Service architecture for multi-environment mobile cloud services

Abstract

The growth of connected devices, mostly due to the large number of Internet of Things (IoT) deployments and the emergence of mobile Cloud services, introduces new challenges for the design of service architectures in Mobile Cloud Computing (MCC). An MCC framework should provide elasticity and scalability in a distributed and dynamic way while dealing with limited environment resources and variable mobile contexts (Web applications, realtime, enterprise services, mobile to mobile, hostile environment, etc.) that may include additional constraints impacting the design foundation of Cloud services. We show in this work how Service Oriented Architecture (SOA) can be a key solution to provide distributed mobile Cloud services and how OSGi platform can be an adaptive and efficient framework to provide such implementation. We adapt the proposed MCC framework to different architecture contexts. The first one is a traditional centric model, where mobile devices are reduced to consuming services. The second one is a distributed model where the power of mobile-tomobile interaction offers unlimited value-services opportunities, and finally three-tier architecture is considered with the introduction of the Cloudlet notion. For each context, we explore the performance of our service oriented framework, and contrast it with alternative existing solutions.

Energy Efficiency in Mobile Cloud Computing Architectures

“…On the other hand, with installed Java virtual machine and OSGi framework on each node [17], applications supporting OSGi can interact with a proxy bundle which is generated dynamically with the exported methods without transferring any heavy code. As a result, running bundle in OSGi framework is the fastest solution in term of time-consuming.…”

“…In the following, we will explore three interaction models. The first discussed architecture relies on OSGi framework proposed by [17] for MCC architecture. The second approach is based on the overlay notion proposed by [18] to avoid heavy offloading.…”

“…Through Open Service Gateway initiative (OSGi) platform, Houacine et al in [17] demonstrated the possibility of building a Cloud with mobile devices such as Android smartphones to provide basic functions and services. In the OSGi approach, the OSGi framework provides an environment for the modularization of applications into smaller components called bundles.…”

Risk Control for Knowledge Transfer in the Big Data Environment

“…The risk of big data knowledge transfer is mainly caused by the infringement of privacy and intellectual property rights [50]- [51]. To cope with this type of risk, firms can transfer knowledge from big data knowledge providers via service outsourcing [52]- [53]. This method not only can help firm to avoid intellectual property disputes, but also can reduce the cost of big data knowledge.…”