Conclusion
This paper discusses three main concepts: (1) cloud computing, (2) mobile cloud computing, and (3) computation offloading. More specifically, it presents existing frameworks for computa tion offloading along with the various techniques used to enhance the capabilities of smartphone devices based on the available cloud resources. The paper investigates the different issues in current offloading frameworks and highlights challenges that still obstruct these frameworks in MCC. Moreover, 880 the paper shows the different approaches that are used by the frameworks to achieve offloading. Some of these approaches use static offloading while others employ dynamic offloading. Even though there exist a variety of approaches, all of them 884 target the same objective which is the improvement of the smartphone device capabilities by saving energy, reducing response time, or minimizing the execution cost. We notice that current offloading frameworks are still facing some challenges and difficulties. For instance, lack of standard architectures. This shortage leads to more complications while developing and managing a proposed framework. Finally, it is important to come up with a lightweight paradigm or model that will help to overcome the difficulties and minimizing efforts while developing, deploying, and managing an offloading framework. We believe that exploring other alternatives, such as introducing a middleware based architecture using an optimizing offloading algorithm, could help better the available frame works and provide more efficient and more flexible solutions to the MCC users.
