QoS-DPSO: QoS-aware Task Scheduling for Cloud Computing System

被引:27
|
作者
Jing, Weipeng [1 ]
Zhao, Chuanyu [2 ]
Miao, Qiucheng [1 ]
Song, Houbing [3 ]
Chen, Guangsheng [1 ]
机构
[1] Northeast Forestry Univ, Coll Informat & Comp Engn, Harbin 150040, Peoples R China
[2] Comp Ctr Heilongjiang, Harbin 150000, Peoples R China
[3] Embry Riddle Aeronaut Univ, Dept Elect Comp Software & Syst Engn, Daytona Beach, FL 32114 USA
基金
国家重点研发计划; 中国国家自然科学基金; 黑龙江省自然科学基金; 中国博士后科学基金;
关键词
Cloud computing; Quality of service; Fault-tolerant; Task scheduling; Multi-objective; ALGORITHM; OPTIMIZATION; FRAMEWORK;
D O I
10.1007/s10922-020-09573-6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Dynamic provisioning of computational resources in cloud computing system is a challenging problem. With many VMs being deployed in clouds, managing so much resources to stable work becomes a critical problem. Therefore, how to meet the different quality of service (QoS), we consider the service quality requirements is very important. In this paper, we address this problem. We first establish a QoS scheduling model by incorporating the cloud characteristics, and then, we develop a task scheduling objects to ensure faults can be tolerated during the task exaction. Finally, we proposed a QoS-aware scheduling algorithm, QoS-DPSO, to satisfy the QoS required in cloud computing systems. For the target requirements of QoS requirement, we take the time, reliability and cost as a single object problem. Experimental results show that QoS-DPSO can effectively improve the performance and obtain the high reliability.
引用
收藏
页数:29
相关论文
共 50 条
  • [1] QoS-DPSO: QoS-aware Task Scheduling for Cloud Computing System
    Weipeng Jing
    Chuanyu Zhao
    Qiucheng Miao
    Houbing Song
    Guangsheng Chen
    [J]. Journal of Network and Systems Management, 2021, 29
  • [2] QoS-aware scheduling of Workflows in Cloud Computing environments
    Bousselmi, Khadija
    Brahmi, Zaki
    Gammoudi, Mohamed Mohsen
    [J]. IEEE 30TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS IEEE AINA 2016, 2016, : 737 - 745
  • [3] QoS-Aware Algorithm Based on Task Flow Scheduling in Cloud Computing Environment
    Rakrouki, Mohamed Ali
    Alharbe, Nawaf
    [J]. SENSORS, 2022, 22 (07)
  • [4] A QoS-AWARE SYSTEM FOR MOBILE CLOUD COMPUTING
    Zhang, Peng
    Yan, Zheng
    [J]. 2011 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS, 2011, : 518 - 522
  • [5] Template-based Genetic Algorithm for QoS-aware Task Scheduling in Cloud Computing
    Sheng, Xiaodong
    Li, Qiang
    [J]. 2016 FOURTH INTERNATIONAL CONFERENCE ON ADVANCED CLOUD AND BIG DATA (CBD 2016), 2016, : 25 - 30
  • [6] QRSF: QoS-aware resource scheduling framework in cloud computing
    Singh, Sukhpal
    Chana, Inderveer
    [J]. JOURNAL OF SUPERCOMPUTING, 2015, 71 (01): : 241 - 292
  • [7] QRSF: QoS-aware resource scheduling framework in cloud computing
    Sukhpal Singh
    Inderveer Chana
    [J]. The Journal of Supercomputing, 2015, 71 : 241 - 292
  • [8] QoS-Aware Task Scheduling in Cloud-Edge Environment
    Lu, Shida
    Gu, Rongbin
    Jin, Hui
    Wang, Liang
    Li, Xin
    Li, Jing
    [J]. IEEE ACCESS, 2021, 9 : 56496 - 56505
  • [9] A QoS-aware Task Allocation Model for Mobile Cloud Computing
    Zarei, Mohammad Hossein
    Shirsavar, Milad Azizpour
    Yazdani, Nasser
    [J]. 2016 SECOND INTERNATIONAL CONFERENCE ON WEB RESEARCH (ICWR), 2016, : 43 - 47
  • [10] The Journey of QoS-Aware Autonomic Cloud Computing
    Singh, Sukhpal
    Chana, Inderveer
    Singh, Maninder
    [J]. IT PROFESSIONAL, 2017, 19 (02) : 42 - 49