{"title":"云环境下基于粒子群优化的并行任务调度研究","authors":"R. Valarmathi, T. Sheela","doi":"10.1109/ICCCT2.2017.7972253","DOIUrl":null,"url":null,"abstract":"Cloud Computing is a new emerging paradigm that provisions various computing resources to meet the developing computational needs. Scheduling the task poses many difficulties, because the cloud computing resources are complex, dynamic, heterogeneous, distributed in nature. Task Scheduling aims at minimising the makespan and maximising the resource utilisation. This paper gives an elaborate idea about Particle Swarm optimisation (PSO) algorithm and its several variants for task scheduling in cloud environment. PSO produces better results for task Scheduling Problems. This paper gives an insight to the researchers about various aspects of PSO and Task Scheduling.","PeriodicalId":445567,"journal":{"name":"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A comprehensive survey on Task Scheduling for parallel workloads based on Particle Swarm optimisation under Cloud environment\",\"authors\":\"R. Valarmathi, T. Sheela\",\"doi\":\"10.1109/ICCCT2.2017.7972253\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cloud Computing is a new emerging paradigm that provisions various computing resources to meet the developing computational needs. Scheduling the task poses many difficulties, because the cloud computing resources are complex, dynamic, heterogeneous, distributed in nature. Task Scheduling aims at minimising the makespan and maximising the resource utilisation. This paper gives an elaborate idea about Particle Swarm optimisation (PSO) algorithm and its several variants for task scheduling in cloud environment. PSO produces better results for task Scheduling Problems. This paper gives an insight to the researchers about various aspects of PSO and Task Scheduling.\",\"PeriodicalId\":445567,\"journal\":{\"name\":\"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)\",\"volume\":\"136 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCT2.2017.7972253\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCT2.2017.7972253","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comprehensive survey on Task Scheduling for parallel workloads based on Particle Swarm optimisation under Cloud environment
Cloud Computing is a new emerging paradigm that provisions various computing resources to meet the developing computational needs. Scheduling the task poses many difficulties, because the cloud computing resources are complex, dynamic, heterogeneous, distributed in nature. Task Scheduling aims at minimising the makespan and maximising the resource utilisation. This paper gives an elaborate idea about Particle Swarm optimisation (PSO) algorithm and its several variants for task scheduling in cloud environment. PSO produces better results for task Scheduling Problems. This paper gives an insight to the researchers about various aspects of PSO and Task Scheduling.