Proceedings ArticleDOI
Augmented Execution in Mobile Cloud Computing: A Survey
Vandana Jagtap,Karishma Pawar,Ajeet Ram Pathak +2 more
- pp 237-244
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TLDR
The given survey paper focuses on the partitioning techniques in mobile cloud computing, namely, augmented execution, which alleviates the problem of resource scarcity of smartphone.Abstract:
As the technology is developing with a huge rate, the functionality of smartphone is also getting higher. But the smartphones have some resource constraints like processing power, battery capacity, limited bandwidth for connecting to the Internet, etc. Therefore, to improve the performance of smartphone in terms of processing power, battery and memory, the technology namely, augmented execution is the best solution in the mobile cloud computing (MCC) scenario. Mobile cloud computing works as the combination of mobile computing and cloud computing. Augmented execution alleviates the problem of resource scarcity of smartphone. To get the benefits from the resource-abundant clouds, massive computation intensive tasks are partitioned and migrated to the cloud side for the execution. After executing the task at the cloud side, the results are sent back to the smartphone. This method is called as the computation offloading. The given survey paper focuses on the partitioning techniques in mobile cloud computing.read more
Citations
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Proceedings ArticleDOI
Computation offloading frameworks in mobile cloud computing : a survey
Shantanu Deshmukh,Rinku Shah +1 more
TL;DR: This paper surveys recent computation offloading frameworks to determine and analyze the factors which affect the wide acceptance of these frameworks, and proposes new models and frameworks to offload resource intensive components of applications to cloud for efficient execution.
Proceedings ArticleDOI
A survey on Data Analytic Platforms for Internet of Things
Karishma Pawar,Vahida Attar +1 more
TL;DR: The fully matured cloud computing technology best fit the scenario of IoT and big data analytics offering powerful resources to carry out analytical and management tasks.
Book ChapterDOI
AFMEACI: A Framework for Mobile Execution Augmentation Using Cloud Infrastructure
TL;DR: A scalable, fault-tolerant framework for dynamically and optimally partition the application using the proposed genetic algorithm to alleviate the resource scarcity problem of the mobile devices.
Journal ArticleDOI
A new energy-preserving cloud offloading algorithm for smart mobile devices
TL;DR: A new energy-preserving cloud offloading algorithm is proposed which is capable of estimating an application's computation time with high correlations compared with the real execution time and improves the offloading decision which actually preserves the energy and reduces the execution time of mobile applications.
Dissertation
A Collaborative Mobile Sensing Framework using Mobile CloudComputing
TL;DR: This research utilizes the scalability and processing capabilities of MCC to present an intelligent framework that readily supports collaborative sensing and provides efficient collection of the sensed data, whilst conserving the energy of the mobile devices and meeting the performance constraints of applications.
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