GDCSim: A tool for analyzing Green Data Center design and resource management techniques

Gupta, Sandeep; Gilbert, Rose Robin; Banerjee, Ayan; Abbasi, Zahra; Mukherjee, Tridib; Varsamopoulos, Georgios

doi:10.1109/igcc.2011.6008612

Cited by 46 publications

(20 citation statements)

References 5 publications

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“…Pernici et al (2012) presented views on using information systems for improving sustainability and the energy efficiency of the data centers. Gupta et al (2011) suggested a green data center simulator to study the energy efficiency of data centers under various geometries, workload characteristics, platform power management schemes, and scheduling algorithms. Doh et al (2010) identified the necessity of greener data centers and introduced zero energy for unused servers (ZEUS).…”

Section: Data Center Design and 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: Data Center Design and Managementmentioning

confidence: 99%

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

Sedera¹,

Lokuge²,

Tushi³

2017

CAIS

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show abstract

“…GDCSim (Green Data Centre Simulator) [7] aims to help researchers fine-tune the interactions between management systems and the physical layout of the data centre, including thermal and cooling interactions with workload placement. This tool does not consider multiple tenants of the data centre, nor does it consider virtualization.…”

Section: Related Workmentioning

confidence: 99%

Towards an improved data centre simulation with DCSim

Tighe

Keller

Shamy

et al. 2013

Proceedings of the 9th International Conference on Network and Service Management (CNSM 2013)

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Abstract-Computing is increasingly moving into large-scale data centres, providing resources on-demand for clients on a payper-usage basis. One form of such on-demand computing is an Infrastructure as a Service (IaaS) Cloud, which provides low level access to virtualized resources. Developing and evaluating data centre management techniques for such large-scale data centres presents a significant challenge. As such, most work turns to simulation tools as the test environment. We present a number of extensions and additional features to an existing simulation tool, DCSim. Our improvements to DCSim include work on the core of the simulator, improved event, communication and management mechanisms, and a more complete model of the structure of a data centre. We also present improved simulation configuration tools and output, including a unique visualization tool. We evaluate the usefulness of the simulator through a demonstration of its use in comparing dynamic VM management techniques.

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“…GDCSim [14] addresses the thermal aspects of powermanagement in data centers by integrating existing models. Specifically, It investigates the interaction of workloads and resource management policies with heat dissipation and fluid dynamics of different physical data center layouts.…”

Section: Related Workmentioning

confidence: 99%

“…For cloud computing, simulation systems to date [9], [10], [11], [12], [13], [14] focus on ab initio techniques in which various low-level cloud components (machines, networks, storage devices, etc.) are simulated and these component simulations are then composed efficiently into a full system simulation.…”

Section: Introductionmentioning

confidence: 99%

Using Trustworthy Simulation to Engineer Cloud Schedulers

Pucher

Gul

Wolski

et al. 2015

2015 IEEE International Conference on Cloud Engineering

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Abstract-In recent years, researchers have contributed promising new techniques for allocating cloud resources in more robust, efficient, and ecologically sustainable ways. Unfortunately, the wide-spread use of these techniques in production systems has, to date, remained elusive. One reason for this is that the state of the art for investigating these innovations at scale often relies solely on model-driven simulation. Production-grade cloud software, however, demands certainty and precision for development and business planning that only comes from validating simulation against empirical observation.In this work, we take an alternative approach to facilitating cloud research and engineering in order to transition innovations to production deployment faster. In particular, we present a new methodology that complements existing model-driven simulation with platform-specific and statistically trustworthy results. We simulate systems at scales and on time frames that are testable, and then, based on the statistical validation of these simulations, investigate scenarios beyond those feasibly observable in practice. We demonstrate the approach by developing an energy-aware cloud scheduler and evaluating it using production and synthetic traces in faster than real time. Our results show that we can accurately simulate a production IaaS system, ease capacity planning, and expedite the reliable development of its components and extensions.

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GDCSim: A tool for analyzing Green Data Center design and resource management techniques

Cited by 46 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

Towards an improved data centre simulation with DCSim

Using Trustworthy Simulation to Engineer Cloud Schedulers

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