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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bouloukakis, G. Agarwal, R. Georgantas, N. Pathak, A. Issarny, V. |
| Copyright Year | 2015 |
| Description | Author affiliation: MiMove Team, Inria Paris, Rocquencourt, France (Bouloukakis, G.; Agarwal, R.; Georgantas, N.; Pathak, A.; Issarny, V.) |
| Abstract | Large-scale mobile environments are characterized by, among others, a large number of mobile users, intermittent connectivity and non-homogeneous arrival rate of data to the users, depending on the region's context. Multiple application scenarios in major cities need to address the above situation for the creation of robust mobile systems. Towards this, it is fundamental to enable system designers to tune a communication infrastructure using various parameters depending on the specific context. In this paper, we take a first step towards enabling an application platform for large-scale information management relying on `mobile social crowd-sourcing'. To inform the stakeholders of expected loads and costs, we model a large-scale mobile pub/sub system as a queueing network. We introduce additional timing constraints such as (i) mobile user's intermittent connectivity period; and (ii) data validity lifetime period (e.g. that of sensor data). Using our MobileJINQS simulator, we parameterize our model with realistic input loads derived from the D4D dataset (CDR) and varied lifetime periods in order to analyze the effect on response time. This work provides system designers with coarse grain design time information when setting realistic loads and time constraints. |
| Sponsorship | IEEE |
| Starting Page | 596 |
| Ending Page | 603 |
| File Size | 3132452 |
| Page Count | 8 |
| File Format | |
| e-ISBN | 9781467377010 |
| DOI | 10.1109/WiMOB.2015.7348016 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-19 |
| Publisher Place | United Arab Emirates |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Context Analytical models Call Detail Records Large-Scale Context-Rich Mobile communication Data models Publish/Subscribe Queueing Networks Antennas Mobile computing Context modeling |
| Content Type | Text |
| Resource Type | Article |
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