TASK SCHEDULING IN CLOUD ENVIRONMENT - A SURVEY
Autor: | D. Thangamani, Dr. K. Kungumaraj |
---|---|
Rok vydání: | 2021 |
Předmět: | |
DOI: | 10.5281/zenodo.5728023 |
Popis: | Cloud computing is an emerging technology to enhance user experiences in digitalized world. It delivers on demand computing services such as platform, storage, networking services, infrastructure, software, analysis and intelligence over the internet. Cloud computing provides flexibility, efficiency, speed, security, mobility, collaboration and disaster recovery to huge data of different organization. These benefits are achieved by using virtualization techniques and task scheduling. Task scheduling maps the tasks to virtual machines based on their clients needs and improve the performance metrics like CPU and ram utilization, reducing turnaround tine and task waiting time. This paper surveyed various task scheduling algorithms to improve user experiences in cloud computing. {"references":["1.\tTahini Alawani, \"Types of Task Scheduling Algorithms in Cloud Computing Environment\", www.intechopen.com/scheduling problem-new application and trends/chapters/71902, april 2020. 2.\tPoonam Chaudhary, Varsha,\" A survey on heuristic Based Techniques in cloud computing\", International Research Journal of Engineering and Technology, Volume 4: Issue: 08: August 2017 3.\tYoung Ju Moon, Heon Chang Yu, Joon‑Min Gil, and Jong Beom Lim,,\" A slave ants based ant colony optimization algorithm for task scheduling in cloud computing environments \", Humen –centric computing information sciences, (2017). 4.\tLei Shi, Jing Xu, Lunfei Wang, Jie Chen, Zhifeng Jin, Tao Ouyang, Juan Xu, and Yuqi Fan,\" Multijob Associated Task Scheduling for Cloud Computing Based on Task Duplication and Insertion\", Emerging Trends and Challenges in Knowledge Defined Networking for 5G,April 2021. 5.\tGawali, M.B., Shinde, S.K. Task scheduling and resource allocation in cloud computing using a heuristic approach. J Cloud Comp 7, 4 (2018). https://doi.org/10.1186/s13677-018-0105-8 6.\tZhongxue Yang, Xiaolin Qin, Wenrui Li and Yingjie Yang, 2013. Optimized Task Scheduling and Resource Allocation in Cloud Computing Using PSO based Fitness Function. Information Technology Journal, 12: 7090-7095. 7.\tNima Jafari Navimipour and Farnaz Sharifi Milani,\" Task Scheduling in the Cloud Computing Based on the Cuckoo Search Algorithm\", International Journal of Modeling and Optimization, Vol. 5, No. 1, February 2015. 8.\tX.-S. Yang and S. Deb, \"Cuckoo search via Levy flights,\" in Proc. World Congress on Nature & Biologically Inspired Computing, 2009, pp. 210-214. 9.\tHamed, A. Y., Alkinani, M. H. (2021). Task Scheduling Optimization in Cloud Computing Based on Genetic Algorithms. CMC-Computers, Materials & Continua, 69(3), 3289–3301. 10.\tZ. Zhong, K. Chen, X. Zhai and S. Zhou, \"Virtual machine-based task scheduling algorithm in a cloud computing environment,\" in Tsinghua Science and Technology, vol. 21, no. 6, pp. 660-667, Dec. 2016, DOI: 10.1109/TST.2016.7787008. 11.\tR. Sathish Kumar, S. Gunasekaran,\" Improved task scheduling in large scale cloud environment using artificial bee colony algorithm\", International Journal of computer applications (0975-8887), Volume 103, October 2014. 12.\tAmandeep Kaur & Dr. Raman Maini, \"Different task scheduling algorithms in cloud computing\", International Journal of Latest Trends in Engineering and Technology, Vol. (9), Issue (3), pp.217-223 DOI: http://dx.doi.org/10.21172/1.93.37 e-ISSN:2278-621X 13.\tPardeep Singh, Jyotsna Sengupta, P. K. Suri ,\" Cpu And Memory Requirement Based Task Consolidation For Reducing Energy Consumption In Cloud Computing\", Journal Of Critical Reviews ISSN- 2394-5125 Vol 7, Issue 09, 2020 14.\tMokhtar A. Alworafi, Atyaf Dhari, Asma A. Al-Hashmi, Suresha, A. Basit Darem,\" Cost-Aware Task Scheduling in Cloud Computing Environment\", International Journal of Computer Network and Information Security(IJCNIS), Vol.9, No.5, pp. 52-59, 2017.DOI: 10.5815/ijcnis.2017.05.07 15.\tWeiwei Lin and Chen Liang and James Zijun Wang and Rajkumar Buyya,\"Bandwidth‐aware divisible task scheduling for cloud computing\", Software: Practice and Experience, 2014, Volume 44."]} |
Databáze: | OpenAIRE |
Externí odkaz: |