%0 Journal Article %1 noauthororeditor %A Thaman, Jyoti %A Singh, Manpreet %D 2016 %J International Journal on Foundations of Computer Science & Technology (IJFCST) %K Algorithms Genetic Greedy Heuristics Metaheuristics Review Scheduling Task %N 1 %P 21 %T Current Perspective in Task Scheduling Techniques in Cloud Computing: A Review %U https://wireilla.com/papers/ijfcst/V6N1/6116ijfcst06.pdf %V 6 %X Cloud computing is a development of parallel, distributed and grid computing which provides computing potential as a service to clients rather than a product. Clients can access software resources, valuable information and hardware devices as a subscribed and monitored service over a network through cloud computing.Due to large number of requests for access to resources and service level agreements between cloud service providers and clients, few burning issues in cloud environment like QoS, Power, Privacy and Security, VM Migration, Resource Allocation and Scheduling need attention of research community.Resource allocation among multiple clients has to be ensured as per service level agreements. Several techniques have been invented and tested by research community for generation of optimal schedules in cloud computing. A few promising approaches like Metaheuristics, Greedy, Heuristic technique and Genetic are applied for task scheduling in several parallel and distributed systems. This paper presents a review on scheduling proposals in cloud environment

@article{noauthororeditor, abstract = {Cloud computing is a development of parallel, distributed and grid computing which provides computing potential as a service to clients rather than a product. Clients can access software resources, valuable information and hardware devices as a subscribed and monitored service over a network through cloud computing.Due to large number of requests for access to resources and service level agreements between cloud service providers and clients, few burning issues in cloud environment like QoS, Power, Privacy and Security, VM Migration, Resource Allocation and Scheduling need attention of research community.Resource allocation among multiple clients has to be ensured as per service level agreements. Several techniques have been invented and tested by research community for generation of optimal schedules in cloud computing. A few promising approaches like Metaheuristics, Greedy, Heuristic technique and Genetic are applied for task scheduling in several parallel and distributed systems. This paper presents a review on scheduling proposals in cloud environment}, added-at = {2023-01-04T15:05:58.000+0100}, author = {Thaman, Jyoti and Singh, Manpreet}, biburl = {https://www.bibsonomy.org/bibtex/2e4bc19110c7277ee1316312692b38dd8/devino}, interhash = {4304eba601020c662469938b5d18fb4b}, intrahash = {e4bc19110c7277ee1316312692b38dd8}, issn = {1839-7662}, journal = {International Journal on Foundations of Computer Science & Technology (IJFCST)}, keywords = {Algorithms Genetic Greedy Heuristics Metaheuristics Review Scheduling Task}, month = jan, number = 1, pages = 21, timestamp = {2023-01-04T15:05:58.000+0100}, title = {Current Perspective in Task Scheduling Techniques in Cloud Computing: A Review }, url = {https://wireilla.com/papers/ijfcst/V6N1/6116ijfcst06.pdf}, volume = 6, year = 2016 }