MARSA: A Marketplace for Realtime Human Sensing Data

This article introduces a dynamic cloud-based marketplace of near-realtime human sensing data (MARSA) for different stakeholders to sell and buy near-realtime data. MARSA is designed for environments where information technology (IT) infrastructures are not well developed but the need to gather and sell near-realtime data is great. To this end, we present techniques for selecting data types and managing data contracts based on different cost models, quality of data, and data rights. We design our MARSA platform by leveraging different data transferring solutions to enable an open and scalable communication mechanism between sellers (data providers) and buyers (data consumers). To evaluate MARSA, we carry out several experiments with the near-realtime transportation data provided by people in Ho Chi Minh City, Vietnam, and simulated scenarios in multicloud environments.

[1]  Erik Wilde,et al.  A resource oriented architecture for the Web of Things , 2010, 2010 Internet of Things (IOT).

[2]  Florian Stahl,et al.  Pricing Approaches for Data Markets , 2012, BIRTE.

[3]  Basem Almadani,et al.  Scalable Wireless Video Streaming over Real-Time Publish Subscribe Protocol (RTPS) , 2013, 2013 IEEE/ACM 17th International Symposium on Distributed Simulation and Real Time Applications.

[4]  Marimuthu Palaniswami,et al.  An Information Framework for Creating a Smart City Through Internet of Things , 2014, IEEE Internet of Things Journal.

[5]  Juan de Lara,et al.  ODaaS: Towards the Model-Driven Engineering of Open Data Applications as Data Services , 2014, 2014 IEEE 18th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations.

[6]  Josef Spillner,et al.  A Versatile and Scalable Everything-as-a-Service Registry and Discovery , 2013, CLOSER.

[7]  Praveen Paritosh,et al.  Freebase: a collaboratively created graph database for structuring human knowledge , 2008, SIGMOD Conference.

[8]  Sooksan Panichpapiboon,et al.  The Future of Traffic Information Systems , 2010 .

[9]  Prateep Misra,et al.  Software Platforms for Internet of Things and M2M , 2013 .

[10]  Chih-Wei Yi,et al.  iTraffic: A Smartphone-based Traffic Information System , 2013, 2013 42nd International Conference on Parallel Processing.

[11]  Jean-Henry Morin,et al.  Toward Internet of Things Application Markets , 2012, 2012 IEEE International Conference on Green Computing and Communications.

[12]  Florian Stahl,et al.  Marketplaces for data: an initial survey , 2013, SGMD.

[13]  Schahram Dustdar,et al.  DEMODS: A Description Model for Data-as-a-Service , 2012, 2012 IEEE 26th International Conference on Advanced Information Networking and Applications.

[14]  Edith C. H. Ngai,et al.  A Ubiquitous Publish/Subscribe Platform for Wireless Sensor Networks with Mobile Mules , 2012, 2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems.

[15]  Schahram Dustdar,et al.  Data contracts for cloud-based data marketplaces , 2012, Int. J. Comput. Sci. Eng..

[16]  Andrea D'Ambrogio,et al.  A Model-driven WSDL Extension for Describing the QoS ofWeb Services , 2006, 2006 IEEE International Conference on Web Services (ICWS'06).

[17]  Knud Möller Kasabi,et al.  The Kasabi Information Marketplace , 2012 .

[18]  Ian Sommerville,et al.  QoSOnt: a QoS ontology for service-centric systems , 2005, 31st EUROMICRO Conference on Software Engineering and Advanced Applications.

[19]  Michele Amoretti,et al.  A decentralized smartphone based Traffic Information System , 2012, 2012 IEEE Intelligent Vehicles Symposium.

[20]  Joachim Schaper,et al.  Cloud Services , 2010, 4th IEEE International Conference on Digital Ecosystems and Technologies.

[21]  Bruno Valente.  A Middleware Framework for the Internet of Things , 2011 .

[22]  Michael J. Carey,et al.  Data services , 2012, Commun. ACM.

[23]  Payam M. Barnaghi,et al.  An Internet of Things Platform for Real-World and Digital Objects , 2012, Scalable Comput. Pract. Exp..

[24]  Gerome Miklau,et al.  Pricing Aggregate Queries in a Data Marketplace , 2012, WebDB.

[25]  Xi Fang,et al.  Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing , 2012, Mobicom '12.

[26]  Baik Hoh,et al.  Sell your experiences: a market mechanism based incentive for participatory sensing , 2010, 2010 IEEE International Conference on Pervasive Computing and Communications (PerCom).