State-of-the-art research study for green cloud computing

Jing, Siyuan; Ali, Shahzad; She, Kun; Zhong, Yi

doi:10.1007/s11227-011-0722-1

Cited by 143 publications

(85 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Transcending this result into the Green IT context, when organizations making decisions about their IT/IS adoption, they are more conscious to implement technologies that restore and enhance the natural environment (Young and Tilley, 2006). A plausible reason why there is one paper in eco-equity category is that cloud computing research is still at an early stage thus it has many adoption issues (Jing et al, 2013). Also, it is costly to implement cloud computing as it needs a large-scale computing infrastructure (Lee et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

A Technology-Organization-Environment Perspective on Eco-effectiveness: A Meta-analysis

Chong

Olesen

2017

AJIS

View full text Add to dashboard Cite

In this research, we perform a meta-analysis to explain how organizations are deploying technologies to enforce organizational sustainability by meeting the goal of eco-effectiveness. Prior studies have studied the influences on the adoption of technologies using the TechnologyOrganisation-Environment (TOE) model that incorporate some aspects of technological, organizational or environmental factors. We collected prior research to test the factors of the TOE model to ascertain their relative impact and strength. Our meta-analysis found eight additional technological and organizational factors. We found strong support for IT infrastructure, perceived direct benefits, top management support, and competitive pressure. Moderate support for compatibility, technological readiness, perceived indirect benefits, knowledge (human resources), organizational size, attitudes towards innovation, learning culture, pressure from trade partners (industry characteristics) and regulatory support. Lastly, weak support was found for relative advantage, complexity, perceived risks and information learning culture. Only two dimensions, financial resources and environmental uncertainty failed to reach statistical significance.

show abstract

Section: Discussionmentioning

confidence: 99%

A Technology-Organization-Environment Perspective on Eco-effectiveness: A Meta-analysis

Chong

Olesen

2017

AJIS

View full text Add to dashboard Cite

show abstract

“…But there are several options to alleviate the problem. Many papers describe techniques to develop equipment to meet demand, such as dynamic voltage scaling for CPUs [5], dynamic rotation perminute for hard drives [6] and link state adaptation for networks [7]. This paper explores the virtualization technology, which makes it possible to install several operating systems known as virtual machines (VMs) on a single server.…”

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

View full text Add to dashboard Cite

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.

show abstract

“…Si-Yuan Jing et al's research [28] discussed the challenges and issues related to security, QoS, and power consumption in cloud computing. The paper studied a state-of-the-art technique for power saving in IaaS, in order to achieve green cloud computing.…”

Section: Existing Researchesmentioning

confidence: 99%

EH-GC: An Efficient and Secure Architecture of Energy Harvesting Green Cloud Infrastructure

et al. 2017

View full text Add to dashboard Cite

Nowadays, the high power consumption of data centers is the biggest challenge to making cloud computing greener. Many researchers are still seeking effective solutions to reduce or harvest the energy produced at data centers. To address this challenge, we propose a green cloud infrastructure which provides security and efficiency based on energy harvesting (EH-GC). The EH-GC is basically focused on harvesting the heat energy produced by data centers in the Infrastructure-as-a-Service (IaaS) infrastructure. A pyroelectric material is used to generate the electric current from heat using the Olsen cycle. In order to achieve efficient green cloud computing, the architecture utilizes a genetic algorithm for proper virtual machine allocation, taking into consideration less Service Level Agreement (SLA) violations. The architecture utilizes Multivariate Correlation Analysis (MCA) correlation analysis based on a triangular map area generation to detect Denial of Service (DoS) attacks in the data center layer of the IaaS. Finally, the experimental analysis is explained based on the energy parameter, which proves that our model is efficient and secure, and that it efficiently reuses the energy emitted from the data center.

show abstract

State-of-the-art research study for green cloud computing

Cited by 143 publications

References 40 publications

A Technology-Organization-Environment Perspective on Eco-effectiveness: A Meta-analysis

A Technology-Organization-Environment Perspective on Eco-effectiveness: A Meta-analysis

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

EH-GC: An Efficient and Secure Architecture of Energy Harvesting Green Cloud Infrastructure

Contact Info

Product

Resources

About