TY - GEN
T1 - Opportunities for data-driven cloud-based mobile optimization
AU - Myott, William
AU - Nguyen, Thao
AU - Chandra, Abhishek
AU - Karypis, George
AU - Weissman, Jon
PY - 2014
Y1 - 2014
N2 - In this paper, we present our vision for cloud-based mobile computing using user profile information. 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 present results for two exemplar mobile-cloud applications, driven by workload traces derived from Twitter feeds and Wikipedia document editing, to illustrate these opportunities.
AB - In this paper, we present our vision for cloud-based mobile computing using user profile information. 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 present results for two exemplar mobile-cloud applications, driven by workload traces derived from Twitter feeds and Wikipedia document editing, to illustrate these opportunities.
UR - http://www.scopus.com/inward/record.url?scp=84906254068&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906254068&partnerID=8YFLogxK
U2 - 10.1109/CTS.2014.6867611
DO - 10.1109/CTS.2014.6867611
M3 - Conference contribution
AN - SCOPUS:84906254068
SN - 9781479951567
T3 - 2014 International Conference on Collaboration Technologies and Systems, CTS 2014
SP - 483
EP - 487
BT - 2014 International Conference on Collaboration Technologies and Systems, CTS 2014
PB - IEEE Computer Society
T2 - 2014 15th International Conference on Collaboration Technologies and Systems, CTS 2014
Y2 - 19 May 2014 through 23 May 2014
ER -