Dummynet: a simple approach to the evaluation of network protocols
ACM SIGCOMM Computer Communication Review
PRISM: platform for remote sensing using smartphones
Proceedings of the 8th international conference on Mobile systems, applications, and services
Anatomizing application performance differences on smartphones
Proceedings of the 8th international conference on Mobile systems, applications, and services
The impact of virtualization on network performance of amazon EC2 data center
INFOCOM'10 Proceedings of the 29th conference on Information communications
CloudCmp: comparing public cloud providers
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
Code in the air: simplifying sensing and coordination tasks on smartphones
Proceedings of the Twelfth Workshop on Mobile Computing Systems & Applications
A close examination of performance and power characteristics of 4G LTE networks
Proceedings of the 10th international conference on Mobile systems, applications, and services
Medusa: a programming framework for crowd-sensing applications
Proceedings of the 10th international conference on Mobile systems, applications, and services
Bobtail: avoiding long tails in the cloud
nsdi'13 Proceedings of the 10th USENIX conference on Networked Systems Design and Implementation
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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.