Journal ArticleDOI
A hybrid meta-heuristic scheduler algorithm for optimization of workflow scheduling in cloud heterogeneous computing environment
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This article is published in Journal of Engineering, Design and Technology.The article was published on 2021-09-27. It has received 6 citations till now. The article focuses on the topics: Cloud computing & Symmetric multiprocessor system.read more
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Multi-objective fault-tolerant optimization algorithm for deployment of IoT applications on fog computing infrastructure
TL;DR: A mechanism for tackling single point of failure and application reliability enhancement against failure are presented and a multi-objective cuckoo search algorithm (MOCSA) is presented for reduction of bandwidth wastage in regards to application components dependency in their distributed deployment.
Journal ArticleDOI
Bi-objective scheduling algorithm for scientific workflows on cloud computing platform with makespan and monetary cost minimization approach
TL;DR: In this paper, a hybrid bi-objective optimization based on simulated annealing and task duplication algorithms (BOSA-TDA) is proposed for scientific workflow scheduling running on hybrid cloud architecture.
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Enhanced genetic algorithm with some heuristic principles for task graph scheduling
Journal ArticleDOI
Multiobjective Prioritized Workflow Scheduling in Cloud Computing Using Cuckoo Search Algorithm
TL;DR: In this paper , a task-prioritized multiobjective workflow scheduling algorithm was developed by using cuckoo search algorithm to precisely map incoming workflows onto corresponding virtual resources.
Journal ArticleDOI
A Memory-Constraint-Aware List Scheduling Algorithm for Memory-Constraint Heterogeneous Muti-Processor System
TL;DR: In this article , a heuristic search optimization algorithm called Memory-constraint-aware Improved Predict Priority and Optimistic Processor Selection Scheduling (MIPPOSS) is proposed.
References
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Journal ArticleDOI
Optimization by Simulated Annealing
TL;DR: There is a deep and useful connection between statistical mechanics and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters), and a detailed analogy with annealing in solids provides a framework for optimization of very large and complex systems.
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Grey Wolf Optimizer
TL;DR: The results of the classical engineering design problems and real application prove that the proposed GWO algorithm is applicable to challenging problems with unknown search spaces.
Journal ArticleDOI
The Whale Optimization Algorithm
Seyedali Mirjalili,Andrew Lewis +1 more
TL;DR: Optimization results prove that the WOA algorithm is very competitive compared to the state-of-art meta-heuristic algorithms as well as conventional methods.
Journal ArticleDOI
Performance-effective and low-complexity task scheduling for heterogeneous computing
TL;DR: Two novel scheduling algorithms for a bounded number of heterogeneous processors with an objective to simultaneously meet high performance and fast scheduling time are presented, called the Heterogeneous Earliest-Finish-Time (HEFT) algorithm and the Critical-Path-on-a-Processor (CPOP) algorithm.
Journal ArticleDOI
List Scheduling Algorithm for Heterogeneous Systems by an Optimistic Cost Table
Hamid Arabnejad,Jorge G. Barbosa +1 more
TL;DR: The analysis and experiments show that the PEFT algorithm outperforms the state-of-the-art list-based algorithms for heterogeneous systems in terms of schedule length ratio, efficiency, and frequency of best results.