Mobile cloud computing (MCC) is a new converged computing paradigm. The central idea of MCC is to use powerful backend computing nodes to enhance capabilities of small devices. An effective approach to realize this is to use task migrations. There are already a number of research efforts to MCC helping to make decisions for task migrations. In this paper, we make a short survey on decision making for task migrations in MCC. From the survey we found that there are still some challenges such as comprehensive context-awareness, migration standards, and large scale experiments and good algorithms are needed to support task migration. The objective of this paper is to highlight these issues and challenges to attract more efforts to these questions.
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