Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment

. Monika, Pardeep kumar, Sanjay Tyagi

Abstract


In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.

Full Text:

PDF

References


Christina Hoffa, Gaurang Mehta, Timothy Freeman, EwaDeelman, Kate Keahey, Bruce Berriman, John Good, “On the Use of Cloud Computing for Scientific Workflows”, in Fourth IEEE International Conference on eScience, pp. 640-645, 2008.

Meng Xu, Lizhen Cui, Haiyang Wang, Yanbing Bi, “A Multiple QoS Constrained Scheduling Strategy of Multiple Workflows for Cloud Computing”, in IEEE International Symposium on Parallel and Distributed Processing with Applications, pp. 629-634, 2009.

Suraj Pandey, LinlinWu, SiddeswaraMayura Guru, RajkumarBuyya, “A Particle Swarm Optimization-based Heuristic for Scheduling Workflow Applications in Cloud Computing Environments”, in 24th IEEE International Conference on Advanced Information Networking and Applications, pp. 400-407, 2010.

Fan Zhang, Junwei Cao, Kai Hwang and Cheng Wu, “Ordinal Optimized Scheduling of Scientific Workflows in Elastic Compute Clouds”, in Third IEEE International Conference on Coud Computing Technology and Science, pp. 9-17, 2011.

Cong Wan, Cuirong Wang, and Jianxun Pei, “A QoS–Awared Scientific Workflow Scheduling Schema in Cloud Computing”, in IEEE International Conference on Information Science and Technology, pp. 634-639, 2012.

Haoran Ji, WeidongBao,Xiaomin Zhu, Shu Yin, “Profit-Oriented Scheduling Optimization for Workflow in Clouds”, in IEEE International Conference on High Performance Computing and Communications & IEEE International Conference on Embedded and Ubiquitous Computing, pp. 1922-1929, 2013.

WenAn Tan, Yong Sun, Ling Xia Li, GuangZhen Lu, and Tong Wang, “A Trust Service-Oriented Scheduling Model for Workflow Applications in Cloud Computing”, in IEEE SYSTEMS JOURNAL, pp. 1-11, 2014.

Zhongjin Li, Jidong Ge, Haiyang Hu, Wei Song, Hao Hu, and Bin Luo, “ Cost and Energy AwareScheduling Algorithm for Scientific Workflowswith Deadline ConstraintinClouds”, in IEEE TRANSACTIONS ON SERVICES COMPUTING, pp. 1-15, 2015.

ArashDeldari, Mahmoud Naghibzadeh, Amin Rezaeian, HamidrezaAbrishami, “A Clustering Approach to Schedule Workflows to Run on the Cloud”, in Eighth International Conference on Information and Knowledge Technology (IKT), pp. 122-127, 2016.

Lihui Liu, Ying Yang, Haibo Wang, Zhifei Tan, Chen Li, “A Group Based Genetic Algorithm Data Replica Placement Strategy For Scientific Workflow”, in IEEE ICIS, pp. 459-464, 2017.




DOI: https://doi.org/10.23956/ijarcsse.v7i7.114

Refbacks

  • There are currently no refbacks.


Bookmark and Share


© International Journals of Advanced Research in Computer Science and Software Engineering (IJARCSSE)| All Rights Reserved | Powered by Advance Academic Publisher.