Virtual Machine Placement in Non-Cooperative Cloud Federation-Alliance

被引:1
|
作者
Addya, Sourav Kanti [1 ]
Satpathy, Anurag [2 ]
Turuk, Ashok Kumar [2 ]
Shaoo, Bibhudatta [2 ]
机构
[1] Natl Inst Technol Karnataka, Mangalore, India
[2] Natl Inst Technol Rourkela, Rourkela, India
关键词
Cloud Federation; Modified Best Fit; Virtual Machine; Virtual Machine Placement; Service Providers; ARCHITECTURES; STRATEGY;
D O I
10.1109/COMSNETS56262.2023.10041420
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Many inter-cloud organizations have been proposed to overcome the current limitations of cloud computing, such as service interruption, lack of interoperability, and degradation of services. One such multi-cloud architecture is the cloud federation, where multiple geographically distributed autonomous service providers voluntarily agree to share resources governed by a well-defined set of rules. Although federation offers numerous benefits for the service providers, sharing resources is supervised using a strict set of protocols offering limited flexibility. Hence, this paper proposes a relaxed resources sharing model for the service providers called cloud federation-alliance. The formation of the alliance is modeled as a non-cooperative game among the service providers. The game's stability and the alliance's performance loss are also studied using price-of-stability (PoS) and price-of-anarchy (PoA), respectively. A modified best-fit placement strategy is focused on reducing the power consumed. To assess the performance of the alliance placement, we compare its performance with random and worst-fit allocation techniques. This work aims to build a stable, sustainable, multi-cloud federation alliance and address this structure's critical issues. Extensive simulation results show stability between 2% and 30% with varying workloads.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Non-Cooperative and Deceptive Virtual Agents
    Traum, David
    [J]. IEEE INTELLIGENT SYSTEMS, 2012, 27 (06) : 66 - 69
  • [2] Federation services for heterogeneous digital libraries accessing cooperative and non-cooperative sources
    Endig, M
    Höding, M
    Saake, G
    Sattler, KU
    Schallehn, E
    [J]. 2000 KYOTO INTERNATIONAL CONFERENCE ON DIGITAL LIBRARIES: RESEARCH AND PRACTICE, PROCEEDINGS, 2000, : 120 - 127
  • [3] Non-Cooperative Gaming and Bidding Model Based Resource Allocation in Virtual Machine Environment
    Wan, Jian
    Deng, Dechuan
    Jiang, Congfeng
    [J]. 2012 IEEE 26TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS & PHD FORUM (IPDPSW), 2012, : 2183 - 2188
  • [4] Fully non-cooperative optimal placement of mobile vehicles
    Kalam, Shemin
    Gani, Mahbub
    Seneviratne, Lakmal
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, VOLS 1 AND 2, 2008, : 685 - 690
  • [5] Multiobjective Virtual Machine Placement in Cloud Environment
    Adamuthe, Amol C.
    Pandharpatte, Rupali M.
    Thampi, Gopakumaran T.
    [J]. 2013 INTERNATIONAL CONFERENCE ON CLOUD & UBIQUITOUS COMPUTING & EMERGING TECHNOLOGIES (CUBE 2013), 2013, : 8 - +
  • [6] Efficient Virtual Machine Placement in Cloud Environment
    Karmakar, Kamalesh
    Khatua, Sunirmal
    Das, Rajib K.
    [J]. 2017 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2017, : 1004 - 1009
  • [7] Virtual Machine Placement Strategies in Cloud Computing
    Bharathi, Divya P.
    Prakash, P.
    Kiran, Vamsee Krishna M.
    [J]. 2017 INNOVATIONS IN POWER AND ADVANCED COMPUTING TECHNOLOGIES (I-PACT), 2017,
  • [8] Federation Agreements Performance in Heterogeneous Environments: Non-Cooperative Games Approach
    Charilas, Dimitris
    Mathioudakis, Polychronis
    Panagopoulos, Athanasios
    Constantinou, Philip
    [J]. 2010 IEEE GLOBECOM WORKSHOPS, 2010, : 1141 - 1145
  • [9] Manufacturing Cloud Service Composition Based on the Non-Cooperative and Cooperative Game Theory
    Goodarzi, E. Vaziri
    Houshmand, M.
    Valilai, O. Fatahi
    Ghezavati, V
    Bamdad, S.
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEE IEEM), 2020, : 1122 - 1125
  • [10] Pose measurement of non-cooperative spacecraft based on point cloud
    Chen, Zhiming
    Li, Lei
    Niu, Kang
    Wu, Yunhua
    Hua, Bing
    [J]. 2018 IEEE CSAA GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC), 2018,