Green Cloud Computing and Environmental Sustainability

Kumar, Saurabh; Buyya, Rajkumar

doi:10.1002/9781118305393.ch16

Cited by 92 publications

(34 citation statements)

References 30 publications

(13 reference statements)

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“…Cloud computing is a model used to decentralize computational resources through virtualization [10]. Indeed, virtualization can be implemented to provide access to different server pools in one or more DCs.…”

Section: B Data Centres and Virtualizationmentioning

confidence: 99%

Life cycle assessment of videoconferencing with call management servers relying on virtualization

Vandromme¹,

Dandres²,

Maurice³

et al. 2014

Proceedings of the 2014 Conference ICT for Sustainability

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Abstract-Recently, data centres have been called out for their particularly high energy consumption, which already accounts for 1.5% of the total global electricity consumption and is among the world's fastest growing energy consumptions. To reduce the data centres' environmental impacts, technologies such as free cooling and sustainable power sources are used. Another newly developed strategy to improve the energy efficiency of data centres is virtualization, which makes it possible to install several operating systems, known as virtual machines (VMs), so that several tasks and users can share a single server. To evaluate the environmental advantages and burdens of this strategy, assessments tools are required. Several studies have already quantified the energetic and environmental benefits of virtualization but often only considered the use phase and CO2 improvement. This study uses life cycle assessment (LCA) to evaluate the environmental impacts of Internet use in videoconferencing (VC). Preliminary results show the advantages of virtualization in the manufacturing, use and endof-life phases. Indeed, when virtualization is implemented, one server can be allocated to several tasks. Therefore, the environmental burden of use and manufacturing will be allocated to the various tasks, decreasing the impact of each one.

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Section: B Data Centres and Virtualizationmentioning

confidence: 99%

Life cycle assessment of videoconferencing with call management servers relying on virtualization

Vandromme¹,

Dandres²,

Maurice³

et al. 2014

Proceedings of the 2014 Conference ICT for Sustainability

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“…Some studies show that Cloud computing can actually make traditional datacentres more energy efficient by using technologies such as resource virtualization and workload consolidation [30]. Contrary to the above opinion, other studies, for example Greenpeace [31], observe that the Cloud phenomenon may aggravate the problem of carbon emissions and global warming.…”

Section: Big Datamentioning

confidence: 97%

Big Data Processing for Renewable Energy Telemetry Using a Decentralized Cloud M2M System

Suciu

Vulpe

Marțian

et al. 2015

Wireless Pers Commun

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Hydro-, Aeolian and Solar energy show significant promise in helping to reduce pollutants and greenhouse gases, which is a primary focus in today's sustainable development culture. To enjoy the power of them, the human society needs solutions to transform the energies mentioned above into electric energy, at specific reliability, efficiency and sustainability parameters. Maintaining this kind of parameters implies, among other things, the careful and permanent monitoring of equipment. The monitoring process implies remote monitoring, as we are talking about preserving natural resources. The equipment is mostly situated in the middle of nature, covering large areas mostly outside of populated locations. In their great majority installations for wind and solar energy have been designed and manufactured relatively recently, which makes them contain systems of tele-monitoring that are designed and included by default, as a part of great importance to the entire investment. The situation is different in the case of hydroelectric plants, which have a tradition of over 130 years and have been and are still built to this day. Renewable energy sources are being increasingly used and need to be constantly monitored for optimizing the power grid. Unfortunately, such micro power plants are located in difficult to access remote locations where often only satellite or sparse GSM radio signals are available. In this paper we study the way how to process big data gathered by a & George Suciu decentralized cloud system, based on general systems and remote telemetry units (RTUs), for tele-monitoring of renewable energy objectives. Also, we analyze a proposed cloud M2M system, where each RTU communicates by radio with a telemetry data gateway connected to a cloud computing infrastructure equipped with appropriate software that delivers processed data. Furthermore, we present how we use a search based application built on Exalead CloudView to search for weak signals in big data. In particular, given the telemetry application, we propose to leverage trivial and non-trivial connections between different sensor signals and data from other online environmental wireless sensor networks, in order to find patterns that are likely to provide innovative solutions to existing problems. The aggregation of such weak signals will provide evidence of connections between renewable energies and environmental related issues faster and better than trivial mining of sensor data. As a consequence, the software has a significant potential for matching environmental applications and challenges that are related in non-obvious ways. Finally, we present the measurement results for a hydro-energy case study and discuss the applicability for other renewable sources such as solar or wind energy.

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“…For the full potential of CCS to be achieved, CSP need intelligent management mechanism not only to reduce the environmental footprint but also to realise the required QoS to ensure user satisfaction. The European Union has pointed out that a decline in emission capacity of 15% -30% is essential by 2020 to protect the worldwide temperature proliferation below 2 °C [5].…”

Section: B Environmental View -V2mentioning

confidence: 99%

Holistic View Angles of Cloud Computing Services Provisions

Oriaku

Lami

2012

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery

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Cloud computing services (CCS) is a modern blend of provisioning technologies and management of resources formed on limited requirements such as accessibility, hypotheses of elasticity and massive deployment. This paradigm offers on-demand IT resources such as applications, networks, services, data, servers and storage that are readily accessible through the Internet. Need for globalisation and collaboration is currently driving the adoption/rollout of cloud technology. Therefore, the current provision of CCS is focused and segmented, addressing explicit concerns according to these needs. This presents challenges for integrated services such as the missing interfaces concerning the diverse attributes of CCS, the required techniques and dependencies for efficient rollout/adoption. This paper proposes 6-view angles necessary for offering CCS, including all their important criteria and categories. These proposed views should help CCS architects and software developers achieve diverse optimised services; enhance these services in relation to communication, power usage, and interfaces that will ease cost and time; make these services desirable and accessible.

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Green Cloud Computing and Environmental Sustainability

Cited by 92 publications

References 30 publications

Life cycle assessment of videoconferencing with call management servers relying on virtualization

Life cycle assessment of videoconferencing with call management servers relying on virtualization

Big Data Processing for Renewable Energy Telemetry Using a Decentralized Cloud M2M System

Holistic View Angles of Cloud Computing Services Provisions

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