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Simulator improvements to validate the Green Cloud Computing approach

  • October 2011
DOI:10.1109/LANOMS.2011.6102263
  • Conference: 7th Latin American Network Operations and Management Symposium, LANOMS 2011, Quito, Ecuador, October 10-11, 2011
Authors:
Jorge Werner at Federal University of Santa Catarina
Jorge Werner
Guilherme Arthur Geronimo at Federal University of Santa Catarina
Guilherme Arthur Geronimo
Carlos Becker Westphall at Federal University of Santa Catarina
Carlos Becker Westphall
Fernando Koch at University of Melbourne
Fernando Koch
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Abstract

Abstract—Green Cloud Computing aims at a processing infrastructure that combines flexibility, quality of services, and reduced energy utilization. In order to achieve this objective, the management solution must regulate the internal settings to address the pressing issue of data center over-provisioning related to the need to match the peak demand. In this context, we propose an integrated solution for resource management based on organization models of autonomous agent components. This work introduces the system management model, analyzes the system’s behavior, describes the operation principles, and presents a use case scenario. To simulate the approach of organization, theory and implementation of migration policies and reallocation changes were made as improvements in the code of CloudSim framework.
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Print ISBN:
978-1-4577-1790-1
INSPEC Accession Number:
12437463
Conference Location :
Quito
Digital Object Identifier :
10.1109/LANOMS.2011.6102263
Green Cloud Computing aims at a processing infrastructure that combines flexibility, quality of
services, and reduced energy utilization. In order to achieve this objective, the management solution
must regulate the internal settings to address the pressing issue of data center over-provisioning
related to the need to match the peak demand. In this context, we propose an integrated solution for
resource management based on organization models of autonomous agent components. This work
introduces the system management model, analyzes the system's behavior, describes the operation
principles, and presents a use case scenario. To simulate the approach of organization, theory and
implementation of migration policies and reallocation changes were made as improvements in the
code of CloudSim framework.
Published in:
Network Operations and Management Symposium (LANOMS), 2011 7th Latin American
Date of Conference: 10-11 Oct. 2011
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Werner, J. ; Network & Manage. Lab., Fed. Univ. of Santa Catarina, Florianopolis, Brazil ; Geronimo, G. ; Westphall, C. ; Koch, F.
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Supplementary resource (1)

ICN2013-spain-tutorial
Data
July 2013
Jorge Werner · Guilherme Arthur Geronimo · Carlos Becker Westphall · Fernando Koch · Rafael Freitas
... Vale ressaltar que nenhum estudo aborda RNF e sustentabilidade ao mesmo tempo. Apenas dois artigos respondem três questões de pesquisa, são eles: EP_17 [42] e EP_26 [32]. Pode-se considerar que estes dois artigos são os mais completos em termos de questões que consegue responder e que eles apresentam alto relacionamento com o foco desta pesquisa, no entanto, diferentemente de ambos, este artigo aborda RNF e sustentabilidade. ...
... EP_02 [19], EP_04 [27], EP_05 [21], EP_06 [22], EP_10 [23], EP_11 [24], EP_12 [25], EP_13 [26], EP_16 [28], EP_17 [42], EP_18 [29], EP_19 [30], EP_20 [31], EP_26 [32], EP_27 [33], EP_28 [34] QP2 ...
... EP_02 [19], EP_20 [31], EP_26 [32] (RNF) EP_01 [35], EP_03 [36], EP_07 [37], EP_08 [38], EP_09 [39], EP_14 [40], EP_15 [41], EP_17 [42], EP_21 [43], EP_22 [44], EP_23 [45], EP_24 [46], EP_25 [47], EP_29 [48] (Sust.) QP3 ...
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... A relevant topic to be taken into account in cloud monitoring is energy issues. The challenge in Green Cloud Computing involves minimizing the use of resources and still meeting the required quality and robustness of the service, contributing to a reduction in operational costs and environmental impact [2], [3]. ...
... All physical components, from processing and storage devices to network equipment, should be monitored. Most studies in the area agree in considering the percentage of CPU utilization, RAM, storage memory, and statistics of physical network interfaces as the most relevant metrics [2], [3], [5], [6], [7]. As mentioned, network devices must also be monitored, as problems in switches, routers or communication links may affect the cloud topological connectivity. ...
... According to [8], where ecological and performance issues of resource management system are taken into account (metrics, techniques, models, policies, algorithms), the power consumption is considered an adequate metric to address (see also [3]). In [2], metrics for temperature control and backup power systems (generators, UPS) are also proposed. The purpose is mainly to assess and optimize the use of energy and reduce the emission of carbon monoxide. ...
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... To simulate the strategies we used a Cloud simulator tool developed in Melbourne, CloudSim [14]. But, in order to achieve the simulations that we need, we made some modifications in the code [13], allowing to simulate the distributions patterns and the scenario definition. Four scenarios were simulated in order to seek the comparative analysis between ordinary cloud (Scenario 1), the existing methods (Scenarios: 2 and 3), and the proposed approach (Scenario 4). ...
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The aim of Green Cloud Computing is to achieve a balance between the resource consumption and quality of service. In order to achieve this objective and to maintain the flexibility of the cloud, dynamic provisioning and allocation strategies are needed to regulate the internal settings of the cloud to address oscillatory peaks of workload. In this context, we propose strategies to optimize the use of the cloud resources without decreasing the availability. This work introduces two hybrid strategies based on a distributed system management model, describes the base strategies, operation principles, tests, and presents the results. We combine existing strategies to search their benefits. To test them, we extended CloudSim to simulate the organization model upon which we were based and to implement the strategies, using this improved version to validate our solution. Achieving a consumption reduction up to 87% comparing Standard Clouds with Green Clouds, and up to 52% comparing the proposed strategy with other Green Cloud Strategy.
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... Having analyzed briefly the results of the simulation, the discussion will focus on the application of energy management policies setup for DCN in terms of management role, planning role and beliefs, and some of the performance and energy-efficient metrics targeted toward communication systems in DCs. Considering the theory and practice of network management policies in [44], which also encompasses the DVFS, DNS and DPM methodologies, the findings of this study suggest the following: ...
On energy consumption of switch-centric data center networks
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Data center network (DCN) is the core of cloud computing and accounts for 40% energy spend when compared to cooling system, power distribution and conversion of the whole data center (DC) facility. It is essential to reduce the energy consumption of DCN to ensure energy-efficient (green) data center can be achieved. An analysis of DC performance and efficiency emphasizing the effect of bandwidth provisioning and throughput on energy proportionality of two most common switch-centric DCN topologies: three-tier (3T) and fat tree (FT) based on the amount of actual energy that is turned into computing power are presented. Energy consumption of switch-centric DCNs by realistic simulations is analyzed using GreenCloud simulator. Power-related metrics were derived and adapted for the information technology equipment processes within the DCN. These metrics are acknowledged as subset of the major metrics of power usage effectiveness and data center infrastructure efficiency, known to DCs. This study suggests that although in overall FT consumes more energy, it spends less energy for transmission of a single bit of information, outperforming 3T.
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... It's aim is to reduce resource consumption and yet fulfil quality of service needed and hold the resources switched off as long as possible. "The advantages of such technology are lower heat production and power saving by employing server consolidation and virtualization technologies; since active resources (servers, network elements, and A/C units) that are idle lead to energy waste" [24,23]. ...
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Cloud computing technology is used as inexpensive systems to gather and utilize computational capability. This technology improves applications services by arranging machines and distributed resources in a single huge computational entity. Clouds consist of data centers which are owned by the same institute. The homogeneity within each data centre in the infrastructure is the main feature for the cloud computing but any conflict between heterogeneous data centers and/or different administration domains can become a serious issue for cloud interoperability and privacy. This paper suggests a new framework to solve the interoperability problem.
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... For example, CDOSim [22], CloudAnalyst [23], NetworkCloudSim [24], and TechCloud [25] were all built or developed on top of the CloudSim. Werner et al. also proposed an organization theory model for resource management for green cloud computing based on CloudSim [26]. ...
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Simulation tools are essential to evaluate cloud computing services and applications. This chapter surveys the various simulation platforms and tools of cloud computing through a literature review and classification of journal articles, conference papers, and technical reports. The review and discussion on the cloud computing simulation tools also provides insights on modeling and evaluation of cloud computing services and applications. Various cloud computing simulation tools are
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... Its aim is to reduce resource consumption and yet fulfil quality of service needed and hold the resources switched off as long as possible. "The advantages of such technology are lower heat production and power saving by employing server consolidation and virtualization technologies; since active resources (servers, network elements, and A/C units) that are idle lead to energy waste" [23]. ...
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... Hence, a multi-agent simulation approach (e.g. similar to the presented in [34]) could be considered for spot cloud modeling. However, Amazon has published very little information regarding construction of the spot market (e.g. ...
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