NDLI: A Survey on Emerging Computing Paradigms for Big Data

Content Provider	IET Digital Library
Author	Zhang, Yaoxue Ren, Ju Liu, Jiagang Xu, Chugui Guo, Hui Liu, Yaping
Abstract	The explosive growth of data volume and the ever-increasing demands of data value extraction have driven us into the era of big data. The “5V” (Variety, Velocity, Volume, Value, and Veracity) characteristics of big data pose great challenges to traditional computing paradigms and motivate the emergence of new solutions. Cloud computing is one of the representative technologies that can perform massive-scale and complex data computing by taking advantages of virtualized resources, parallel processing and data service integration with scalable data storage. However, as we are also experiencing the revolution of Internet-of-things (IoT), the limitations of cloud computing on supporting lightweight end devices significantly impede the flourish of cloud computing at the intersection of big data and IoT era. It also promotes the urgency of proposing new computing paradigms. We provide an overview on the topic of big data, and a comprehensive survey on how cloud computing as well as its related technologies can address the challenges arisen by big data. Then, we analyze the disadvantages of cloud computing when big data encounters IoT, and introduce two promising computing paradigms, including fog computing and transparent computing, to support the big data services of IoT. Finally, some open challenges and future directions are summarized to foster continued research efforts into this evolving field of study.
Starting Page	1
Ending Page	12
Page Count	12
ISSN	10224653
Volume Number	26
e-ISSN	20755597
Issue Number	Issue 1, Jan (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/26/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2016.11.016
Journal	Chinese Journal of Electronics
Publisher Date	2017-01-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	Big Data Big Data Services Cloud Computing Data Handling Technique Fog Computing Internet of Things Internet Software Internet-of-Things IoT Pervasive Computing Transparent Computing Ubiquitous
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Transparent Computing: Development and Current Status

Priority, network and energy-aware placement of IoT-based application services in fog-cloud environments

Fog-based semantic model for supporting interoperability in IoT

Reality check: is our world really getting smart?

Privacy preserving data aggregation techniques for handling false data injection attacks in fog computing

Process Automation in an IoT–Fog–Cloud Ecosystem: A Survey and Taxonomy

Messages from the Future

Fault-tolerant with load balancing scheduling in a fog-based IoT application

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A Survey on Emerging Computing Paradigms for Big Data

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