PPT-A Consistency Framework for Iteration Operations in

Concurrent Data Structures Yiannis Nikolakopoulos A Gidenstam M Papatriantafilou P Tsigas Distributed Computing and Systems Chalmers University of Technology Gothenburg Sweden Outline . Sandeep. Hans. Agenda. Database Consistency Conditions. STM Consistency Conditions. A different perspective. Consistency with other STM properties.. Conclusion. Database Consistency Conditions. Recoverability. Topics. Why Replication?. System Model. Consistency Models . One approach to consistency management and dealing with failures. Readings. Van Steen and Tanenbaum: 6.1, 6.2 and 6.3, 6.4. Coulouris: 11,14. 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. 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. Frank Lin. 10-710 Structured Prediction. School of Computer Science. Carnegie Mellon . University. 2011-11-28. Talk Outline. Clustering. Spectral Clustering. Power Iteration Clustering (PIC). PIC with Path Folding. Microsoft Research, Redmond. Robust Abstractions for Replicated Shared State. Modern Applications:. Distributed System. Multiple users. Code. executes on everything . (. PC,tablet,phone,service. ) . simultaneously. Indranil Gupta. Associate Professor. Dept. of Computer Science, University of Illinois at Urbana-Champaign. Joint work with . Muntasir. . Raihan. . Rahman. , Lewis Tseng, Son Nguyen, . Nitin. . Vaidya. Systems. Memory Consistency. Prof. Chung-Ta King. Department of Computer Science. National Tsing Hua University, Taiwan. (Slides are from textbook, . Prof. . O. . Mutlu. , Prof. . S. . Adve. , Prof. K. . 1.3.2:. (a) . indexing. (d) SQL – Interpret and . Modify. (e) Referential integrity. (f) Transaction processing, ACID (Atomicity, Consistency, Isolation, Durability), record locking and redundancy.. Unified Land Operations: . How . the Army seizes, retains, and exploits the . initiative to . gain and maintain a position of relative advantage . in sustained . land operations through simultaneous offensive. Distributed Systems. Lecture 14. Michael Freedman. 2. Linearizability. Eventual. Consistency models. Sequential. Causal. Lamport. clocks: C(a) < C(z) Conclusion: . None. Vector clocks: V(a) < V(z) Conclusion: . 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. Replication Benefits. Replication enhances tolerance to failure. Performance can be improved in different ways. Placing replicas in the proximity of the process using them. Replicating servers and subsequently dividing the work among them.