Paper Info
Title
Exploiting User Interest in Data-Driven Cloud-Based Mobile Optimization
Abstract
In this paper, we present our vision for data-driven cloud-based mobile computing. We identify the concept of Region of interest (RoI) that reflects the profile of the user in how they access information or interact with applications. Such information enables a series of data-driven optimizations: filtering, aggregation, and speculation, that go beyond the well-researched benefit of mobile outsourcing. These optimizations can improve performance, reliability, and energy usage. A novel aspect of our approach is to exploit the unique ability of the cloud to collect and analyze large amounts of user profile data, cache shared data, and even enable sharing of computations, across different mobile users. We implement two exemplar mobile-cloud applications on an Android/Amazon Elastic Cloud Compute (EC2)-based mobile outsourcing platform, that utilize the RoI abstraction for data-driven optimizations. We presentresults driven by workload traces derived from Twitter feeds and Wikipedia document editing to illustrate the opportunities of using such optimizations.
Year
DOI
Venue
2014
10.1109/MobileCloud.2014.30
MobileCloud
Keywords
Field
DocType
optimization,collaboration,cloud computing,region of interest,outsourcing,software reliability,mobile communication,mobile computing
Mobile computing,Mobile search,Android (operating system),User profile,Computer science,Cache,Outsourcing,Mobile database,Operating system,Distributed computing,Cloud computing
Conference
Citations 
PageRank 
References 
2
0.36
15
Authors
5
Name
Order
Citations
PageRank
John Kolb1352.97
William Myott220.36
T. Nguyen3407.53
Abhishek Chandra4104590.02
Jon Weissman523525.84