Title :
MapReduce-Based Data Processing on IoT
Author_Institution :
Nat. Inst. of Inf., Tokyo, Japan
Abstract :
This paper presents a framework for data processing on the Internet of Things (IoT). It enables data on multiple nodes on IoT to be locally processed as much as possible by using the Map Reduce processing without transmitting the data to data-centers or clusters, and assembled into a few nodes. This paper describes the design and implementation of the framework, basic performance, and practical application.
Keywords :
Internet of Things; computer centres; data handling; parallel processing; Internet of Things; IoT; MapReduce; data center; data processing; Computers; Data processing; Java; Mobile agents; Peer-to-peer computing; Runtime; Servers; IoT; mapreduce; mobile agent;
Conference_Titel :
Internet of Things (iThings), 2014 IEEE International Conference on, and Green Computing and Communications (GreenCom), IEEE and Cyber, Physical and Social Computing(CPSCom), IEEE
Print_ISBN :
978-1-4799-5967-9
DOI :
10.1109/iThings.2014.32
