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