Authors: Mohammad Mehedi Hassan M Anwar Hossain Mohammad AbdullahAlWadud Tsaheel AlMudaihesh Sultan Alyahya Abdullah Alghamdi
Publish Date: 2015/09/16
Volume: 18, Issue: 4, Pages: 1539-1548
Abstract
In this paper we present a scalable and elastic contentbased publish/subscribe model over cloud computing platform to support a smart flexible and ubiquitous IPTV video surveillance system Through this system users of a surveillance system can subscribe to many surveillance events and receive video streams as a notification of new event occurring This has direct impact on the way surveillance activities are carried out in different application domains including public safety and security healthcare surveillance etc In the publish/subscribe model it is challenging to match the events with the subscriptions efficiently that contains a large number of live contents Existing algorithms on event matching are not very effective in the case of range predicates in subscriptions that are commonly used in IPTV video surveillancebased healthcare system and other areas This paper addresses the aforementioned issue and propose an elastic and scalable algorithm for event matching in IPTV video surveillance over cloud platform We also show the performance assessment of the proposed event matching algorithm in cloudbased IPTV video surveillance scenario and compare with various stateoftheart approaches
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