Paper Info
Title
Benchmark based 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 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) benchmark based 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
2014
10.1145/2678508.2678522
Middleware '14: 15th International Middleware Conference Bordeaux France December, 2014
Keywords
Field
DocType
middleware,optimization
Middleware,Bottleneck,Design framework,Cloud systems,Profiling (computer programming),Computer network,Scalable design,Notification system,Engineering,Embedded system
Conference
ISBN
Citations 
PageRank 
978-1-4503-3220-0
0
0.34
References 
Authors
10
6
Name
Order
Citations
PageRank
Tridib Mukherjee142831.57
Amit Kumar231040.43
Deepthi Chander3446.01
Koustuv Dasgupta462646.44
Amandeep Chugh592.30
Anirban Mondal638631.29