Big Data Meet Green Challenges: Greening 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

Big Data Meet Cyber-Physical Systems: A Panoramic Survey

“…In [68], [83], taking advantage of social and geographical community structures, routing, navigation services, and data delivery performance can all be improved. In [6], different big data routing algorithms for energy efficiency were reviewed, such as selecting routing paths for data centers that achieve the lowest energy costs, parallelizing data transfers by using multiple cores in data routing, and balancing big data traffic through a distributed adaptive routing algorithm that minimizes packet delivery.…”

“…As for green economics, CPS applications can be targeted for optimizing the energy use. One example is FirstFuel, which monitors temperature and lightnings inside buildings by checking the running status of the equipments, such as fans, heating and cooling units [6]. Power management can be realized using sensors monitoring the whole building, as well as using smart meters for electricity consumption measurements.…”

“…For specific CPS applications, [28] provided a thorough survey on cybersecurity issues for smart grids, with emphasis on security requirements, network vulnerabilities, and secure communication protocols and architectures. Green challenges facing big data cloud computing and processing were surveyed in [6], [29], [30], [32], with different green IoT applications in [31].…”

Will SDN Be Part of 5G?

“…Examples of such issues are energy efficiency of SDN networks, optimized resources consumption, intelligent networking techniques for big data, integration of IoT (Internet of Things), etc. [12]. However, these issues are also important, e.g., the additional energy and resource consumption introduced by SDN and NFV should also be considered and efficient techniques should be developed for greening the future networks [12].…”

“…[12]. However, these issues are also important, e.g., the additional energy and resource consumption introduced by SDN and NFV should also be considered and efficient techniques should be developed for greening the future networks [12]. The major obstacles are: 1) fronthaul; 2) latency of general purpose platforms; 3) backward compatibility; 4) disruptive deployment; 5) SDN specific security vulnerabilities; 6) clear and compelling business case.…”