Title :
An Autonomic Mediation Framework for Complex Physical Environments
Author :
Lalanda, Philippe ; Hamon, Catherine
Author_Institution :
Grenoble Univ., Grenoble, France
fDate :
June 27 2014-July 2 2014
Abstract :
The term Big Data refers to large amounts of data coming from multiple resources, and to the techniques used to collect, manage and analyze them. In this paper, we focus of the collection of such data in complex physical environments like digital houses, smart buildings or connected plants. Precisely, we present a distributed, autonomic mediation framework named Cilia. This framework facilitates the design and deployment of mediation chains and their management at runtime. We also present a motivating example in the field of smart building and we explain why autonomic features are absolutely necessary in domains characterized by important environmental dynamism and by evolving needs of decision-makers. Cilia is currently validated in collaborative projects with the Orange Labs.
Keywords :
Big Data; Internet; distributed databases; software fault tolerance; Cilia; Internet; Orange Labs; autonomic computing; autonomic mediation framework; big data; complex physical environments; connected plants; data analysis; data collection; data management; digital houses; environmental dynamism; smart buildings; Mediation; Monitoring; Protocols; Runtime; Sensors; Smart buildings; Autonomic Computing; Big Data; Mediation;
Conference_Titel :
Big Data (BigData Congress), 2014 IEEE International Congress on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4799-5056-0
DOI :
10.1109/BigData.Congress.2014.80