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This paper identifies the cause of the failures and discusses performance issues of mobile cloud clusters in the following section.
To the best of our knowledge, there has been no comparable framework and performance analysis for practical mobile cloud clusters running distributed analytic applications.
Based on the performance studies, our future work will propose adaptive TCP algorithms for enhanced analytic performance of mobile cloud clusters.
This study performs experiments based on the following assumptions on the basic, common configuration of practical mobile cloud clusters for ad hoc analytics.
Section "Performance analysis of Hadoop mobile clusters" provides our experimental observations on the performance of Hadoop mobile clusters with details of the experimental setup and Section "Performance issues of mobile cloud clusters" discusses performance issues of mobile distributed analytics.
Her current research interests include security measures in wireless sensor/ad hoc networks, mobile and pervasive computing, broadcast authentication in vehicular networks and performance analysis of mobile cloud clusters.
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Mobile security is a critical issue for mobile cloud computing.
Mobile cloud computing (MCC) is aimed at integrating mobile devices with cloud computing.
Mobile cloud streaming has become very popular recently.
Selecting the best mobile cloud architecture is vital for having clear decisions on the future of mobile cloud computing.
Mobile cloud computing is a new paradigm that uses cloud computing resources to overcome the limitations of mobile computing.
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