Paper Info
Title
CrowdMeter: an emulation platform for performance evaluation of crowd-sensing applications
Abstract
In this paper we introduce CrowdMeter, an emulation platform for predicting performance of large-scale crowd-sensing applications. CrowdMeter architecture follows natural decomposition of the application under evaluation and provides features for emulation of mobile devices and access network links. It leverages virtualization and cloud-based infrastructure-as-service resources to offer necessary scaling. We instantiate CrowdMeter architecture using off-the-shelf components and public-cloud resources, and perform a preliminary evaluation of its emulation fidelity focused on the communication services. The results confirm that CrowdMeter can successfully capture important aspects of real-world performance of different wireless access links. They also illustrate the ease-of-use and the scalability of the platform in terms of number of emulated mobile devices.
Year
DOI
Venue
2013
10.1145/2494091.2499578
UbiComp (Adjunct Publication)
Keywords
Field
DocType
real-world performance,preliminary evaluation,mobile device,crowdmeter architecture,cloud-based infrastructure-as-service resource,emulation fidelity,emulation platform,crowd-sensing application,different wireless access link,communication service,performance evaluation,access network link,emulation,virtualization,cloud
Virtualization,Wireless,Computer science,Emulation,Mobile device,Access network,Cloud computing,Scalability,Embedded system,Hardware emulation
Conference
Citations 
PageRank 
References 
4
0.60
12
Authors
3
Name
Order
Citations
PageRank
Manoj R. Rege1172.15
vlado handziski257050.64
Adam Wolisz32693407.71