Self-adaptive and reconfigurable distributed computing systems
Self-adaptive and reconfigurable distributed computing systems
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DOI：
10.1016/j.asoc.2012.04.031
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发表时间：
2012-09
期刊：
影响因子：
--
通讯作者：
S. Bagchi
中科院分区：
文献类型：
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作者：
S. Bagchi
近年来，受生物启发的计算模型在计算领域的各个领域的应用因其一系列优势而受到关注。受生物启发的分布式计算范式提供了诸如计算系统的自我检测和自我重新配置能力等优点。大规模分布式系统存在节点任意失效和网络分区随时动态形成的问题。本文提出了一种新的膜算法，用于大型分布式系统在任意节点故障导致网络分区时的自检测和自重构。该算法分布于自然界，是基于生物膜计算模型和生物细胞信号传导机制的杂交而设计的。本文给出了该算法的问题定义、设计和分析。通过仿真对算法的性能进行了评价。对该算法与其他当代算法进行了详细的比较分析。
In recent time, the applications of biologically-inspired computing models into various domains of computing fields have gained attention due to a set of advantages. The bio-inspired distributed computing paradigm offers benefits such as, self-detection and self-reconfiguration capabilities of the computing systems. The large scale distributed systems suffer from the arbitrary failure of nodes and dynamic formation of network partitions at any point of time. This paper proposes a novel membrane algorithm for self-detection and self-reconfiguration of large distributed systems on the event of arbitrary node failures resulting in network partitioning. The algorithm is distributed in nature and, it is designed based on the hybridization of biological membrane computing model and cell-signaling mechanisms of biological cells. This paper presents the problem definition, design and analysis of the algorithm. The performance of the algorithm is evaluated through simulation. A detailed comparative analysis of the algorithm with respect to the other contemporary algorithms is presented.