Crowdsourcing for Mobile Data Management (MDM2013)


Abstract

Crowdsourcing refers to a distributed problem-solving model in which a crowd of undefined size is engaged to solve a complex problem through an open call. This novel problem-solving model found its way into numerous applications on the web for voting, fund-raising, micro-works and wisdomof-the-crowd scenarios. On the other hand, the shift of desktop users to mobile platforms in the post-PC era, along with the unique multi-sensing capabilities of modern mobile devices are expected to eventually unfold the full potential of Crowdsourcing. This is true, as smartphones offer a great platform for extending and diversifying web-based crowdsourcing applications to a larger contributing crowd, making contribution easier and omnipresent.

This advanced seminar presents the fundamental concepts behind crowdsourcing and its applications to mobile data management. In the first part of the seminar, we will overview the crowdsourcing landscape from a variety of perspectives, with a particular emphasis on the latest data management trends. In the second and more extended part of the seminar, we will focus on an in-depth coverage of emerging mobile crowdsourcing architectures and systems, through a multi-dimensional taxonomy that will address location, sensing, power, performance, big-data and privacy among others. Furthermore, we will overview a number of in-house crowdsourcing prototypes we have developed and deployed over the last few years. The seminar concludes with challenges, opportunities and new directions in the field.


Target Audience

The goal of this advanced seminar is to convey basic a advanced understanding of the unique characteristics, challenges and opportunities of Crowdsourcing in Mobile Data Management to its audience. The tutorial is targeted to scientists with a basic understanding of mobile data management, but no knowledge of Crowdsourcing techniques is required. The relevant concepts from databases and other crowdsourcing areas will be reviewed in the seminar. We shall explain the workings of crowdsourcing through many well-known examples and a clear taxonomy, making the concepts easily comprehendible to a wide range of researchers and practitioners.

In particular, this seminar addresses the following audience:

  1. Graduate and Undergraduate Students
  2. Mobile Data Management Researchers/Educators
  3. Industry Developers

This seminar fills a gap compared to previous crowdsourcing tutorials [14, 1, 7] because it addresses the state-of-the-art in crowdsourcing related work for Mobile Data Management in particular (as opposed to Web, IR and Databases covered individually, previously). Additionally, this tutorial will be an interesting extension to [16], which focused on Participatory Sensing and urban spaces as opposed to mobile data management at large. At the same time, our tutorial will take a holistic view on the theoretical and practical complexities that arise in this new problem solving paradigm. This seminar covers, but is not limited to, the following MDM 2013 topics of interest:

  1. Context-aware computing and location-based services
  2. Data management in the mobile cloud
  3. Theoretical foundations of data-intensive mobile computing
  4. Mobile Web 2.0
  5. Location and trajectory data management, mining, learning
  6. Data management of mobile/ephemeral social network services
  7. People-centric mobile sensing networks and smart urban spaces
  8. Mining/Management of community sensing/participatory sensing data
  9. Mobile social applications and services

Tutorial Material

Microsoft Powerpoint Slides


Short Biographies

Georgios Chatzimilioudis is a Visiting Lecturer of Computer Science at the University of Cyprus. He got his Ph.D. and M.Sc. in Computer Science and Engineering from the University of California - Riverside in 2010 and 2008, respectively. He got his B.Sc. in Computer Science from the Aristotle University of Thessaloniki, Greece, in 2004. He has been a post-doctoral fellow at the University of Cyprus (2010-2012) and a visiting researcher at Siemens Corporate Research, USA (2008), and Hong Kong University (2006). His research interests include query optimization for location-based smartphone and wireless sensor networks, data management and crowdsourcing. He is an associate partner in the PlanetData project, a EU FP7 Network of Excellence for Large-Scale Data Management. He has been a postdoctoral fellow (Short Term) for the SEARCHing in a Networked world (SEARCHiN) project, Marie Curie Host Fellowships for the Transfer of Knowledge (ToK), Marie Curie Actions CORDIS European Commission. He has also been a collaborator for the Mobility, Data Mining, and Privacy (MODAP) project funded by EU 2009-2012, for the Semantic Sensor Grids for Rapid Application Development for Environmental Management (SemSorGrid4Env), co-funded by the European Commission’s Seventh Framework Programme, and for the Aware Building project from the Office of Naval Research USA. For more information please visit: http://www.cs.ucy.ac.cy/~gchatzim/.

Demetris Zeinalipour is an Assistant Professor of Computer Science at the University of Cyprus, directing the Data Management Systems Laboratory (DMSL). He got his Ph.D. and M.Sc. in Computer Science and Engineering from the University of California - Riverside in 2005 and 2003, respectively. He got his B.Sc. in Computer Science from the University of Cyprus in 2000. He has also been a visiting researcher at the Network Intelligence Lab of Akamai Technologies Cambridge, USA in 2004. His research interests include Data Management in Systems and Networks, including: Distributed Query Processing, Storage and Retrieval Methods for Sensor, Smartphone and Peer-to-Peer Systems, Mobile Data Management and Network Data Manage- ment. He has been a PC Chair for the 11th Intl. Conference on Mobile Data Management (IEEE MDM’10), the PC Chair for the 7th Intl. Workshop on Data Management in Sensor Networks (with VLDB’10) and the PC Chair for the 8th Intl. ACM Workshop on Data Engineering for Wireless and Mobile Access (ACM MobiDE’09), collocated with ACM SIGMOD’10. He has also been the Contest Chair for the 10th IEEE Intl. Conference on Data Mining. Contest: ”The Road Traffic Forecasting and Intelligent GPS Navigation”, (IEEE ICDM’10). His h-index is 15 and has over 1200 citations. He has participated in projects funded by the US NSF 0220148, 033 0481, 5EU’s CoreGRID Network of Excellence (IST-2002-004265), EU’s EGEE (IST-2003-508833) and by the Cyprus RPF. He participated in EU’s Marie Curie Host Fellowships for the Transfer of Knowledge ”SEARCHiN: SEARCHing in a Networked world” and currently participates in EU’s CONET Network of Excellence (FP7-224053). He is the PI of project ”SmartLab: A Hardware Testbed for Testing Smartphone Network Applications”, funded by UCY and has also been the PI of project ”SenseView: An Energy Efficient Data Acquisition Framework for Wireless Sensor Networks”, funded by the Open University of Cyprus. He is a member of the ACM (Sigmod), the IEEE Computer Society and the USENIX Association. For more information please visit: http://www.cs.ucy.ac.cy/~dzeina/.


Contact Details

  • Georgios Chatzimilioudis

    Email:
    Tel: +357-22-892662
    Fax: +357-22-892701
    Mail: Dept. of Computer Science, University of Cyprus, P.O. Box 20537, 1678 Nicosia, CYPRUS
    Office: Room B118, Dept. of Computer Science, 1 University Avenue, 2109 Aglantzia, CYPRUS

  • Demetris Zeinalipour

    Email:
    Tel: +357-22-892755
    Fax: +357-22-892701
    Mail: Dept. of Computer Science, University of Cyprus, P.O. Box 20537, 1678 Nicosia, CYPRUS
    Office: Room B106, Dept. of Computer Science, 1 University Avenue, 2109 Aglantzia, CYPRUS

Copyright © 2015 Data Management Systems Laboratory (DMSL) - Department of Computer Science, University of Cyprus