Survey on resource allocation policy and job scheduling algorithms of cloud computing1

被引:21
作者
机构
[1] Software School of Xiamen University, Xiamen
来源
Chen, H. (hschen@xmu.edu.cn) | 1600年 / Academy Publisher卷 / 08期
关键词
Ant colony algorithm; Cloud computing; Genetic algorithm; Job scheduling; Resource allocation;
D O I
10.4304/jsw.8.2.480-487
中图分类号
学科分类号
摘要
Cloud computing is the product of the evolution of calculation. It is a new distributed computing model. As more and more people put into the research and applications on cloud computing, the technology of computing becomes more and more widely used. Cloud computing has a huge user group. It has to deal with a large number of tasks. How to make appropriate decisions when allocating hardware resources to the tasks and dispatching the computing tasks to resource pool has become the main issue in cloud computing. This paper is based on the current situation of resource allocation policy and job scheduling algorithms under cloud circumstance. It summarizes some methods to improve the performance, including dynamic resource allocation strategy based on the law of failure, dynamic resource assignment on the basis of credibility, ant colony optimization algorithm for resource allocation, dynamic scheduling algorithm based on threshold, optimized genetic algorithm with dual fitness and improved ant colony algorithm for job scheduling. © 2013 ACADEMY PUBLISHER.
引用
收藏
页码:480 / 487
页数:7
相关论文
共 50 条
  • [41] A comprehensive survey for scheduling techniques in cloud computing
    Kumar, Mohit
    Sharma, S. C.
    Goel, Anubhav
    Singh, S. P.
    JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2019, 143 : 1 - 33
  • [42] The analytic hierarchy process: task scheduling and resource allocation in cloud computing environment
    Ergu, Daji
    Kou, Gang
    Peng, Yi
    Shi, Yong
    Shi, Yu
    JOURNAL OF SUPERCOMPUTING, 2013, 64 (03) : 835 - 848
  • [43] Resource intensity aware job scheduling in a distributed cloud
    Huang Daochao
    Zhu Chunge
    Zhang Hong
    Liu Xinran
    CHINA COMMUNICATIONS, 2014, 11 (02) : 175 - 184
  • [44] Continuous Resource Allocation in Cloud Computing
    Zhou, Zhigang
    Zhang, Hongli
    Yu, Xiangzhan
    Guo, Junwu
    2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2015, : 319 - 324
  • [45] An Evolutionary Review on Resource Scheduling Algorithms Used for Cloud Computing with IoT Network
    Shakya, Santosh
    Tripathi, Priyanka
    RECENT ADVANCES IN ELECTRICAL & ELECTRONIC ENGINEERING, 2025, 18 (02) : 119 - 134
  • [46] Resource Allocation based on Genetic Algorithm for Cloud Computing
    Chen, Yi-Liang
    Huang, Shih-Yun
    Chang, Yao-Chung
    Chao, Han-Chieh
    2021 30TH WIRELESS AND OPTICAL COMMUNICATIONS CONFERENCE (WOCC 2021), 2021, : 211 - 212
  • [47] Pricing for Resource Allocation in Cloud Computing
    Cai, Zhengce
    Chen, Guolong
    Yang, Huijun
    Li, Xianwei
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON LOGISTICS, ENGINEERING, MANAGEMENT AND COMPUTER SCIENCE (LEMCS 2015), 2015, 117 : 921 - 925
  • [48] A Survey of Edge Computing Resource Allocation and Task Scheduling Optimization
    Xu, Xiaowei
    Ding, Han
    Wang, Jiayu
    Hua, Liang
    BIG DATA AND SECURITY, ICBDS 2023, PT II, 2024, 2100 : 125 - 135
  • [49] 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
  • [50] A Survey of Game Based Strategies of Resource Allocation in Cloud Computing
    Godhrawala, Husain
    Sridaran, R.
    PROCEEDINGS OF THE 10TH INDIACOM - 2016 3RD INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT, 2016, : 3561 - 3566