Paper Info
Title
Dynamic software deployment from clouds to mobile devices
Abstract
With the functionality of mobile applications ever increasing, designers are often confronted with either the resource limitations of the devices or of the network. As pointed out by recent work, application partitioning between mobile devices and clouds, can be used to solve some of these issues, improving performance and/or battery life. In this paper, we argue that the static decisions made in existing work cannot leverage the full potential of application partitioning. Thus, to allow for variations in the execution environment, we have developed a system that dynamically adapts the application partition decisions. The system works by continuously profiling an applications performance and dynamically updating its distributed deployment to accommodate changes in the network bandwidth, devices CPU utilization, and data loads. Using several real applications, we show that our approach provides performance gains as high as 75% over traditional approaches and achieves lower power consumption by a factor close to 45%.
Year
DOI
Venue
2012
10.1007/978-3-642-35170-9_20
Middleware
Keywords
Field
DocType
real application,applications performance,network bandwidth,mobile device,devices cpu utilization,application partition decision,dynamically adapts,mobile application,application partitioning,dynamic software deployment,performance gain,modularity
Mobile cloud computing,Software deployment,CPU time,Profiling (computer programming),Computer science,Bandwidth (signal processing),Mobile device,Battery (electricity),Modularity,Distributed computing
Conference
Citations 
PageRank 
References 
22
0.84
23
Authors
3
Name
Order
Citations
PageRank
Ioana Giurgiu121314.09
Riva265439.32
Gustavo Alonso35476612.79