Risk-Aware Data Processing in Hybrid Clouds

摘要: Abstract : This paper explores query processing in a hybrid cloud model where user's local computing capability is exploited alongside public services to deliver an efficient and secure data management solution. Hybrid clouds offer numerous economic advantages including the ability better manage privacy confidentiality, as well exerting control on monetary expenses of consuming by exploiting resources. Nonetheless, introduces challenges, foremost which is, how partition computation between private components cloud. The solution must account for characteristics workload that will be executed, costs associated with acquiring/operating risks affiliated storing sensitive proposes principled framework distributing meets conflicting goals performance, disclosure risk resource allocation cost. proposed implemented add-on tool Hadoop Hive based infrastructure.