Green Cloud Computing: An Energy-Aware Layer in Software Architecture

Beik, Rasoul

doi:10.1109/scet.2012.6341950

Cited by 22 publications

(8 citation statements)

References 4 publications

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“…However, in their 2010 Data Center Users' Group survey, Emerson [2010] identified heat density (cooling), energy efficiency, and power density among five major data center concerns. Taking into account that a global annual data center construction size for 2020 is projected to be $78 billion, which is almost twice that in 2010, Belady [2011] stresses the importance of dealing with the energy efficiency and environmental impacts of ICT.…”

Section: Motivationmentioning

confidence: 99%

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Cloud Computing

Mastelić

Oleksiak

Claußen³

et al. 2014

ACM Comput. Surv.

229

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Cloud computing is today's most emphasized Information and Communications Technology (ICT) paradigm that is directly or indirectly used by almost every online user. However, such great significance comes with the support of a great infrastructure that includes large data centers comprising thousands of server units and other supporting equipment. Their share in power consumption generates between 1.1% and 1.5% of the total electricity use worldwide and is projected to rise even more. Such alarming numbers demand rethinking the energy efficiency of such infrastructures. However, before making any changes to infrastructure, an analysis of the current status is required. In this article, we perform a comprehensive analysis of an infrastructure supporting the cloud computing paradigm with regards to energy efficiency. First, we define a systematic approach for analyzing the energy efficiency of most important data center domains, including server and network equipment, as well as cloud management systems and appliances consisting of a software utilized by end users. Second, we utilize this approach for analyzing available scientific and industrial literature on state-of-the-art practices in data centers and their equipment. Finally, we extract existing challenges and highlight future research directions.

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Section: Motivationmentioning

confidence: 99%

“…Some attempts to do this were featured in projects such as Hemera [2013] and Magellan [2013]. Beik [2012] proposes an energy-aware software layer for more efficient energy usage. It collects micro-and macrometrics in order to efficiently use and deploy shared services in a shared cloud infrastructure.…”

Section: Application Monitoringmentioning

confidence: 99%

Cloud Computing

Mastelić

Oleksiak

Claußen³

et al. 2014

ACM Comput. Surv.

229

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“…Rasoul Beik et al, [6] proposes an energy aware layer in software -architecture that calculate the energy consumption in data centers and provide services to the users which uses energy efficiently. Bhanu Priya et al, [11] gave a cloud computing metrics to make the cloud green in terms of energy efficiency, different energy models has been discussed in this paper to reduce the power consumption and CO2 emission to make cloud more green.…”

Section: Existing Workmentioning

confidence: 99%

A Study on Green Cloud Computing

Atrey¹,

Jain²,

Iyengar³

2013

IJGDC

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“…The field of green computing is clarified as "the knowledge and practice of designing, manufacturing, using, and disposing of computers, servers, and associated subsystems-which include networking, storage devices and communications systems-efficiently and effectively with minimal or no impact on the environment [40]. In individual characteristics, Cloud resources need to be allocated not only to satisfy QoS requirements specified by users via Service Level Agreements (SLA), but also to decrease energy employment [16] [23]. [19] II.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Power Aware VM Consolidation using Live Migration

Sehdev¹,

Kumar²

2015

IJCNIS

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Abstract-PowerEfficiency is the efficient use of power and is a crucial come forth in cloud computing environment. Green Computing is nothing but is a cloud computing with efficient use of power and green refers to make the environment friendly to the user by saving heat and power. Data centre power efficiency in cloud environment will be reduced when virtualization is used as contrary to physical resource deployment to book adequate to grant all application requests. Nevertheless, in any case of the resource provisioning approximation, occasion remains in the way in which they are made attainable and workload is scheduled. The objective of this research work is therefore to pack workload into servers, selected as a function of their cost to operate, to achieve (or as close to) the utmost endorsed employment in a cost-efficient manner, avoiding occurrences where devices are under-utilized and management cost is acquired inefficiently. This work has enhanced the existing work by introducing the dynamic wake up calls either to shut down the active servers or restart the passive server. The wakeup calls has been initiated dynamically. The overall objective is to decrease the response time of users which will be increased during wakeup time in existing research work.

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Green Cloud Computing: An Energy-Aware Layer in Software Architecture

Cited by 22 publications

References 4 publications

Cloud Computing

Cloud Computing

A Study on Green Cloud Computing

Performance Evaluation of Power Aware VM Consolidation using Live Migration

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