Research Perspective of Job Scheduling in Cloud Computing

被引:0
|
作者
Sutha, K. [1 ,2 ]
Nawaz, G. M. Kadhar [3 ]
机构
[1] Bharathiar Univ, Comp Sci, Res & Dev Ctr, Coimbatore 641046, Tamil Nadu, India
[2] Dr MGR Janaki Coll Arts & Sci Women, Madras, Tamil Nadu, India
[3] Sona Coll Technol, Dept Master Comp Applicat, Salem 636005, Tamil Nadu, India
关键词
Cloud Computing; Scheduling; Algorithms; Resource Utilization; Throughput; ALGORITHM;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Today, Cloud Computing provides many technological oriented applications distributed over the internet. Cloud Computing facilitate tremendous changes in the IT world, to increases the maximum profits from this new platform. In IT industry everyday new applications coming up and increases the complexity of scheduling process. For this purpose, job scheduling plays a most important responsibility in current researchers to supply efficient utilization of cloud services, to get maximum ROI (Return on Investment) from those resources. This paper reveals about research perspective of job scheduling algorithms in cloud computing. Existing job scheduling algorithms mainly concentrate on few parameters like, high throughput, maximize resource utilization, minimize computational time, increasing performance, low bandwidth utilization, on-demand resource availability, cost, load balancing, priority, scalability, reliability, trust, and energy absorption.
引用
收藏
页码:61 / 66
页数:6
相关论文
共 50 条
  • [21] Job Scheduling for Cloud Computing Integrated with Wireless Sensor Network
    Zhu, Chunsheng
    Li, Xiuhua
    Leung, Victor C. M.
    Hu, Xiping
    Yang, Laurence T.
    2014 IEEE 6TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM), 2014, : 62 - 69
  • [22] Cooperative Game Theoretic Approach for Job Scheduling in Cloud Computing
    Ananth, Alaka
    Chandrasekaran, K.
    2015 INTERNATIONAL CONFERENCE ON COMPUTING AND NETWORK COMMUNICATIONS (COCONET), 2015, : 147 - 156
  • [23] Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
    Dong, Hang
    Wang, Boshi
    Qiao, Bo
    Xing, Wenqian
    Luo, Chuan
    Qin, Si
    Lin, Qingwei
    Zhang, Dongmei
    Virdi, Gurpreet
    Moscibroda, Thomas
    PROCEEDINGS OF THE THIRTIETH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2021, 2021, : 3627 - 3634
  • [24] The Business Perspective on Cloud Computing A Literature Review of Research on Cloud Computing
    Hoberg, Patrick
    Wollersheim, Jan
    Krcmar, Helmut
    AMCIS 2012 PROCEEDINGS, 2012,
  • [25] Research on scheduling algorithm of cloud computing task
    Li, Mei-An
    Zhang, Pei-Qiang
    Wang, Bu-Yu
    Metallurgical and Mining Industry, 2015, 7 (09): : 254 - 258
  • [26] Research of Resource Scheduling Strategy in Cloud Computing
    Gao, Ying
    Yang, Guang
    Ma, Yanglin
    Lei, Mu
    Duan, Jiajie
    INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING, 2015, 8 (03): : 257 - 265
  • [27] Cost-based job scheduling strategy in cloud computing environments
    Mansouri, N.
    Javidi, M. M.
    DISTRIBUTED AND PARALLEL DATABASES, 2020, 38 (02) : 365 - 400
  • [28] Smart Job Scheduling for High-Performance Cloud Computing Services
    Muhtaroglu, N.
    Ari, I.
    PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING, 2011, 95
  • [29] Job Scheduling using Minimum Variation First Algorithm in Cloud Computing
    Komarasamy, Dinesh
    Muthuswamy, Vijayalakshmi
    2014 SIXTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING, 2014, : 195 - 198
  • [30] Job scheduling algorithm for cloud computing based on particle swarm optimization
    Liu, Jing
    Luo, Xingguo
    Zhang, Xingming
    Zhang, Fan
    NANOTECHNOLOGY AND PRECISION ENGINEERING, PTS 1 AND 2, 2013, 662 : 957 - 960