A Hybrid Heuristic Scheduling Algorithm in Cloud Computing
نویسندگان
چکیده
In cloud computing tasks scheduling problem is NP-hard, furthermore it does onerous for attaining an optimum resolution. Extremely quick optimization algorithms are used to proximate the optimum resolution, like ACO (ant colony optimization) algorithm. In cloud computing, in consideration to solve the problem of task scheduling, a period ACO (PACO)-based arranging algorithmic rule has been used. This algorithm uses is related to ant colony optimization in cloud Environment. Experiments performed by using PACO exhibit fine achievement both in load balance and make span of the entire cloud cluster. In this paper different technique such as ACO, PACO, min-min for task scheduling problem and determining optimal solution are deliberated.
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