4.3 Article

Framework of Resource Management for Intercloud Computing

Journal

MATHEMATICAL PROBLEMS IN ENGINEERING
Volume 2014, Issue -, Pages -

Publisher

HINDAWI LTD
DOI: 10.1155/2014/108286

Keywords

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Funding

  1. MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program [NIPA-2014 (H0301-14-1020)]
  2. National Research Foundation of Korea (NRF) - Ministry of Education [NRF-2013R1A1A2013620]
  3. Ministry of Public Safety & Security (MPSS), Republic of Korea [H0301-14-1020] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  4. National Research Foundation of Korea [2013R1A1A2013620] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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There has been a very rapid increase in digital media content, due to which media cloud is gaining importance. Cloud computing paradigm provides management of resources and helps create extended portfolio of services. Through cloud computing, not only are services managed more efficiently, but also service discovery is made possible. To handle rapid increase in the content, media cloud plays a very vital role. But it is not possible for standalone clouds to handle everything with the increasing user demands. For scalability and better service provisioning, at times, clouds have to communicate with other clouds and share their resources. This scenario is called Intercloud computing or cloud federation. The study on Intercloud computing is still in its start. Resource management is one of the key concerns to be addressed in Intercloud computing. Already done studies discuss this issue only in a trivial and simplistic way. In this study, we present a resource management model, keeping in view different types of services, different customer types, customer characteristic, pricing, and refunding. The presented framework was implemented using Java and NetBeans 8.0 and evaluated using CloudSim 3.0.3 toolkit. Presented results and their discussion validate our model and its efficiency.

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