TY - GEN
T1 - An autonomic resource provisioning framework for mobile computing grids
AU - Viswanathan, Hariharasudhan
AU - Lee, Eun Kyung
AU - Rodero, Ivan
AU - Pompili, Dario
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - Enabling data- and compute-intensive applications that require realtime in-the-field data collection and processing using mobile platforms is still a significant challenge due to i) the insufficient computing capabilities and unavailability of complete data on individual mobile devices and ii) the prohibitive communication cost and response time involved in offloading data to remote computing resources such as clouds for centralized computation. A novel resource provisioning framework is proposed for organizing the heterogeneous sensing, computing, and communication capabilities of static and mobile devices in the vicinity in order to form an elastic resource pool (a heterogeneous mobile computing grid) that can be harnessed to collectively process massive amounts of locally generated data in parallel. The proposed framework is imparted with autonomic capabilities, namely, self-optimization and self-organization, in order to be energy and uncertainty aware, respectively, in the dynamic mobile environment.
AB - Enabling data- and compute-intensive applications that require realtime in-the-field data collection and processing using mobile platforms is still a significant challenge due to i) the insufficient computing capabilities and unavailability of complete data on individual mobile devices and ii) the prohibitive communication cost and response time involved in offloading data to remote computing resources such as clouds for centralized computation. A novel resource provisioning framework is proposed for organizing the heterogeneous sensing, computing, and communication capabilities of static and mobile devices in the vicinity in order to form an elastic resource pool (a heterogeneous mobile computing grid) that can be harnessed to collectively process massive amounts of locally generated data in parallel. The proposed framework is imparted with autonomic capabilities, namely, self-optimization and self-organization, in order to be energy and uncertainty aware, respectively, in the dynamic mobile environment.
KW - Autonomic management
KW - Mobile grids
KW - Uncertainty
UR - http://www.scopus.com/inward/record.url?scp=84867696593&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867696593&partnerID=8YFLogxK
U2 - 10.1145/2371536.2371550
DO - 10.1145/2371536.2371550
M3 - Conference contribution
AN - SCOPUS:84867696593
SN - 9781450315203
T3 - ICAC'12 - Proceedings of the 9th ACM International Conference on Autonomic Computing
SP - 79
EP - 83
BT - ICAC'12 - Proceedings of the 9th ACM International Conference on Autonomic Computing
T2 - 9th ACM International Conference on Autonomic Computing, ICAC'12
Y2 - 18 September 2012 through 20 September 2012
ER -