Abstract
Cloud computing offers development platforms with many benefits such as low cost application development and deployment along with minimization of maintenance and upgrades. Despite the technologys numerous advantages, health care and other application fields related with sensitive and confidential information have been reluctant to seize its offerings. This is because of the requirement for data processing data on remote cloud datacenters and therefore the transferring of sensitive data over the Internet. A solution to this problem is the reverse cloud approach that allows software to be transferred near to the data source and to be instantiated into a new cloud environment in order to eliminate the problems of processing sensitive data remotely. To achieve this we developed an innovative software to data service that allows virtual machines in the form of running instances or images to be migrated between OpenStack environments. Further, the service allows easily reconfiguration (regarding hardware features) along with monitoring and calculating of virtual machine use in the OpenStack federation.
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Acknowledgement
The research leading to these results has received funding from the European Unions Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 604691 (project FI-STAR). This work is funded also by THALES project CYBERSENSORS, co-financed by the European Social Fund (ESF) and the National Strategic Reference Framework (NSRF).
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Vakanas, L., Sotiriadis, S., Petrakis, E.G.M. (2015). Implementing the Cloud Software to Data Approach for OpenStack Environments. In: Pop, F., Potop-Butucaru, M. (eds) Adaptive Resource Management and Scheduling for Cloud Computing. ARMS-CC 2015. Lecture Notes in Computer Science(), vol 9438. Springer, Cham. https://doi.org/10.1007/978-3-319-28448-4_8
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DOI: https://doi.org/10.1007/978-3-319-28448-4_8
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