In this paper, we present a new scheduling algorithm for a bounded number of fully connected graph based on Improve Max-Min, Min-Min and MiM-MaM scheduling task, (I-MMST) to optimize a new task scheduling algorithm for a specific data over cloud computing. Also, we offer significant ...
Shekhar and Mala (Shekhar, 2014) Proposed task scheduling optimization of independent tasks in cloud computing using an enhanced genetic algorithm. The objective of this work is to minimize runtime and balance the load of the resources. Generally, in the Genetic Algorithm (GA), the initial popula...
Multi-Objective Task and Workflow Scheduling Approaches in Cloud Computing: a Comprehensive Review Article 17 September 2020 Dynamic scheduling of independent tasks in cloud computing applying a new hybrid metaheuristic algorithm including Gabor filter, opposition-based learning, multi-verse optimizer, and...
In (Beegom and Rajasree, 2019); a task scheduling algorithm formulated for minimization of makespan, cost. A discrete modelled Integer PSO used as methodology for task scheduling in cloud computing. This simulation carried out on Cloudsim and synthetic datasets are used to give input to ...
It can be seen that the present invention uses the bacterial foraging algorithm to realize task scheduling and resource allocation in cloud computing, so that cloud computing has the advantages of swarm intelligence parallel search, being easy to escape from the local minimum, etc. on the ...
A Research of Time Cost Balance Simulated Annealing Ant Colony Algorithm for Task Allocation in Cloud Computing[J]. Microelectronics & Computer, 2016, 33(6): 53-58. [6] CAO Yu-xiao, YU Xiang, QIAN Ying. A Kind of Task Scheduling Optimized by Bat Algorithm in Cloud Computing[J]. ...
Task SchedulingCloud computing is an emerging distributed, low cost computing paradigm with a large collection of heterogeneous autonomous systems. It provides, on demand, flexible and scalable services to customers through a pay per use basis. The overall performance of cloud infrastructure depends on...
This paper presents a load balanced task scheduling algorithm in the cloud, which is based on probability theory. The proposed algorithm is shown to be a 2-approximation algorithm with a time complexity of O(lm), where l is the number of customer tasks and m is the number of VMs. The ...
Section 4 discusses the proposed algorithm. Section 5 deals with performance evaluation and Section 6 consist of the conclusion and future work. 2. Related works Scheduling of tasks is the major issue in the cloud computing environment as it profoundly affects the performance of the system. We ...
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Rights and permissions Reprints and permissions About this article Cite this article Khan, M.S.A., Santhosh, R. Task scheduling in cloud computing using hybrid optimization algorithm.Sof...