PPT-the shared log approach to cloud-scale consistency

Mahesh Balakrishnan Microsoft Research VMware Research Collaborators Dahlia Malkhi Ted Wobber Vijayan Prabhakaran Phil Bernstein Ming Wu Michael Wei Dan Glick John D Davis Aviad. Service Level Agreements . for Cloud Storage. Douglas B. Terry, Vijayan Prabhakaran, Ramakrishna Kotla, Mahesh Balakrishnan, Marcos K. Aguilera, Hussam Abu-Libdeh. Microsoft Research. “A foolish consistency is the hobgoblin of little minds”. Sandeep. Hans. Agenda. Database Consistency Conditions. STM Consistency Conditions. A different perspective. Consistency with other STM properties.. Conclusion. Database Consistency Conditions. Recoverability. . Improving Consistency in the ESS: Target . Populations, . Frames, Reference . Periods, . Classifications and their Applications. Q2014, Vienna, 3rd June 2014. presented by Boris Lorenc. Content. Approaches to evaluating inconsistencies. 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. Mahesh Balakrishnan. , Dahlia Malkhi, Ted Wobber, Ming Wu, Vijayan Prabhakaran Michael Wei, John D. Davis, Sriram Rao, Tao Zou, . Aviad. . Zuck. Microsoft Research. big . meta. data. design pattern: distribute data, . Models. . Bhavana . Pallepati. . Client-Centric Consistency Models. The previously studied consistency models concern themselves with maintaining a consistent (globally accessible) data-store in the presence of concurrent read/write operations. MODIS Science Team Meeting. 19 May 2011 – College Park, MD. Bryan Franz. and the. NASA Ocean Biology . Processing Group. Outline. How we define a Climate Data Record. How we achieve CDR quality. Results of latest reprocessing effort. Chapter 7. Most of the lecture notes are based on slides by Prof. Jalal Y. Kawash at Univ. of Calgary. Some notes are based on slides by Prof. Kenneth Chiu at SUNY Binghamton. I have modified them and added new slides. Models. . Bhavana . Pallepati. . Client-Centric Consistency Models. The previously studied consistency models concern themselves with maintaining a consistent (globally accessible) data-store in the presence of concurrent read/write operations. Wenting . Wang. Le Xu. Indranil Gupta. Department of Computer Science, University of Illinois, Urbana Champaign . 1. Scale up VS. Scale out. A dilemma for cloud application users: scale up or scale out? . Wenting . Wang. Le Xu. Indranil Gupta. Department of Computer Science, University of Illinois, Urbana Champaign . 1. Scale up VS. Scale out. A dilemma for cloud application users: scale up or scale out? . Distributed Systems. Lecture . 16. Michael Freedman. 2. Linearizability. Eventual. Consistency models. Sequential. Causal. Lamport. clocks: C(a) < C(z) Conclusion: . None. Vector clocks: V(a) < V(z) Conclusion: . Topics: synchronization wrap-up, . need for sequential consistency, fences . 2. Load-Linked and Store Conditional. LL-SC is an implementation of atomic read-modify-write. with very high flexibility. Measuring and Understanding Consistency at Facebook. Haonan Lu*. †. ,. . Kaushik. . Veeraraghavan. †. ,. . Philippe . Ajoux. †. , . Jim . Hunt. †. , . Yee . Jiun. Song. †. , Wendy . Tobagus.