Mobile Data Management Using ICrowdsourcing as a Service

Computer Science

Crowdsourcing is a distributed problem-solving methodology in which an undefined number of people participate in an open call to solve a complex problem. This new problem-solving paradigm has been used in a variety of web-based applications such as voting, fund-raising, micro-works, and crowd-sourcing scenarios. On the other hand, in the post-PC era, the movement of desktop users to mobile platforms, along with the unique multi-sensing capabilities of modern mobile devices, is projected to unlock Crowdsourcing's full potential. Smartphones provide an excellent platform for expanding and broadening web-based crowdsourcing apps to a larger contributing audience, making participation more convenient and accessible. The essential concepts of crowdsourcing and their applications to mobile data management are presented in this advanced session. In the first half of the seminar, we'll take a broad look at the crowdsourced research landscape from a variety of angles, with a focus on the most recent data management trends. We will focus on an in-depth treatment of new mobile crowdsourcing architectures and systems in the second and more extended half of the seminar, using a multi-dimensional taxonomy that will address location, sensing, power, performance, big-data, and privacy, among other topics. We'll also go over a couple of the in-house crowdsourcing prototypes we've built and deployed over the last few years. The lecture finishes with a discussion of the field's challenges, prospects, and new paths.

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