Optimal Cloud Broker Method for Cloud Selection in Mobile Inter-Cloud Computing

被引:1
|
作者
Carvalho, Glaucio H. S. [1 ]
Woungang, Isaac [2 ]
Anpalagan, Alagan [3 ]
Barolli, Leonard [4 ]
Takizawa, Makoto [5 ]
机构
[1] Fed Univ Para, Fac Comp, Belem, Para, Brazil
[2] Ryerson Univ, Dept Comp Sci, Toronto, ON, Canada
[3] Ryerson Univ, Dept Elect & Comp Engn, Toronto, ON, Canada
[4] Fukuoka Inst Technol, Fac Informat Engn, Dept Informat & Commun Engn, Fukuoka, Japan
[5] Hosei Univ, Dept Adv Sci, Tokyo, Japan
关键词
Mobile cloud computing; cloud Broker; SMDP; optimal policy;
D O I
10.1109/IMIS.2015.37
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In the next generation of Cloud computing systems (so-called Inter-Cloud), it is expected that multiple Cloud Service Providers (CSPs) will collaborate or cooperate together to form the so-called Cloud Market, with the goal to advertise their services and associate prices to their end users. In this environment, mobile users will be able to better negotiate and select the CSP that better suits their budgetary and technical needs in a more flexible manner. However, despite the benefit of having multiple CSPs to choose from, mobile users will have to cope with several issues; for instance, that of selecting a suitable CSP to handle the incoming service request from the users. To address this problem, this paper proposes an optimal Cloud Broker. The role played by the optimal Cloud Broker is to provide the best possible match for mobile users and CSPs. The Cloud Broker design is formulated by using the framework of Semi-Markov Decision Process (SMDP). Considering the average cost criterion as the optimality criterion, the Value Iteration Algorithm is used to find the optimal Broker policy. Numerical results are presented, demonstrating the effectiveness of our proposed Broker design, in a scenario where a wireless service provider has its own Cloudlet and a Service level Agreement (SLA) has been established with a public CSP to handle the overload occurrences.
引用
收藏
页码:239 / 244
页数:6
相关论文
共 50 条
  • [1] Inter-Cloud Computing
    Tomonori Aoyama
    Hiroshi Sakai
    [J]. Business & Information Systems Engineering, 2011, 3 : 173 - 177
  • [2] Inter-Cloud Computing
    Aoyama, Tomonori
    Sakai, Hiroshi
    [J]. BUSINESS & INFORMATION SYSTEMS ENGINEERING, 2011, 3 (03): : 173 - 177
  • [3] Stochastic Game between Cloud Broker and Cloudlet for Mobile Cloud Computing
    Zhang, Fenghui
    Liu, Yuan
    Liu, Weirong
    Liang, Hao
    Zang, Yi
    Fu, Maosheng
    [J]. 2017 IEEE 86TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), 2017,
  • [4] Intra-Cloud and Inter-Cloud Authentication
    Walsh, Kevin
    Manferdelli, John
    [J]. 2017 IEEE 10TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), 2017, : 318 - 325
  • [5] ICIF: an inter-cloud interoperability framework for computing resource cloud providers in factories of the future
    Nodehi, Tahereh
    Jardim-Goncalves, Ricardo
    Zutshi, Aneesh
    Grilo, Antonio
    [J]. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2017, 30 (01) : 147 - 157
  • [6] An inter-cloud bridge system for heterogeneous cloud platforms
    Sotiriadis, Stelios
    Bessis, Nik
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2016, 54 : 180 - 194
  • [7] The young inter-cloud population
    Demers, S
    [J]. MODES OF STAR FORMATION AND THE ORIGIN OF FIELD POPULATIONS, PROCEEDINGS, 2002, 285 : 401 - 405
  • [8] Inter-Cloud Architecture and Media Cloud Storage Design Considerations
    Aazam, Mohammad
    Huh, Eui-Nam
    [J]. 2014 IEEE 7TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), 2014, : 982 - 985
  • [9] Adaptive Service Selection Method in Mobile Cloud Computing
    Wu Qing
    Li Zhenbang
    Yin Yuyu
    Zeng Hong
    [J]. CHINA COMMUNICATIONS, 2012, 9 (12) : 46 - 55
  • [10] A Computing Resource Selection Approach Based on Genetic Algorithm for Inter-Cloud Workload Migration
    Nodehi, Tahereh
    Ghimire, Sudeep
    Jardim-Goncalves, Ricardo
    [J]. MOVING INTEGRATED PRODUCT DEVELOPMENT TO SERVICE CLOUDS IN THE GLOBAL ECONOMY, 2014, 1 : 271 - 277