Abstract
A Study of Incentive Scheme to allocate Big Data Tasks with Mobile Social Cloud
Highlights
According to the report of eMarketer in June 2014, the number of global smart phone users surpassed the one billion mark in 2012, and is estimated to be 1.75 billion in 2014
Since mobile devices are usually associated with human users, humanintelligence can be leveraged for the tasks that are intractable for machine-computation, e.g., entity resolution and image annotation
Mobile devices shift from service consumers to service providers, offering a new service model for mobile cloud computing, i.e. mobile as a service provider (MaaSP)
Summary
According to the report of eMarketer in June 2014, the number of global smart phone users surpassed the one billion mark in 2012, and is estimated to be 1.75 billion in 2014. Since mobile devices are usually associated with human users, humanintelligence can be leveraged for the tasks that are intractable for machine-computation, e.g., entity resolution and image annotation Empowered by these capabilities, mobile devices shift from service consumers to service providers, offering a new service model for mobile cloud computing, i.e. mobile as a service provider (MaaSP). In this emerging service model, a large number of mobile devices connect with each other via wireless networks, forming an unprecedentedly powerful mobile cloud to provide pervasive data collecting, processing, and computing services With this powerful mobile cloud, mobile crowdsourcing has been gaining momentum as a feasible solution for solving very large-scale problems. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
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