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In this paper, we present a Fragmented Hybrid Cloud (FHC) that provides aunified view of multiple geographically distributed private cloud datacenters.FHC leverages a fragmented usage model in which outsourcing is bi-directionalacross private clouds that can be hosted by static and mobile entities. Themobility aspect of private cloud nodes has important impact on the FHCperformance in terms of latency and network throughput that are reverselyproportional to time-varying distances among different nodes. Mobility alsoresults in intermittent interruption among computing nodes and network links ofFHC infrastructure. To fully consider mobility and its consequences, weimplemented a layered FHC that leverages Linux utilities and bash-shellprogramming. We also evaluated the impact of the mobility of nodes on theperformance of distributed databases as a result of time-varying latency andbandwidth, downsizing and upsizing cluster nodes, and network accessibility.The findings from our extensive experiments provide deep insights into theperformance of well-known big data databases, such as Cassandra, MongoDB,Redis, and MySQL, when deployed on a FHC.

Design and Implementation of Fragmented Clouds for Evaluation of Distributed Databases