Journal ArticleDOI
Big Data Meet Green Challenges: Greening Big Data
TLDR
This paper studies the relevance between big data and green metrics and proposes two new metrics, effective energy efficiency and effective resource efficiency in order to bring new views and potentials of green metrics for the future times of big data.Abstract:
Nowadays, there are two significant tendencies, how to process the enormous amount of data, big data, and how to deal with the green issues related to sustainability and environmental concerns. An interesting question is whether there are inherent correlations between the two tendencies in general. To answer this question, this paper firstly makes a comprehensive literature survey on how to green big data systems in terms of the whole life cycle of big data processing, and then this paper studies the relevance between big data and green metrics and proposes two new metrics, effective energy efficiency and effective resource efficiency in order to bring new views and potentials of green metrics for the future times of big data.read more
Citations
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Journal ArticleDOI
Edge Computing for the Internet of Things: A Case Study
TL;DR: An experimental evaluation of edge computing and its enabling technologies in a selected use case represented by mobile gaming shows that edge computing is necessary to meet the latency requirements of applications involving virtual and augmented reality.
Journal ArticleDOI
Big Data Meet Green Challenges: Big Data Toward Green Applications
TL;DR: The relations between the trend of big data era and that of the new generation green revolution are discovered through a comprehensive and panoramic literature survey in big data technologies toward various green objectives and a discussion on relevant challenges and future directions.
Journal ArticleDOI
Internet of Mobile Things: Overview of LoRaWAN, DASH7, and NB-IoT in LPWANs Standards and Supported Mobility
TL;DR: This paper addresses the mobility of the things and the connectivity in each of the three LPWAN standards: LoRaWAN, DASH7, and NB-IoT, and provides a general and technical comparison for the three standards.
Journal ArticleDOI
Internet of Things (IoT) Operating Systems Support, Networking Technologies, Applications, and Challenges: A Comparative Review
TL;DR: This review provides a detailed comparison of the OSs designed for IoT devices on the basis of their architecture, scheduling methods, networking technologies, programming models, power and memory management methods, together with other features required for IoT applications.
References
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MapReduce: simplified data processing on large clusters
Jeffrey Dean,Sanjay Ghemawat +1 more
TL;DR: This paper presents the implementation of MapReduce, a programming model and an associated implementation for processing and generating large data sets that runs on a large cluster of commodity machines and is highly scalable.
Journal ArticleDOI
MapReduce: simplified data processing on large clusters
Jeffrey Dean,Sanjay Ghemawat +1 more
TL;DR: This presentation explains how the underlying runtime system automatically parallelizes the computation across large-scale clusters of machines, handles machine failures, and schedules inter-machine communication to make efficient use of the network and disks.
Journal ArticleDOI
Internet of Things (IoT): A vision, architectural elements, and future directions
TL;DR: In this article, the authors present a cloud centric vision for worldwide implementation of Internet of Things (IoT) and present a Cloud implementation using Aneka, which is based on interaction of private and public Clouds, and conclude their IoT vision by expanding on the need for convergence of WSN, the Internet and distributed computing directed at technological research community.
Journal ArticleDOI
Mobile crowdsensing: current state and future challenges
Raghu K. Ganti,Fan Ye,Hui Lei +2 more
TL;DR: The need for a unified architecture for mobile crowdsensing is argued and the requirements it must satisfy are envisioned.
Journal ArticleDOI
Ecological footprints and appropriated carrying capacity: what urban economics leaves out:
TL;DR: In this paper, the concepts of human carrying capacity and natural capital were used to develop a framework to evaluate each city's ecological footprints and appropriated carrying capacity in the context of urban economics.