Intelligent Green IT Management for Enterprises through System Profiling

Rao, Subrahmanya Vrk; Saravanakumar, Jeyabalan; Sundararaman, Karthik; Parthasarathi, Jinka; Ramesh, S.

doi:10.1109/greencom.2011.42

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…This technique ensures that organizations use industry standards for power-saving functions that afford centralized control to network administrators and promote energy-reduction practices among end users . Rao, Saravanakumar, Sundararaman, Parthasarathi, and Ramesh (2011) offered an intelligent green IT/IS technique to reduce energy consumption considering such actions such as "logoff", "shutdown", and "hibernate" by enabling the adaptive management of the desktops through the system profiling and application of machine-learning techniques. Moreover, Germain-Renaud et al (2011) presented an ontology-oriented approach that offers the perspective of combining semantic and logical inference for achieving energy-efficiency in IT systems.…”

Section: Power Managementmentioning

confidence: 99%

Multi-Disciplinary Green IT Archival Analysis: A Pathway for Future Studies

Sedera¹,

Lokuge²,

Tushi³

2017

CAIS

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Abstract:With the growth of information technology (IT), there is a growing global concern about the environmental impact of such technologies. As such, academics in several research disciplines consider research on green IT a vibrant theme. While the disparate knowledge in each discipline is gaining substantial momentum, we need a consolidated multidisciplinary view of the salient findings of each research discipline for green IT research to reach its full potential. We reviewed 390 papers published on green IT from 2007 to 2015 in three disciplines: computer science, information systems and management. The prevailing literature demonstrates the value of this consolidated approach for advancing our understanding on this complex global issue of environmental sustainability. We provide an overarching theoretical perspective to consolidate multi-disciplinary findings and to encourage information systems researchers to develop an effective cumulative tradition of research.

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Section: Power Managementmentioning

confidence: 99%

Multi-Disciplinary Green IT Archival Analysis: A Pathway for Future Studies

Sedera¹,

Lokuge²,

Tushi³

2017

CAIS

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“…The IT sector and users must enlarge a constructive attitude to address the ecological concerns and approve forward-looking, green-friendly policies and practices [7]. Another work presented an intellectual Green IT management method through the system outlining and application of Machine Learning techniques towards producing the system usage patterns [8].…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Architecture for Hybrid Processor Pool Model using IITPS Scheme

Giridas¹,

Nargunam²

2012

IJCA

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Nowadays, the function of Information Technology in environmental problem is getting more deliberation than ever. Some of the major concerns today over IT are increasing energy charges, older equipments stored in storage space and landfills, global warming, etc. To decrease the major environmental problem, a new term called Green IT is introduced. A Green IT is a term which is developed to illustrate the construction, administration, use and removal of IT in a way that minimizes damage to the environment. The most important purpose following the majority of eco-friendly business initiatives, including Green IT, is to encourage environmental sustainability. So, to make the environment more eco-friendly, our research project was aiming in reducing E-waste accumulated by computers. We look forward for a Green IT environment. At present, we can see that old-range and mid-range of processors are thrown out before their life-time expiry date. This contributes for E-waste accumulation and its one of the world's most dangerous situations to come. We thought about a novel architecture that supports accommodating (emulation) this old-range and midrange processors together with modern high-end processors in the scenario of cloud computing. Through this architecture, we can use all processors depends on various applications till their expiry date, and so, we can reduce the processor E-waste accumulation. The proposed Integrated Time and Task based Process Schedule (ITTPS) for cloud computing in Green IT is implemented using CloudSim software and various performance characteristics are simulated to estimate the performance of the proposed ITTPS in terms

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Intelligent Green IT Management for Enterprises through System Profiling

Cited by 2 publications

References 5 publications

Multi-Disciplinary Green IT Archival Analysis: A Pathway for Future Studies

Multi-Disciplinary Green IT Archival Analysis: A Pathway for Future Studies

A Novel Architecture for Hybrid Processor Pool Model using IITPS Scheme

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