Abstract
The purpose of this study is to identify the risks associated with job migration from private to public cloud. Meeting the resource requirements of a particular task in the private environment causes only minimal exposure of the core applications to public cloud. The potential risk issues to the private data and applications can thus be minimized. However, risks are significantly higher when core applications are migrated to public cloud. This places high importance on accurate identification of risk factor in job migration is extremely important. This report proposes to identify categories of risk arising from internal and external environment. This will require use of mitigating strategies to eliminate risk factors associated with the phases of a job migration. Such migration is achieved by taking in to account the roles of the dedicated users and set of common constraints. The findings from this research results indicate that safe job migration can be achieved with effective risk management and mitigation techniques.
| Original language | English |
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| Title of host publication | Proceedings - 2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering |
| Subtitle of host publication | Mobile Cloud 2016 |
| Place of Publication | United States |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 53-59 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781509017546 |
| DOIs | |
| Publication status | Published - 19 May 2016 |
| Event | IEEE Mobile Cloud 2016: The 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering - Exeter College, Oxford, United Kingdom Duration: 29 Mar 2016 → 01 Apr 2016 https://web.archive.org/web/20160323085343/http://mobile-cloud.net/call-for-papers/ (Conference website) |
Conference
| Conference | IEEE Mobile Cloud 2016 |
|---|---|
| Country/Territory | United Kingdom |
| City | Oxford |
| Period | 29/03/16 → 01/04/16 |
| Other | The 4th IEEE Mobile Cloud conference seeks to present original and timely research related to the design, implementation, analysis, evaluation, and deployment of mobile cloud systems, services, and applications. The integration of mobile computing and sensing with cloud computing enables new applications that process big data collected from the physical world, and have an impact on almost every aspect of our daily life, including transportation, healthcare, safety, smart cities, social interaction, etc. This conference will provide a great platform to allow researchers in academia and industry to exchange their latest research results and development activities on mobile cloud computing. Its primary objective is to share the latest research ideas and results, as well as the emerging industry technologies in mobile cloud computing. |
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