Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Coordinating Crowd-Sourced Services

Authors: Ahmed Abdel Moamen; Nadeem Jamali;

Coordinating Crowd-Sourced Services

Abstract

The growing ubiquity of smartphones and similar personal connected computational devices, each with a number of sensors, has created an opportunity for useful services based on crowd-sourced data. A busy professional could find a restaurant to go to for a quick lunch based on information available from smartphones of people already there having lunch, waiting to be seated, or even heading there, a government could conduct a census in real-time, or "sense" public opinion. Although the programming required for offering a new service of this sort can be significant if done from scratch, these applications have something in common: they use a similar pattern of coordinated communications between the various parties. This creates an opportunity to offer a set of coordination mechanisms as a platform to service designers, into which they can simply plug in their service specific code to offer a new service. This paper identifies the coordination mechanisms required for these crowd-sourced services as types of multi-origin communication. We present details of how these core mechanisms can be implemented using Actors, and introduce high-level programming constructs for launching a new service. Finally, we use examples to illustrate the implementation of services.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Top 10%
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!