Open AccessJournal Article
Research on task scheduling algorithm based on cloud computing
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TL;DR: The scheduling characteristics and performance indicators of the cloud computing, and the existing problems of task scheduling algorithm are summarized to point out the main progress in the study of cloud computing task scheduling.
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Abstract: The scheduling of the tasks in cloud computing have a major impact on the whole performance.It summarized the scheduling characteristics and performance indicators of the cloud computing,point out the main progress in the study of cloud computing task scheduling.From traditional tasks scheduling algorithm,task scheduling algorithm of Hadoop,intelligence and other aspects of task scheduling algorithm was summarized,analyzed and compared the different algorithms of algorithm thought,realization mechanism,to met the performance requirements.Finally,discussed the existing problems of task scheduling algorithm,it prospected the outlook of the scheduling in cloud computing.
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Citations
Task scheduling of cloud computing using integrated particle swarm algorithm and ant colony algorithm
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- 01 Jan 2021
TL;DR: Thanks to extensive research, recent years saw breakthroughs in the theories of big data, cloud computing, and IoT, and as a result, a number of applications have sprung up, such as application of research on big data and cloud computing in forestry, application ofResearch onbig data and IoT in aquaculture, and application of Research on IoT and cloud Computing in agriculture.
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Task Scheduling Algorithm of Administrative Management System Based on Ant Colony Optimization Neural Network
Li Wenting,Jia xinlin +1 more
- 26 May 2023
TL;DR: In this article , a hybrid GA and annealing algorithm is proposed to better solve the problem of large amount of interactive data in cloud computing task scheduling in administrative system, and the algorithm encodes the execution task in the cloud computing environment, searches the global optimal solution of the task data through the fitness function of the GA, and uses the GA to adjust the GA fitness function to speed up the completion time during coding and cross reorganization of task data.
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Research on Resource Scheduling based on Improved Mutation Operator in Cloud Computing
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- 15 Apr 2016
TL;DR: A crossover-mutation operator in mutation is proposed to solve the problem of load balancing and scheduling in how to balance time and cost with existing GA, Min-min algorithm.
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