SmartDiet: offloading popular apps to save energy

Authors:
Aki Saarinen;Matti Siekkinen;Yu Xiao;Jukka K. Nurminen;Matti Kemppainen;Pan Hui
Affiliations:
Aalto University, School of Science, Helsinki, Finland;Aalto University, School of Science, Helsinki, Finland;Aalto University, School of Science, Helsinki, Finland;Aalto University, School of Science, Helsinki, Finland;Aalto University, School of Science, Helsinki, Finland;Deutsche Telekom Labs, Berlin, Germany
Venue:
Proceedings of the ACM SIGCOMM 2012 conference on Applications, technologies, architectures, and protocols for computer communication
Year:
2012

Citing 5
Cited 1

Simplifying cyber foraging for mobile devices

Proceedings of the 5th international conference on Mobile systems, applications and services
Practical power modeling of data transmission over 802.11g for wireless applications

Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
MAUI: making smartphones last longer with code offload

Proceedings of the 8th international conference on Mobile systems, applications, and services
CloneCloud: elastic execution between mobile device and cloud

Proceedings of the sixth conference on Computer systems
Where is the energy spent inside my app?: fine grained energy accounting on smartphones with Eprof

Proceedings of the 7th ACM european conference on Computer Systems

MECCA: mobile, efficient cloud computing workload adoption framework using scheduler customization and workload migration decisions

Proceedings of the first international workshop on Mobile cloud computing & networking

Quantified Score

Hi-index	0.00

Visualization

Abstract

Offloading computation to cloud has been widely used for extending battery life of mobile devices. However, little effort has been invested in applying the offloading techniques to communication-related tasks. We propose SmartDiet, a toolkit to identify the constraints that reduce offloading opportunities and to calculate the energy-saving potential of offloading communication-related tasks. SmartDiet traces the method-level application execution and estimates the allocation of communication energy cost from traffic traces. We discuss key features of SmartDiet and show some preliminary results using a prototype implementation.