Fundamentals of Green Communications and Computing: Modeling and Simulation

Kocaoglu, Murat; Malak, Derya; Akan, Özgür B.

doi:10.1109/mc.2012.248

Cited by 17 publications

(12 citation statements)

References 9 publications

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“…Simulators are now commonly used to study the energy consumption of data centers [1,2]. Indeed, the increasing use of data centers and the high amount of energy demanded by them, make the analysis of their energy consumption extremely important.…”

Section: Introductionmentioning

confidence: 99%

Energy-aware simulation with DVFS

Guérout

Monteil

Costa

et al. 2013

Simulation Modelling Practice and Theory

129

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International audienceIn recent years, research has been conducted in the area of large systems models, especially distributed systems, to analyze and understand their behavior. Simulators are now commonly used in this area and are becoming more complex. Most of them provide frameworks for simulating application scheduling in various Grid infrastructures, others are specifically developed for modeling networks, but only a few of them simulate energy-efficient algorithms. This article describes which tools need to be implemented in a simulator in order to support energy-aware experimentation. The emphasis is on DVFS simulation, from its implementation in the simulator CloudSim to the whole methodology adopted to validate its functioning. In addition, a scientific application is used as a use case in both experiments and simulations, where the close relationship between DVFS efficiency and hardware architecture is highlighted. A second use case using Cloud applications represented by DAGs, which is also a new functionality of CloudSim, demonstrates that the DVFS efficiency also depends on the intrinsic middleware behavior

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Section: Introductionmentioning

confidence: 99%

Energy-aware simulation with DVFS

Guérout

Monteil

Costa

et al. 2013

Simulation Modelling Practice and Theory

129

View full text Add to dashboard Cite

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“…A computer system has possible workloads in a day for active use as well as nonactive use. An active use phase includes Hibernate/off, sleep, and idle states whereas a nonactive phase considers productivity and maximum performance as its attributes . Our goal is to recognize the calculation of heavy amount of energy consumption consumed by desktops present in university labs which directly impacts environment and health of students and staff.…”

Section: Related Workmentioning

confidence: 99%

Power‐saving policies for annual energy cost savings in green computing

Sharma

Mittal

Obaidat

2019

Int J Communication

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The concept of green computing is a step toward advanced information technology-related data computations. There is an urgent need to develop sustainable mobile telecommunication networks subscribed by Telecommunication Regulatory Authority of India (TRAI). This paper aims at deploying major recommendations and directions in computing systems directed by regulating authorities. Green computing-based power-saving policies include virtualization technique, power-saving method, and recycling technique-type solution components that we tried to embed in existing systems. The energyefficient green computing reserves the reliability and power of informationdriven technology. This research paper provides a comprehensive approach toward applying green mechanism by spotting the difference between energy consumption of current academic scenario and after embedding power-saving policies of green computing. Moreover, an account has been maintained about the amount of energy preservation. The extraordinary energy-and cost-saving features of green computing make environment sustainable and lively for future generations.

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“…It also introduces a new simulator (GENSim) and evaluates its use to analyze different green energy integration methods in a data center in order to find the most energy-efficient solution. Additionally, Kocaoglu et al [8] explore some of the key aspects of green computing and communications as it stresses the importance of simulation tools for evaluating new system architectures and protocols. Finally, opportunities and challenges that arise with the advent of energy-aware cloud computing environments simulators are discussed by Buyya et al [9], and results obtained from the use of these tools are presented in the derived works [1,10,11].…”

Section: Related Workmentioning

confidence: 99%

CloudReports: An Extensible Simulation Tool for Energy-Aware Cloud Computing Environments

Sá

Calheiros

Gomes

2014

Computer Communications and Networks

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The cloud computing paradigm integrates several technological models to provide services to a large number of clients distributed around the world. It involves the management of large data centers that represent very complex scenarios and demand sophisticated techniques for optimization of resource utilization and power consumption. Since the utilization of real testbeds to validate such optimization techniques requires large investments, simulation tools often represent the most viable way to conduct experimentation in this field. This chapter presents CloudReports, an extensible simulation tool for energy-aware cloud computing environments to enable researchers to model multiple complex simulation scenarios through an easy-to-use graphical user interface. It provides report generation features and a simple API (Application Programming Interface) that makes possible the development of extensions that are added to the system as plugins. CloudReports is an open-source project composed of five mandatory modules and an optional extensions module. This chapter describes all these modules, their integration with the CloudSim toolkit, and a case study that demonstrates an evaluation of power consumption of data centers with a power model that is created as a CloudReports extension. Keywords IntroductionThe cloud computing paradigm proposes the integration of different technological models to provide hardware infrastructure, development platforms, and applications as services available worldwide. It involves complex scenarios composed of multiple large data centers that provide services to clients located around the world and with different sets of requirements. The management of such complex environments demand new system architectures, protocols, and policies in order to enable optimization of resources utilization and power consumption. Since the utilization of real testbeds to validate experiments on this field requires large investments and makes replication and control of experiments harder, simulation alternatives have been broadly used. However, simulation tools either generate a large amount of data as output or force researchers to develop their own techniques to collect data, which demands an extra effort to organize and extract useful results. Thus, a tool that combines the flexibility and extensibility of simulation frameworks with functionalities that facilitate modeling and data collection would represent a significant contribution to the cloud computing research field.Aiming to provide this contribution, CloudReports has been developed as an extensible simulation tool for energy-aware cloud computing environments. CloudReports uses the CloudSim toolkit [1] as its simulation engine and enables researchers to model multiple complex simulation environments through an easy-to-use graphical user interface. CloudReports also provides report generation features which automatically organizes simulation results and presents them with a high level of details. Additionally, it provides an API that enables ...

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Fundamentals of Green Communications and Computing: Modeling and Simulation

Cited by 17 publications

References 9 publications

Energy-aware simulation with DVFS

Energy-aware simulation with DVFS

Power‐saving policies for annual energy cost savings in green computing

CloudReports: An Extensible Simulation Tool for Energy-Aware Cloud Computing Environments

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