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RAID: a robust and adaptable distributed system

Published: 08 September 1986 Publication History

Abstract

There is a need to design distributed systems that are not rigid in their choice of algorithms and that are responsive to faults/failures and performance degradation. To meet this challenge, we formalize and experiment with design principles that allow the implementation of an adaptable distributed system. The strategies for dynamic reconfiguration of the subsystems and determining their impact are being studied via experiments on a prototype system called RAID under development at Purdue University. RAID provides system level support for transaction management in a reliable manner. Other transaction based systems are TABS [SBD*85], ARGUS [LS83], and System R* [LHM*84].The key contribution of RAID is the system level support provided for building transaction based applications. RAID provides support for atomic objects and atomic commitment across a set of sites. It also includes concurrency control mechanisms based on time-stamps that provide a variety of choices of methods spanning from two-phase locking to optimistic methods utilizing the semantics of transactions and the objects accessed by them. In addition RAID has site failure and network partition control algorithms integrated with the rest of concurrent transaction processing and a replicated copy control subsystem.

References

[1]
Bharat Bhargava and John Riedl. The design of an adaptable distributed system. In Proceedings of IEEE COMPSAC 86, October 1986. To appear.
[2]
Bharat Bhargavs and John Riedl. A Model for Adaptable Concurrency Control. Technical Report CSD-TR-609, Purdue University, June 1986.
[3]
Bharat Bhargava and Zuwang Ruan. Site recovery in replicated distributed database systems. In Proceedings of the Sizth IEEE Intl. Conf. on Distributed Computing Systems, May 1986.
[4]
Bruce G. Lindsay, Laura NL Haas, C. Mohan, Paul F. Wilm, and Robert A. Yost. Computation and communication in R*: a distributed database manager. A CM Transactions on Computer Systems, 2(1), February 1984.
[5]
Barbara Liskov and R. Scheifler. Guardians and actions: lingustic support for distributed programs. ACM Transactions on Programming Languages and Systems, 5(3):381-404, July 1983.
[6]
Alfred Z. Spector, Jacob Butcher, Dean S. Daniels, Daniel J. Duchchamp, Jeffrey L. Eppinger, Charles E. Fineman, Abdelsalam Heddaya, and Peter M. Schwarz. Support for distributed transactions in the TABS prototype. IEEE Transactions on Software Engineering, SE-11(6), June 1985.
[7]
M. Stonebraker. Operating system support for database management. Communications of the ACM, 24(7):412-418, July 1981.

Cited By

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  • (2014)Adaptive Epidemic Dynamics in NetworksACM Transactions on Autonomous and Adaptive Systems10.1145/25556138:4(1-19)Online publication date: 1-Jan-2014

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cover image ACM Conferences
EW 2: Proceedings of the 2nd workshop on Making distributed systems work
September 1986
176 pages
ISBN:9781450373357
DOI:10.1145/503956
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 08 September 1986

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  • (2014)Adaptive Epidemic Dynamics in NetworksACM Transactions on Autonomous and Adaptive Systems10.1145/25556138:4(1-19)Online publication date: 1-Jan-2014

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