Abstract-The rise in popularity of mobile applications creates a growing demand to deliver richer functionality to users executing on mobile devices with limited resources. The availability of cloud computing platforms has made available unlimited and scalable resource pools of computation and storage that can be used to enhance service quality for mobile applications. This paper exploits the observation that using local resources in close proximity to the user, i.e. local clouds, can increase the quality and performance of mobile applications. In contrast, public cloud offerings (e.g. Amazon Web Services) offer scalability at the cost of higher delays, higher power consumption and higher price on the mobile device. In this paper we introduce MAPCloud, a hybrid, tiered cloud architecture consisting of local and public clouds and show how it can be leveraged to increase both performance and scalability of mobile applications. We model the mobile application as a workÀow of tasks and aim to optimally decompose the set of tasks to execute on the mobile client and 2-tier cloud architecture considering multiple QoS factors such as power, price, and delay. Such an optimization is shown to be NP-Hard; we propose an ef¿cient simulated annealing based heuristic, called CRAM that is able to achieve about 84% of optimal solutions when the number of users is high. We evaluate CRAM and the 2-tier approach via implementation (on Android G2 devices and Amazon EC2, S3 and CloudFront) and extensive simulation using two rich mobile applications( Video-Content Augmented Reality and Image processing). Our results indicate that MAPCloud provides improved scalability as compared to local clouds, improved ef¿ciency (power/delay) (about 32% lower delays and power) and about 40% decrease in price in comparison to only using public cloud.
Regarding the scalability advantage of public clouds and better QoS especially delay and power consumption of local clouds, MAPCloud is proposed in REF .
MAPCloud: Mobile Applications on an Elastic and Scalable 2-Tier Cloud Architecture
2012 IEEE Fifth International Conference on Utility and Cloud Computing
2012 IEEE Fifth International Conference on Utility and Cloud Computing
Computer Science