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Fault-tolerance in an event rule fra...
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Caituiro Monge, Hillary.
Fault-tolerance in an event rule framework for distributed systems.
紀錄類型:
書目-電子資源 : 單行本
正題名/作者:
Fault-tolerance in an event rule framework for distributed systems./
作者:
Caituiro Monge, Hillary.
面頁冊數:
129 p.
附註:
Source: Masters Abstracts International, Volume: 42-02, page: 0612.
Contained By:
Masters Abstracts International42-02.
標題:
Computer Science. -
電子資源:
Download fulltext (下載全文)
ISBN:
0496210696
Fault-tolerance in an event rule framework for distributed systems.
Caituiro Monge, Hillary.
Fault-tolerance in an event rule framework for distributed systems.
- 129 p.
Source: Masters Abstracts International, Volume: 42-02, page: 0612.
Thesis (M.S.)--University of Puerto Rico, Mayaguez (Puerto Rico), 2003.
In Distributed Systems (DSs) with Asynchronous, non-deterministic Reactive Components (ANDRCs), the timing assumptions are not valid and the output could be different, even if the same sequences of stimuli are input with the same initial state. In such systems, the availability and reliability are critical, so they must be fault tolerant and it can be achieved by replicating the ANDRCs. This research uses active replication with a middle-tier component that multicasts incoming-events to all replicas, and detects and suppresses duplicated outgoing-events that were posted by each replica; it also uses a semi-active replication approach where only one ("the leader") is able to post events, while the others listen to the leader to keep consistency, having each replica detecting/suppressing duplicated outgoing-events. The Event-Rule Framework (ERF), which is a framework for developing DSs with ANDRCs, was used as a test bed for this research. The performance analysis shows linear execution-time curves in all test scenarios. Therefore, proposed solutions were proven to be feasible, and their performance results were proven to be acceptable.
ISBN: 0496210696Subjects--Topical Terms:
1000005419
Computer Science.
Fault-tolerance in an event rule framework for distributed systems.
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