Task allocation-based modified bacterial foraging algorithm for maximising reliability of a heterogeneous distributed system

Farid Abbache, Hamoudi Kalla
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引用次数: 1

Abstract

modified bacterial foraging algorithm for allocation and scheduling tasks on processors and links with high reliability is proposed (MBFA). MBFA ensure high reliability without redundancy of processors or links by using an efficient and simple structure. MBFA is improved by adding an efficient model to deal with the weak solution (i.e., allocation with low reliability). Also a simulated annealing technique is integrated into MBFA in order to strengthen the search of best solution. The efficiency and effectiveness of MBFA are tested using random generated problems. MBFA is tested over the published approaches HPSO and GAA using density parameter (DS), number of nodes (N) and the communication to computation ratio parameter (CCR). The results show the superiority of MBFA over the published approaches in all test cases.
基于任务分配的异构分布式系统可靠性最大化改进细菌觅食算法
提出了一种在高可靠性处理器和链路上分配和调度任务的改进细菌觅食算法(MBFA)。MBFA采用高效、简单的结构,保证了高可靠性,没有冗余的处理器和链路。通过增加一个有效模型来处理弱解(即低可靠性分配),对MBFA进行了改进。为了加强对最优解的搜索,在MBFA中引入了模拟退火技术。利用随机生成问题测试了MBFA的效率和有效性。MBFA采用密度参数(DS)、节点数(N)和通信计算比参数(CCR)在已有的HPSO和GAA方法上进行了测试。结果表明MBFA在所有测试用例中都优于已发表的方法。
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