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Ever-increasing big data forces enterprises to migrate data to cloud storage systems. Data retrieval time from the cloud will directly affect the overall application performance. Meanwhile, sensitive data stored on cloud necessitates a robust security arrangement against cyberattacks. Therefore, it is imperative that both data retrieval time and data security should be taken into account simultaneously...
The scheduling for divisible load in heterogeneous distributed system is a well known NP-hard problem. The problem is even more complex and challenging when its model has more than one objective, The difficulty is to satisfy multiple objectives that may be of conflicting nature. This paper investigates a multi-objective scheduling problem for divisible load in heterogeneous distributed systems. First,...
Wide study and application exposes some problems of evolutionary algorithms such as premature convergence and poor performance in convergence. In order to overcome these issues, this paper proposes an adaptive co-evolutionary algorithm based on genotypic diversity measure, where adaptive selection, mutation and substitution operators are designed to realize cooperative search among operators and dynamic...
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