Request Generation and Intelligent Scheduling for Cloud Educational Resource Datacenter

被引：0
作者：
Polezhaev, Petr N. [1 ]
Shukhman, Alexander E. [1 ]
Bolodurina, Irina P. [1 ]
Ushakov, Yuri A. [1 ]
Legashev, Leonid V. [1 ]
机构：
[1] Orenburg State Univ, Dept Math & Informat Technol, Orenburg, Russia
来源：
2016 IEEE 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS (IS) | 2016年
关键词：
Cloud computing; Desktop as a Service; scheduling; genetic algorithm; simulated annealing 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：
This paper presents the architecture, the simulation model and scheduling algorithms for a cloud educational resource datacenter (CERD). CERD is a way to provide an economically profitable shared remote access to paid software for educational facilities. The architecture reflects the physical and logical structure of CERD and its components. The simulation model describes the simulation scheme and the method for generation and processing of user requests. The problem of efficient CERD scheduling for the optimal use of cloud virtual machines and software licenses have been studied in details. Within the research two intelligent algorithms for scheduling are implemented: the simulated annealing algorithm and genetic algorithm. The algorithm estimation criteria are the performance time and the count of satisfied requests. The most efficient algorithm will be used in further experimental researches on actual CERD implementation.
引用
收藏
页码：747 / 752
页数：6
相关论文
共 50 条
  • [41] Cost-Aware Cloud Service Request Scheduling for SaaS Providers
    Liu, Zhipiao
    Wang, Shangguang
    Sun, Qibo
    Zou, Hua
    Yang, Fangchun
    COMPUTER JOURNAL, 2014, 57 (02) : 291 - 301
  • [42] Cost-Effective Request Scheduling for Greening Cloud Data Centers
    Chen, Ying
    Lin, Chuang
    Huang, Jiwei
    Shen, Xuemin
    PROCEEDINGS 2016 IEEE INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC 2016), 2016, : 50 - 57
  • [43] A Task Scheduling Approach for Cloud Resource Management
    Shi, Yong
    Suo, Kun
    Kemp, Steven
    Hodge, Jameson
    PROCEEDINGS OF THE 2020 FOURTH WORLD CONFERENCE ON SMART TRENDS IN SYSTEMS, SECURITY AND SUSTAINABILITY (WORLDS4 2020), 2020, : 131 - 136
  • [44] Improving Task Scheduling in Cloud Datacenters by Implementation of an Intelligent Scheduling Algorithm
    Jasim Mohammad O.K.
    Salih B.M.
    Informatica (Slovenia), 2024, 48 (10): : 77 - 88
  • [45] 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
  • [46] Resource Scheduling for Tasks of a Workflow in Cloud Environment
    Karmakar, Kamalesh
    Das, Rajib K.
    Khatua, Sunirmal
    DISTRIBUTED COMPUTING AND INTERNET TECHNOLOGY (ICDCIT 2020), 2020, 11969 : 214 - 226
  • [47] Resource Scheduling of Workflow Tasks in Cloud Environment
    Karmakar, Kamalesh
    Das, Rajib K.
    Khatua, Sunirmal
    13TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED NETWORKS AND TELECOMMUNICATION SYSTEMS (IEEE ANTS), 2019,
  • [48] Cloud workflow scheduling with hybrid resource provisioning
    Long Chen
    Xiaoping Li
    The Journal of Supercomputing, 2018, 74 : 6529 - 6553
  • [49] Cloud workflow scheduling with hybrid resource provisioning
    Chen, Long
    Li, Xiaoping
    JOURNAL OF SUPERCOMPUTING, 2018, 74 (12) : 6529 - 6553
  • [50] Research of Resource Scheduling based on ACA-GA in the Cloud Computing
    Chen, Xuan
    Song, Wenfei
    Li, Zhaoguo
    INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING, 2016, 9 (06): : 1 - 12
12345