QoS-driven hybrid task scheduling algorithm in a cloud computing environment

被引：1
|
作者：
Potluri, Sirisha [1 ]
Mohanty, Sachi Nandan [2 ]
Mohanty, Sarita [3 ]
机构：
[1] ICFAI Fdn Higher Educ, Fac Sci & Technol IcfaiTech, Dept Comp Sci & Engn, Hyderabad, Telangana, India
[2] Vardhaman Coll Engn Autonomous, Dept Comp Sci & Engn, Hyderabad, India
[3] OUAT, CPGS, Dept Comp Sci & Applicat, Bhubaneswar, Odisha, India
来源：
INTERNATIONAL JOURNAL OF GRID AND UTILITY COMPUTING | 2023年 / 14卷 / 04期
关键词：
cloud computing; task scheduling; quality of service;
D O I：
10.1504/IJGUC.2023.132614
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Cloud computing environment is a growing technology of distributed computing. Typically using cloud computing the services are deployed with individuals or organisations and allow sharing of resources, services, and information based on the demand of users over the internet. CloudSim is a simulator tool used to simulate cloud scenarios. QoS-driven hybrid task scheduling architecture and algorithm for dependent and independent tasks in a cloud computing environment is proposed in this paper. The results are compared against the Min-Min task scheduling algorithm, QoS-driven independent task scheduling algorithm and QoS-driven hybrid task scheduling algorithm. QoS-driven hybrid task scheduling algorithm is assessed with time and cost as QoS parameters and gives a better result for these QoS parameters.
引用
收藏
页码：311 / 319
页数：10
相关论文
共 50 条
  • [1] A task scheduling algorithm based on QoS-driven in Cloud Computing
    Wu, Xiaonian
    Deng, Mengqing
    Zhang, Runlian
    Zeng, Bing
    Zhou, Shengyuan
    FIRST INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, 2013, 17 : 1162 - 1169
  • [2] QoS-driven scheduling in the cloud
    da Silva, Giovanni Farias
    Brasileiro, Francisco
    Lopes, Raquel
    Morais, Fabio
    Carvalho, Marcus
    Turull, Daniel
    JOURNAL OF INTERNET SERVICES AND APPLICATIONS, 2020, 11 (01)
  • [3] A hybrid algorithm for efficient task scheduling in cloud computing environment
    Roshni Thanka M.
    Uma Maheswari P.
    Bijolin Edwin E.
    International Journal of Reasoning-based Intelligent Systems, 2019, 11 (02): : 134 - 140
  • [4] SharpEdge: A QoS-driven task scheduling scheme with blockchain in mobile edge computing
    Gu, Ji
    Liu, Yushi
    Xu, Xiaolong
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2024, 36 (19):
  • [5] Cost performance of QoS Driven task scheduling in cloud computing
    Bansal, Nidhi
    Maurya, Amitab
    Kumar, Tarun
    Singh, Manzeet
    Bansal, Shruti
    3RD INTERNATIONAL CONFERENCE ON RECENT TRENDS IN COMPUTING 2015 (ICRTC-2015), 2015, 57 : 126 - 130
  • [6] QoS-Aware Algorithm Based on Task Flow Scheduling in Cloud Computing Environment
    Rakrouki, Mohamed Ali
    Alharbe, Nawaf
    SENSORS, 2022, 22 (07)
  • [7] Hybrid algorithm based on genetic algorithm and PSO for task scheduling in cloud computing environment
    Kousalya, A. (kousalya198710@gmail.com), 1600, Inderscience Enterprises Ltd., 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland (17): : 2 - 3
  • [8] HTSA: A novel hybrid task scheduling algorithm for heterogeneous cloud computing environment
    Behera, Ipsita
    Sobhanayak, Srichandan
    SIMULATION MODELLING PRACTICE AND THEORY, 2024, 137
  • [9] A hybrid multi-faceted task scheduling algorithm for cloud computing environment
    Kalka Dubey
    S. C. Sharma
    International Journal of System Assurance Engineering and Management, 2023, 14 : 774 - 788
  • [10] A hybrid multi-faceted task scheduling algorithm for cloud computing environment
    Dubey, Kalka
    Sharma, S. C.
    INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2023, 14 (SUPPL 3) : 774 - 788
12345