Paper Info
Title
Characterization of the impact of resource availability on opportunistic computing
Abstract
With opportunistic computing, devices are no longer restricted to using their own services and resources, but can access services and resources made available by other devices. The performance of opportunistic computing is greatly affected by the resource topology in the network: what resources/services are available, as well as when and where they can be tapped. This paper presents a preliminary investigation of the impact of the resource availability on the performance of opportunistic computing. Specifically, we propose a metric called Expected Resource Availability, ERA, that attempts to capture the impact of the topology of services and resources. The ERA offers a proxy for the applicability of opportunistic computing schemes to a given network: if the ERA is low, any opportunistic scheme can be expected to fail due to a sheer lack of resources and/or connectivity among them. On the other hand, if the ERA is high, success can be expected. To gain perspective on the properties of the ERA, we tackle the problem of service allocation in opportunistic computing, which suffers to combinatorial explosion when looking for the optimal solution. We also present some preliminary simulation results that confirm the validity of the ERA as a metric to gauge whether opportunistic computing can be achieved in a given network.
Year
DOI
Venue
2012
10.1145/2342509.2342517
MCC@SIGCOMM
Keywords
Field
DocType
service allocation,own service,opportunistic computing,preliminary simulation result,opportunistic computing scheme,optimal solution,opportunistic scheme,preliminary investigation,resource availability,resource topology,computer sciences
Computer science,Utility computing,Combinatorial explosion,Distributed computing
Conference
Citations 
PageRank 
References 
4
0.44
17
Authors
3
Name
Order
Citations
PageRank
Alan Ferrari1334.67
Daniele Puccinelli223319.40
Silvia Giordano3103790.24