PPT-Reintroducing Consistency in Cloud Settings

Author : tatyana-admore | Published Date : 2015-11-13

Ken Birman Cornell University Massive Cloud Platforms Sept 24 2009 Cornell Dept of Computer Science Colloquium 2 and a Live Collaborative Web The realtime web

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Reintroducing Consistency in Cloud Settings: Transcript

Ken Birman Cornell University Massive Cloud Platforms Sept 24 2009 Cornell Dept of Computer Science Colloquium 2 and a Live Collaborative Web The realtime web Simple ways to. A Study of 3000+ Issues . in . Cloud Systems . Jeffry . Adityatama. , . Kurnia. J. . Eliazar. , . Agung. . Laksono. , Jeffrey F. . Lukman. , . Vincentius. Martin, and . Anang. D. . Satria. . Haryadi. Doug Terry. Microsoft Research Silicon Valley. … Explained through Baseball. Data Replication in the Cloud. Question. : What consistency choices should cloud storage systems offer applications?. Some Popular Systems. Sandeep. Hans. Agenda. Database Consistency Conditions. STM Consistency Conditions. A different perspective. Consistency with other STM properties.. Conclusion. Database Consistency Conditions. Recoverability. ECOOP 2012 Sebastian Burckhardt Manuel F Pay only when it matters. Tim . Kraska. , Martin . Hentschel. , Gustavo Alonso, Donald . Kossmann. 27.09.2009 Systems. Modified by . Raja . Amadala. - 08305078. Sandeep. N - 08305063. 1. 2. You own a Kiosk. Ken . Birman. , Cornell University. August 18/19, 2010. 1. Berkeley Workshop on Scalability. Today’s cloud systems exhibit visible inconsistencies!. Today, very few cloud applications need consistency in a strong, interactive, real-time sense of the term.. GLIMIR. Plenary Session: WorldCat Local Panel. Music OCLC Users Group Annual Meeting. San Jose, California. 2013 February 27. Jay Weitz. Senior Consulting Database Specialist. WorldCat Quality Management Division. Doug Terry. Microsoft Research Silicon Valley. … Explained through Baseball. Data Replication in the Cloud. Question. : What consistency choices should cloud storage systems offer applications?. Some Popular Systems. From Key-Value Stores to DBMSs. Raghu Ramakrishnan. Chief Scientist, Audience and Cloud Computing. Brian Cooper. Adam Silberstein. Utkarsh Srivastava. Yahoo! Research. Joint work with the Sherpa team in Cloud Computing. Ken . Birman. Professor, Dept. of Computer Science. Context. Today’s cloud computing platforms are best for building “apps” like YouTube, web search. Highly elastic, pipelined (“asynchronous”) services. Ken Birman. 1. CS5412 Spring 2012 (Cloud Computing: Birman). Lecture . VII. How are cloud structured?. CS5412 Spring 2012 (Cloud Computing: Birman). 2. Clients talk to clouds using web browsers or the web services standards. Prof. Dong Wang. CAP Theorem. Conjectured by Prof. Eric Brewer at . PODC (Principle of Distributed Computing) . 2000 keynote talk. Described the . trade-offs involved in distributed system. It is impossible for a web service to provide following . Cloud Design Patterns. Filip Zavoral. Cloud Design Patterns. Problem Areas. Availability. dosažení stanoveného poměru funkčnosti - SLA. Data management. d. ata. . jsou umístěna na různých lokacích. Agrawal. et al.. Oct 24, 2011. Framing. Survey paper. Identifies necessary qualities of cloud storage. Scalability. Sensible consistency / programming model. Scale-down and migration. Autonomic management.

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