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Efficiently tolerating failures in asynchronous real-time distributed systems
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DOI：10.1016/j.sysarc.2004.02.001.png)
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We present a proactive resource allocation algorithm, called BEA, for fault-tolerant asynchronous real-time distributed systems. BEA considers an application model where trans-node application timeliness requirements are expressed using benefit functions, and anticipated workload during future time intervals are expressed using adaptation functions. Furthermore, BEA considers an adaptation model where subtasks of application tasks are replicated at run-time for tolerating failures as well as for sharing workload increases. Given such models, the objective of the algorithm is to maximize the aggregate real-time benefit and the ability to tolerate host failures during the time window of adaptation functions. Since determining the optimal solution is computationally intractable, BEA heuristically computes suboptimal resource allocations in polynomial-time. We show that BEA can achieve almost the same fault-tolerance ability as full replication, and accrue most of real-time benefit that full replication can accrue. In the meanwhile, BEA requires much fewer replicas than full replication, and hence is cost effective. (C) 2004 Elsevier B.V. All rights reserved.
Keyword:
real-time parallel and distributed systems
resource allocation and management
fault-tolerance
real-time distributed algorithms
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Using application benefit for proactive resource allocation in asynchronous real-time distributed systems利用应用程序优势在异步实时分布式系统中进行主动资源分配
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