Paper Info
Title
Performance characterization and scalable design of sensing-as-a-service platform
Abstract
Advancements and proliferation of sensing and actuation technologies in diverse computing and physical devices call for a flexible Sensing-as-a-Service Platform (SeaaS-P) that can enable massive-scale next generation applications. A key aspect of such a platform, which has been largely unexplored in terms of applicability at a massive scale, is the notification system (e.g. city incident notification) to send event alerts to subscribers. Conventional event-based systems (e.g. publish-subscribe) typically trigger notifications with every event arrival. Observations based on deployment of even a simple SeaaS-P instantiation (with just mobile based event reporting at a very large scale) show resources (e.g. CPU) can become bottleneck and get overused when event rates and number of subscriptions go beyond certain thresholds. Thus, it may be necessary to opportunistically delay the notification, i.e. not send the notifications with every event update (e.g., time-triggered periodic notifications), depending on the delay-tolerance of the application. This paper proposes a: (i) performance profiling of SeaaS-P in terms of resource utilizations and % notification drop; and (ii) design framework to determine the design boundaries of SeaaS-P notification system for both event-triggered and time-triggered notifications.
Year
DOI
Venue
2015
10.1145/2695664.2696042
SAC 2015: Symposium on Applied Computing Salamanca Spain April, 2015
Keywords
Field
DocType
Sensing-as-a-Service Platform, Event Based System, Performance, Modelling, Scalability
Bottleneck,Design framework,Software deployment,Computer science,Profiling (computer programming),Computer network,Real-time computing,Scalable design,Notification system,Scalability
Conference
ISBN
Citations 
PageRank 
978-1-4503-3196-8
1
0.37
References 
Authors
2
6
Name
Order
Citations
PageRank
Tridib Mukherjee111.05
Amit Kumar210.37
Deepthi Chander3446.01
Koustuv Dasgupta462646.44
Amandeep Chugh592.30
Anirban Mondal638631.29