Abstract
Cloud computing services enable virtual services with physical resources consisting of workstations and clusters having storages, processes, and memories. Unlike general resources, mobile devices have such features as miniaturized hardware, embedded sensors, and touch screen. Furthermore, mobile devices have mobility and portability which are lacking in general workstations and clusters. Mobile cloud computing services organize physical resources with mobile devices which have low hardware performance and are sporadically connected to the network. Therefore, it is difficult to integrate resources if they are organized as in general cloud computing services. Resource pooling management is required to manage and provide the resources of mobile devices dynamically in an integrated manner and provide them to users without work loss. This research proposes Mobile Resource Integration – Manager (MRI-M) which checks and manages the resource status of mobile devices in mobile cloud computing services and considers the organization of resource pooling.
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Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(NRF-2014R1A1A2053564). And also This research was supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2016-H8501-16-1014) supervised by the IITP(Institute for Information & communications Technology Promotion), And also This work was supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIP) (No. R7120-16-1006, Resource Integration Management Solution with On-premises Legacy for Intra-Cloud). And also This research was supported by the MISP(Ministry of Science, ICT & Future Planning), Korea, under the National Program for Excellence in SW (R7116-16-1014) supervised by the IITP(Institute for Information & communications Technology Promotion)(R7116-16-1014).
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Han, SH., Kim, HW., Jeong, YS. (2017). Resource Pooling Mechanism for Mobile Cloud Computing Service. In: Park, J., Pan, Y., Yi, G., Loia, V. (eds) Advances in Computer Science and Ubiquitous Computing. UCAWSN CUTE CSA 2016 2016 2016. Lecture Notes in Electrical Engineering, vol 421. Springer, Singapore. https://doi.org/10.1007/978-981-10-3023-9_26
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DOI: https://doi.org/10.1007/978-981-10-3023-9_26
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