Filters








812 Hits in 11.1 sec

Effect of Acceleration Coefficient on Particle Swarm optimization for Task Scheduling in Cloud Computing

Nagresh Kumar
2021 EAI Endorsed Transactions on Cloud Systems  
Particle swarm optimization as a heuristic algorithm is the most suitable algorithm in such scenario to serve user requests for the most appropriate resources.  ...  Author has use MATLab to test the effect of acceleration coefficient on fitness value and also implemented in CloudSim simulator to test variation in execution time in various scenario.  ...  Task scheduling refers to scheduling of task to appropriate resources to optimize computing costs. The computing performance depends on proper scheduling of task to the appropriate resources.  ... 
doi:10.4108/eai.15-1-2021.168140 fatcat:ntuk7ttrunel5lpa6zlgtup5au

Particle Swarm Optimization with Time Varying Parameters for Scheduling in Cloud Computing

Zhao Shuang, Lu Xianli, Li Xuejun, G. Zhihua, L. Wei-Hsin
2015 MATEC Web of Conferences  
Task resource management is important in cloud computing system. It's necessary to find the efficient way to optimize scheduling in cloud computing.  ...  In this paper, an optimized particle swarm optimization (PSO) algorithms with adaptive change of parameter (viz., inertial weight and acceleration coefficients) according to the evolution state evaluation  ...  A particle swarm optimization for scheduling workflow applications in cloud Liu, H., Abraham, A., & Hassanien, A. E. (2010). Scheduling jobs on computational grids using a Future 1343. Wu, W. (2012).  ... 
doi:10.1051/matecconf/20152806001 fatcat:tixnni3mkzhnfogxnbvw5gw37i

Research on Particle Swarm Optimization Algorithm Based on Cloud Computing Task Scheduling

Qing WANG,, Xue-liang FU, Gai-fang DONG,, Sha-sha ZHAO, Yan XU
2018 DEStech Transactions on Computer Science and Engineering  
Whether home or abroad, both resource allocation and task scheduling is one of the popular problems in the cloud computing environment, and swarm intelligence algorithm is a hot topic.  ...  Particle swarm optimization (PSO) is an important swarm intelligent algorithm in solving the task scheduling optimization problem.  ...  Cloud Computing Task Scheduling Problem Description Cloud computing task scheduling mainly study how to allocate resources for tasks which the user submit.  ... 
doi:10.12783/dtcse/pcmm2018/23673 fatcat:bmu776eb7rcwhk4zwnod4bs5pu

A Review Paper on Various Task Scheduling Algorithms in Cloud Computing

Ramandeep Kaur, Amardeep Kaur
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
Task scheduling is a challenging issue to gain maximum profit and to efficiently increase working of cloud computing.  ...  This paper surveys Particle Swarm Optimization (PSO), Particle Swarm-simulated Annealing (P-S) algorithm and improved PSO.  ...  This theory search for optimal schedulers in the multi-objective optimizing matter on resources based on total task executing time, resource reservation, and QoS of each task [6] .  ... 
doi:10.23956/ijarcsse/v7i5/0178 fatcat:yk3em5aybbd6hc4nwemm6pc7gq

Application of PSO Algorithm based on Improved Accelerating Convergence in Task Scheduling of Cloud Computing Environment

Zhulin Li, Cuirong Wang, Haiyan Lv
2016 International Journal of Grid and Distributed Computing  
Based on this, the improved accelerate particle swarm algorithm (IAPSO) is introduced to the cloud environment, and to solve the cloud task scheduling problem in this article.  ...  When we use particle swarm algorithm for task scheduling, the tasks are considered as particles, the resource pool is seen as the search space, and the process of finding the optimal solution is considered  ...  Acknowledgments Liaoning Information Platform of Rural Science and Technology Service and the University of Agricultural Technology Extension Demonstration of Research.  ... 
doi:10.14257/ijgdc.2016.9.9.23 fatcat:sfnkvaijxjdazh2pyoaietuxhy

Improved the Response Throughput of Load Balancing of Scientific Cloud using Particle of Swarm Optimization

Rahul Bodkhe, Deepak Sain
2016 International Journal of Computer Applications  
In this paper used particle of swarm optimization technique for the balancing of job in cloud environment.  ...  Now a day's various heuristic function are used for the balancing and scheduling of load in cloud computing.  ...  CONCLUSION AND FUTURE SCOPE In this paper used particle of swarm optimization algorithm for the selection of job and task for the resource allocation in public cloud computing.  ... 
doi:10.5120/ijca2016910021 fatcat:hcqtlkce3bbyzp7ecw66ubusfq

Task Scheduling Optimization in Cloud Computing Based on Heuristic Algorithm

Lizheng Guo, Shuguang Zhao, Shigen Shen, Changyuan Jiang
2012 Journal of Networks  
In this paper in order to minimize the cost of the processing we formulate a model for task scheduling and propose a particle swarm optimization (PSO) algorithm which is based on small position value rule  ...  In the process of scheduling some intensive data or computing an intensive application, it is acknowledged that optimizing the transferring and processing time is crucial to an application program.  ...  TASK SCHEDULING BASED ON PARTICLE SWARM OPTIMIZATION PSO is an algorithm proposed by Kennedy and Eberhart in 1995 [23] .  ... 
doi:10.4304/jnw.7.3.547-553 fatcat:2y6e7jqqengpvjlabw5qgsasvm

Cellular Particle Swarm Scheduling Algorithm for Virtual Resource Scheduling of Cloud Computing

Hao Yuan, Changbing Li, Maokang Du
2015 International Journal of Grid and Distributed Computing  
This approach through mathematical modeling for virtual resource scheduling of cloud computing and complete the final search configuration based on directional optimization objective function.  ...  The virtual resource scheduling is an important topic in the field of cloud computing.  ...  This article combines cellular automata with particle swarm optimization, proposes a cellular particle swarm optimization, using in virtual resource scheduling for cloud computing.  ... 
doi:10.14257/ijgdc.2015.8.3.28 fatcat:lcmtz5ndq5hrverz2xsmnbsg4m

Scheduling Optimization of Cloud Resource Supply Chain through Multi-Objective Particle Swarm Optimization

H. Jiang, C. Y. Liu
2019 International Journal of Simulation Modelling  
The research findings shed new light on the scheduling optimization of cloud resource supply chain.  ...  Considering supply chain scheduling optimization as a multi-objective optimization problem, this paper combines the fuzzy correlation entropy (FCE) and particle swarm optimization (PSO) into an FCE-based  ...  In light of the above, this paper aims to find an effective method for multi-objective optimization of the scheduling of a cloud resource supply chain.  ... 
doi:10.2507/ijsimm18(1)co3 fatcat:eumex3zn45fwdldawomcfnuvbe

Solving Task Scheduling Problem in Cloud Computing Environment Using Orthogonal Taguchi-Cat Algorithm

Danlami Gabi, Abdul Samad Ismail, Anazida Zainal, Zalmiyah Zakaria
2017 International Journal of Electrical and Computer Engineering (IJECE)  
Results obtained showed OTB-CSO is effective to optimize task scheduling and improve overall cloud computing performance with better system utilization.  ...  In cloud computing datacenter, task execution delay is no longer accidental.  ...  ACKNOWLEDGEMENTS The author will like to acknowledge the support of the Co-authors for their significant contributions toward making this research a success and also the financial support rendered by Tertiary  ... 
doi:10.11591/ijece.v7i3.pp1489-1497 fatcat:fqfe7q3lxrewdpraq25xvhsbcy

Based on Particle Swarm Optimization Algorithm of Cloud Computing Resource Scheduling in Mobile Internet

Yong Lin
2016 International Journal of Grid and Distributed Computing  
According to the characteristics of the optimization problems, both the distribution of the improved algorithm is proposed, the algorithm based on particle swarm optimization (pso) algorithm, build the  ...  Therefore, mobile Internet cloud computing resources allocation need both energy efficiency and assure the time characteristics of mobile business; Aiming at this problem, this paper presents a maximum  ...  Resource Scheduling Design based on Particle Swarm In the actual search process, due to the heterogeneous network, the user changes, resulting in changes of the virtual machine, each task in the data transmission  ... 
doi:10.14257/ijgdc.2016.9.6.03 fatcat:fiytvuvaonawbisj3syssp4rti

A review of swarm intelligence algorithms deployment for scheduling and optimization in cloud computing environments

Yousef Qawqzeh, Mafawez T. Alharbi, Ayman Jaradat, Khalid Nazim Abdul Sattar
2021 PeerJ Computer Science  
This review focuses on reviewing the recent publications of swarm intelligence algorithms (particle swarm optimization (PSO), ant colony optimization (ACO), artificial bee colony (ABC), and the firefly  ...  Methodology SI techniques were utilized in cloud computing environment seeking optimum scheduling strategies.  ...  In cloud computing, task scheduling is very important (Zuo et al., 2015) due to its direct effect in the performance of systems.  ... 
doi:10.7717/peerj-cs.696 pmid:34541313 pmcid:PMC8409329 fatcat:fxcfjpiikfellbn6ssoa6xwzqe

A Simplified Particle Swarm Optimization for Job Scheduling in Cloud Computing

Ibrahim Attiya, Xiaotong Zhang
2017 International Journal of Computer Applications  
In this paper, a simplified version of particle swarm optimization (PSO) algorithm is proposed to solve the job scheduling problem in cloud computing environment.  ...  Although cloud computing systems nowadays provide better ways to accomplish the job requests in terms of responsiveness and scalability under various workloads, scheduling of jobs or tasks in cloud environment  ...  The authors would also like to thank the support of Beijing Key Laboratory of Knowledge Engineering for Materials Science.  ... 
doi:10.5120/ijca2017913744 fatcat:j2yfzp5iknbpbfycorlnyofi2a

Medical Equipment Comprehensive Management System Based on Cloud Computing and Internet of Things

Lin Yao, Danmei Shang, Hui Zhao, Shuyu Hu
2021 Journal of Healthcare Engineering  
and uses the improved particle swarm optimization algorithm and chicken swarm algorithm to help the system reasonably achieve dynamic task scheduling.  ...  In order to improve the efficiency of medical equipment management in hospital, based on cloud computing and the Internet of Things, this paper develops a comprehensive management system of medical equipment  ...  To apply the particle swarm algorithm to the cloud computing task scheduling problem, the particles need to be coded. If there are k tasks and t resources, each task corresponds to 1 resource.  ... 
doi:10.1155/2021/6685456 pmid:33763195 pmcid:PMC7946454 fatcat:n6u3zom7qfaytc45ddcjcxxxcq

Multiobjective Optimization of Cloud Manufacturing Service Composition with Improved Particle Swarm Optimization Algorithm

Yongxiang Li, Xifan Yao, Min Liu, Agathoklis Giaralis
2020 Mathematical Problems in Engineering  
In the IPSOA, the integer encoding method was used for particle encoding.  ...  Taking automatic guided forklift manufacturing task as an example, the correctness of the proposed multiobjective optimization model of cloud manufacturing service composition and the effectiveness of  ...  Inertia Coefficient Setting. Inertia coefficient is one of the most important parameters in the particle swarm optimization algorithm.  ... 
doi:10.1155/2020/9186023 fatcat:6zx4biwaa5adrchykwsbhkbz3q
« Previous Showing results 1 — 15 out of 812 results