A Green energy-efficient scheduler for cloud data centers

Amoon, Mohammed; Tobely, Tarek El.

doi:10.1007/s10586-018-2028-z

Cited by 7 publications

(3 citation statements)

References 22 publications

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“…The main topic of green technology for business research in the United States is related to the government policies or regulations which promote green technology innovation (Goldstein, Doblinger, Baker, & Anadón, 2020;Klemun, Edwards, & Trancik, 2020). Furthermore, prior studies have also examined the relationship between green innovation technology and organizational performance (Amoon & Tobely, 2019;Gossart, Özaygen, & Özman, 2020). On top of that, previous research in the United States has also measured the impact of green technology innovation on firms' decision-making processes (Dotzel & Faggian, 2019).…”

Section: Resultsmentioning

confidence: 99%

Green Technology for Business: A Bibliometric Analysis

Dewi

Krisnawijaya²,

Yunita³

et al. 2022

Binus Business Review

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Green technology has gained prominence this decade since the core of green technology preserves the resources and the environment while enhancing business sustainability. However, few pieces of research present literature reviews of the application of green technology for business despite its importance in providing the map of a conceptual framework for identifying research gaps, inconsistencies in prior studies, and the “state-of-the-art” snapshot domain for future research. The research contributed to the limited literature reviews regarding the application of green technology in business research by using a novel approach, which was bibliometric analysis. The research aimed to provide evidence of collaboration between authors and the most influential countries related to applying green technology for business research using co-authorship analysis. It also analyzed the knowledge structure of this topic and determined the primary and emerging issues through co-word analysis. Furthermore, the research performed the analysis of co-citation to identify the intellectual backbone of this research domain. On top of that, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach was used to provide better accuracy in identifying and extracting the data for a bibliometric review. As the result, the research finds 735 journal articles related to green technology for business research from 1995 to 2020. In addition, four clusters are found to describe the current state of green technology for business research: environmental performance, circular economy, sustainable development, and climate policy. Then, research trend is also proposed to guide potential areas for further research to ascertain that the researchers have an inclusive insight on this topic.

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Section: Resultsmentioning

confidence: 99%

Green Technology for Business: A Bibliometric Analysis

Dewi

Krisnawijaya²,

Yunita³

et al. 2022

Binus Business Review

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“…Cloud computing is the foundation of many business solutions now and it is more reliable than on-premise hardware implementations (Amoon & Tobely, 2019). Due to the increase in demand for resources lead to an increase in the services, and thus the establishment of large-scale data centers (Abderrahim & Choukair, 2018).…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fault Tolerant Resource Allocation Scheme for Cloud Computing Environments

Sathiyamoorthi¹,

Keerthika²,

Suresh³

et al. 2021

Journal of Organizational and End User Computing

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Cloud computing is an optimistic technology that leverages the computing resources to offer globally better and more efficient services than the collection of individual use of internet resources. Due to the heterogeneous and high dynamic nature of resources, failure during resource allocation is a key risk in cloud. Such resource failures lead to delay in tasks execution and have adverse impacts in achieving quality of service (QoS). This paper proposes an effective and adaptive fault tolerant scheduling approach in an effort to facilitate error free task scheduling. The proposed method considers the most impactful parameters such as failure rate and current workload of the resources for optimal QoS. The suggested approach is validated using the CloudSim toolkit based on the commonly used metrics including the resource utilization, average execution time, makespan, throughput, and success rate. Empirical results prove that the suggested approach is more efficient than the benchmark techniques in terms of load balancing and fault tolerance.

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“…To maximize revenue, CSP prefers to allocate as many VMs as possible. However, it will drastically increase the power consumption due to a large number of active physical machines (PMs) [ 5 ].…”

Section: Introductionmentioning

confidence: 99%