Paper Info
Title
CARDAP: A Scalable Energy-Efficient Context Aware Distributed Mobile Data Analytics Platform for the Fog.
Abstract
Distributed online data analytics has attracted significant research interest in recent years with the advent of Fog and Cloud computing. The popularity of novel distributed applications such as crowdsourcing and crowdsensing have fostered the need for scalable energy-efficient platforms that can enable distributed data analytics. In this paper, we propose CARDAP, a (C)ontext (A)ware (R)eal-time (D)ata (A)nalytics (P)latform. CARDAP is a generic, flexible and extensible, component-based platform that can be deployed in complex distributed mobile analytics applications e.g. sensing activity of citizens in smart cities. CARDAP incorporates a number of energy efficient data delivery strategies using real-time mobile data stream mining for data reduction and thus less data transmission. Extensive experimental evaluations indicate the CARDAP platform can deliver significant benefits in energy efficiency over naive approaches. Lessons learnt and future work conclude the paper.
Year
DOI
Venue
2014
10.1007/978-3-319-10933-6_15
ADVANCES IN DATABASES AND INFORMATION SYSTEMS (ADBIS 2014)
Field
DocType
Volume
Mobile technology,Data mining,Smart device,Crowdsourcing,Computer science,Mobile device,Ubiquitous computing,Analytics,Database,Scalability,Cloud computing
Conference
8716
ISSN
Citations 
PageRank 
0302-9743
15
0.70
References 
Authors
17
6
Name
Order
Citations
PageRank
Prem Prakash Jayaraman137844.66
João Bártolo Gomes214510.02
Hai-Long Nguyen31076.52
Zahraa Said Abdallah4886.20
Shonali Priyadarsini Krishnaswamy51439104.01
Arkady Zaslavsky6113381.03