Challenge. A PROJECT UNDER THE GUIDANCE OF DR. K. R. RAO COURSE: EE5359 - MULTIMEDIA PROCESSING, SPRING 2015. Submitted . By. :. Aanal. Desai. UT ARLINGTON ID: 1001103728. EMAIL ID: aanal.desai@mavs.uta.edu. DEPARTMENT OF ELECTRICAL ENGINEERING UNIVERSITY OF TEXAS, ARLINGTON. … but is . your. business ready to go there?. . Intelligent automation. Integrated security. Scalable business architecture. “We’re happy with the servers we've got.”. Today, maybe. What about tomorrow? . Cities. Prof.Dr. . Levent Guvenc, . Prof.Dr. . Bilin Aksun Guvenc (The Ohio State University) Randall Bowman (City of Columbus). SHORT DESCRIPTION. The . City . of Columbus . was . recently named as . COS 418: Distributed Systems. Lecture . 14. Wyatt Lloyd. Consistency Hierarchy. Linearizability. Sequential Consistency. Causal+ Consistency. Eventual Consistency. e.g., RAFT. e.g., Bayou. e.g., Dynamo.