1. Commonly, the term mobile cloud computing means to run an application such as Google’s Gmail for Mobile6 on a remote resource rich server (in this case, Google servers) as displayed in Fig. 1,7 while the mobile device acts like a thin client connecting over to the remote server through 3G. Some other examples of this type are Facebook’s location aware services, Twitter for mobile, mobile weather widgets etc.
2. Another approach is to consider other mobile devices themselves too as resource providers of the cloud making up a mobile peer-to-peer network as in [14]. Thus, the collective resources of the various mobile devices in the local vicinity, and other stationary devices too if available, will be utilized as shown in Fig. 2. This approach supports user mobility, and recognizes the potential of mobile clouds to do collective sensing as well. Peerto - peer systems such as SATIN [26] for mobile self-organizing exist, but these are based on component model systems representing systems made up of interoperable local components rather than offloading jobs to local mobile resources. This paper focuses primarily on this latter type of work.
1. Commonly, the term mobile cloud computing means to run an application such as Google’s Gmail for Mobile6 on a remote resource rich server (in this case, Google servers) as displayed in Fig. 1,7 while the mobile device acts like a thin client connecting over to the remote server through 3G. Some other examples of this type are Facebook’s location aware services, Twitter for mobile, mobile weather widgets etc.
2. Another approach is to consider other mobile devices themselves too as resource providers of the cloud making up a mobile peer-to-peer network as in [14]. Thus, the collective resources of the various mobile devices in the local vicinity, and other stationary devices too if available, will be utilized as shown in Fig. 2. This approach supports user mobility, and recognizes the potential of mobile clouds to do collective sensing as well. Peerto - peer systems such as SATIN [26] for mobile self-organizing exist, but these are based on component model systems representing systems made up of interoperable local components rather than offloading jobs to local mobile resources. This paper focuses primarily on this latter type of work.
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