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Context
Aware Mobile Cloud Computing: Review

Abstract- Mobile Cloud Computing has been
worldwide accepted as a concept that can significantly improve the user experience
when accessing mobile services. Mobile applications have become more popular
all across the world. By removing the limitations of mobile devices with
respect to storage and computing capabilities and providing new integrated
levels of security by centralized maintenance of security-critical software,
e.g., mobile payment applications, it is expected that it will find broad
acceptance on the business as well as consumer side. Studies indicate that
Mobile Cloud Computing (MCC) will additionally help to make visions of context-aware
services as real world applications. However, Mobile Cloud Computing concepts
rely on an always-on connectivity and will need to provide a scalable and when requested
high-quality mobile access. A review study has been done on Mobile Cloud
Computing. It exploits the specific information available by the “Mobile Cloud
Controller”, i.e., the users’ location, context, and requested services, and significantly
evolves the Heterogeneous Access Management schemes developed for the
traditional heterogeneous access scenarios. In order to evaluate the
performance of these intelligent radio access management concepts in the framework
of Mobile Cloud Computing, a specialized radio network simulator will be
introduced. It will be revealed that a Mobile Cloud Controller establishing Context
Management

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Architecture (CMA) can provide the requested
availability and quality of mobile connectivity. In this paper a comprehensive
review has been carried out in the context of Mobile Cloud Computing.

 Keywords-
Mobile cloud computing; Context quality enabler; MobiLife; Heterogeneous access
management (HAM).

 

6. Conclusion

 

Computation offloading
scenarios in opportunistic networks have been shown to be a promising approach
to overcome the limitations of mobile devices and enhance the user experience.
But especially availability, scalability and security in heterogeneous
environments are considered highly relevant and complex issues to be targeted,
before the vision of unlimited computation power at hands can become reality.
Still, there is neither an MCC solution nor a cloudlet infrastructure available
so far. It has been argued that major reasons for that are the lack of proper
development support and also missing standards to integrate the diverse
spectrum of different devices currently present in the domain of MCC. Moreover,
the effects of limited bandwidth, intermittent connectivity, and frequent
changes of available resources cause further obstacles to the widespread use of
MCC so far. Consequently, this paper first presented an extensive list of
requirements, based on ISO criteria for software quality and a set of typical
use cases. Further on, several categories of representative MCC-approaches were
presented and their respective fulfillment of requirements as identified before
was evaluated. Among these, especially the requirement of context adaptation
has been highlighted. Finally, to contribute to the development of
MCC-applications, this paper highlighted interesting approaches to follow and
presented a design guideline for the development of MCC solutions with a
special focus on the main obstacles, namely efficient offloading and proper
context adaptation. Yet, there is no ready-to-use solution available in the
market, which we believe is due to the lack of proper development support,
missing infrastructure and the absence of the “killer app” relying on cloud
augmentation. Furthermore, effective programming abstractions for proper
context adaptation are required to unleash the full potential of MCC and will
still require further research efforts.

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