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21st IEEE International Conference on Distributed Computing Systems (ICDCS'01)
Shared State Consistency for Time-Sensitive Distributed Applications
Mesa, AZ
April 16-April 19
ISBN: 0-7695-1077-9
| ASCII Text | x | ||
| Vijaykumar Krishnaswamy, Mustaque Ahamad, Michel Raynal, David Bakken, "Shared State Consistency for Time-Sensitive Distributed Applications," 2012 IEEE 32nd International Conference on Distributed Computing Systems, pp. 0606, 21st IEEE International Conference on Distributed Computing Systems (ICDCS'01), 2001. | |||
| BibTex | x | ||
| @article{ 10.1109/ICDSC.2001.918991, author = {Vijaykumar Krishnaswamy and Mustaque Ahamad and Michel Raynal and David Bakken}, title = {Shared State Consistency for Time-Sensitive Distributed Applications}, journal ={2012 IEEE 32nd International Conference on Distributed Computing Systems}, volume = {0}, year = {2001}, isbn = {0-7695-1077-9}, pages = {0606}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDSC.2001.918991}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 IEEE 32nd International Conference on Distributed Computing Systems TI - Shared State Consistency for Time-Sensitive Distributed Applications SN - 0-7695-1077-9 SP EP A1 - Vijaykumar Krishnaswamy, A1 - Mustaque Ahamad, A1 - Michel Raynal, A1 - David Bakken, PY - 2001 KW - Consistency model. Consistency protocol KW - Timeliness KW - Ordering KW - Caching. VL - 0 JA - 2012 IEEE 32nd International Conference on Distributed Computing Systems ER - | |||
Abstract: Distributed applications that share dynamically changing state are increasingly being deployed in wide-area environments. Such applications must access the state in a consistent manner; but the consistency requirements vary significantly from other systems. For example, shared memory models such as sequential consistency focus on the ordering of operations and same level of consistency is provided to each process. In interactive distributed applications, the timeliness of updates becoming effective could be an extremely important consistency requirement and it could be different across different users. We propose a system that provides both non-timed and time sensitive read and write operations for dynamic shared state. For example. a timed read can be used by a process to read a recently written value whereas a timed write can make a new value available to all readers within a certain amount of time. We develop a consistency model that precisely defines the semantics of timed and non-timed read and write operations. A protocol that implements this model is also presented. We also describe an implementation and some performance measurements.
Index Terms:
Consistency model. Consistency protocol, Timeliness, Ordering, Caching.
Citation:
Vijaykumar Krishnaswamy, Mustaque Ahamad, Michel Raynal, David Bakken, "Shared State Consistency for Time-Sensitive Distributed Applications," icdcs, pp.0606, 21st IEEE International Conference on Distributed Computing Systems (ICDCS'01), 2001
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