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
  • [11] Algorithm to improve job scheduling problem in cloud computing environment
    Tareghian, Shahab
    Bornaee, Zarrintaj
    2015 2ND INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED ENGINEERING AND INNOVATION (KBEI), 2015, : 683 - 687
  • [12] Context-aware Job Scheduling for Cloud Computing Environments
    Assuncao, Marcos D.
    Netto, Marco A. S.
    Koch, Fernando
    Bianchi, Silvia
    2012 IEEE/ACM FIFTH INTERNATIONAL CONFERENCE ON UTILITY AND CLOUD COMPUTING (UCC 2012), 2012, : 255 - 262
  • [13] Metaheuristic approaches to multiobjective job scheduling in cloud computing systems
    Gasior, Jakub
    Seredynski, Franciszek
    2016 8TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM 2016), 2016, : 222 - 229
  • [14] An intelligent job scheduling system for web service in cloud computing
    Liu, Jing
    Luo, Xingguo
    Li, Bainan
    Zhang, Xingming
    Zhang, An
    Telkomnika - Indonesian Journal of Electrical Engineering, 2013, 11 (06): : 2956 - 2961
  • [15] Proactive Framework for Energy Efficient Job Scheduling in Cloud Computing
    Singh, Rupinderjit
    Agnihotri, Er. Manoj
    PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING AND INFORMATICS (IC3I), 2016, : 711 - 717
  • [16] Dynamic Hierarchical Structure Optimisation for Cloud Computing Job Scheduling
    Lane, Peter
    Helian, Na
    Bodla, Muhammad Haad
    Zheng, Minghua
    Moggridge, Paul
    APPLICATIONS OF EVOLUTIONARY COMPUTATION (EVOAPPLICATIONS 2022), 2022, : 301 - 316
  • [17] A Novel Cloud Computing Service Job Scheduling Optimization Model
    Zhang, Xin
    Wang, Tao
    Jia, Li
    COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION III, 2014, 443 : 584 - 588
  • [18] Smart Job Scheduling Model for Cloud Computing Network Application
    Onyema E.M.
    Gude V.
    Bhatt A.
    Aggarwal A.
    Kumar S.
    Benson-Emenike M.E.
    Nwobodo L.O.
    SN Computer Science, 5 (1)
  • [19] Cuckoo-inspired Job Scheduling Algorithm for Cloud Computing
    Aloboud, Ebtesam
    Kurdi, Heba
    10TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2019) / THE 2ND INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40 2019) / AFFILIATED WORKSHOPS, 2019, 151 : 1078 - 1083
  • [20] Efficient job scheduling in cloud computing based on genetic algorithm
    Sahraei, Shirin Hosseinzadeh
    Kashani, Mohammad Mansour Riahi
    Rezazadeh, Javad
    Farahbakhsh, Reza
    INTERNATIONAL JOURNAL OF COMMUNICATION NETWORKS AND DISTRIBUTED SYSTEMS, 2019, 22 (04) : 447 - 467