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Network Data Buffering for Availability Improvement of Mobile Web Applications Read chapter Read first chapter

2015 | OriginalPaper | Chapter

CSSWare: A Middleware for Scalable Mobile Crowd-Sourced Services

Authors : Ahmed Abdel Moamen, Nadeem Jamali

Published in: Mobile Computing, Applications, and Services

Publisher: Springer International Publishing

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Abstract

The growing ubiquity of a variety of personal connected computational devices – each with a number of sensors – has created the opportunity for a wide range of crowd-sourced services. A busy professional could find a restaurant to go to for a quick lunch based on information available from smartphones of other people already there. Sensors on smartphones could detect whether their owners are having lunch, waiting to be seated, or even heading there.
Although the programming required for offering a new service of this sort can be significant if done from scratch, we identify core communication mechanisms underlying such services, which can be implemented as part of a middleware. Service designers can then launch novel services over this middleware by plugging in small pieces of service-specific code.
This paper describes the multi-origin communication mechanism which we believe to underlie many crowd-sourced services. It presents our design and prototype Actor-based implementation of middleware for crowd-sourced services, CSSWare. We present the code for a realistic crowd-sourced service to illustrate the ease with which new services can be specified and launched. Finally, we present our experimental results demonstrating scalability, performance and data-contributor side energy efficiency of the approach.

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Footnotes
1
Actors are emerging as the model of choice for large-scale communication systems. Among others, Twitter and Facebook Chat have been implemented using Actor systems [4].
 
2
These 350 lines of code are included in the previously mentioned roughly 4600 lines of code for the Android application’s implementation.
 
3
Although this performs well for the small number of restaurants, it would be more efficient to use a binary search tree to keep a large number of restaurants sorted.
 
4
Zagat 2014 restaurant survey reported that an average American ate out or bought 47 % of their lunches or dinners.
 
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Metadata
Title
CSSWare: A Middleware for Scalable Mobile Crowd-Sourced Services
Authors
Ahmed Abdel Moamen
Nadeem Jamali
Copyright Year
2015
Publisher
Springer International Publishing
Book
Mobile Computing, Applications, and Services

Print ISBN: 978-3-319-29002-7

Electronic ISBN: 978-3-319-29003-4

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-29003-4_11

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