Optimization-based resource allocation for software as a service application in cloud computing

被引:0
|
作者
Chunlin Li
Yun Chang Liu
Xin Yan
机构
[1] Wuhan University of Technology,Department of Computer Science
[2] Nanjing University of Science and Technology,Key Laboratory of Intelligent Perception and Systems for High
来源
Journal of Scheduling | 2017年 / 20卷
关键词
Cloud computing; Software as a service (SaaS); Resource allocation; Quality of service (QoS);
D O I
暂无
中图分类号
学科分类号
摘要
Software as a service (SaaS) is a software that is developed and hosted by the SaaS vendor. SaaS cloud provides software as services to the users through the internet. To provide good quality of service for the user, the SaaS relies on the resources leased from infrastructure as a service cloud providers. As the SaaS services rapidly expand their application scopes, it is important to optimize resource allocation in SaaS cloud. The paper presents optimization-based resource allocation approach for software as a service application in cloud. The paper uses optimization decomposition approach to solve cloud resource allocation for satisfying the cloud user’s needs and the profits of the cloud providers. The paper also proposes a SaaS cloud resource allocation algorithm. The experiments are designed to compare the performance of the proposed algorithm with other two related algorithms.
引用
收藏
页码:103 / 113
页数:10
相关论文
共 50 条
  • [41] Virtual Resource Allocation based on Improved Particle Swarm Optimization in Cloud Computing Environment
    Shao, Youwei
    INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING, 2015, 8 (03): : 111 - 118
  • [42] Virtual Machine Resource Allocation Optimization in Cloud Computing Based on Multiobjective Genetic Algorithm
    Shi, Feng
    Lin, Jingna
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [43] An Efficient Resource Allocation for Infrastructure-as-a-Service in Cloud Computing Environments
    Liao, Wen-Hwa
    Yu, Chih-Kai
    Kuai, Ssu-Chi
    ADVANCED SCIENCE LETTERS, 2014, 20 (10-12) : 1851 - 1855
  • [44] Comprehensive Analysis of Resource Allocation and Service Placement in Fog and Cloud Computing
    Gowri, A. S.
    Bala, PShanthi
    Ramdinthara, Immanuel Zion
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, 12 (03) : 62 - 79
  • [45] Detection of distributed denial of service attack in cloud computing using the optimization-based deep networks
    Velliangiri, S.
    Karthikeyan, P.
    Vinoth Kumar, V.
    JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 2021, 33 (03) : 405 - 424
  • [46] Cloud Computing: Software as a Service
    Rumale, Aniruddha S.
    Chaudhari, Dinesh N.
    PROCEEDINGS OF THE 2017 IEEE SECOND INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER AND COMMUNICATION TECHNOLOGIES (ICECCT), 2017,
  • [47] POLSTM: Poplar optimization-based long short term memory model for resource allocation in cloud environment
    Samuel, Prithi
    Vinothini, Arumugham
    Kanniappan, Jayashree
    COMPUTER COMMUNICATIONS, 2023, 211 : 11 - 23
  • [48] An Architecture of IoT Service Delegation and Resource Allocation Based on Collaboration between Fog and Cloud Computing
    Alsaffar, Aymen Abdullah
    Pham, Hung Phuoc
    Hong, Choong-Seon
    Huh, Eui-Nam
    Aazam, Mohammad
    MOBILE INFORMATION SYSTEMS, 2016, 2016
  • [49] Adaptive Multivariable Control for Multiple Resource Allocation of Service-Based Systems in Cloud Computing
    Gong, Siqian
    Yin, Beibei
    Zheng, Zheng
    Cai, Kai-Yuan
    IEEE ACCESS, 2019, 7 : 13817 - 13831
  • [50] Cost and Deadline Optimization Along with Resource Allocation in Cloud Computing Environment
    Joy, Jimy
    KrishnaKumar, L.
    PROCEEDINGS OF THE 2013 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING & COMMUNICATION SYSTEMS (ICACCS), 2013,