modeling and simulation of cloud computing:a review wei zhao, yong peng, feng xie, zhonghua dai...
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Modeling and Simulation of Cloud Computing:A Review
Wei Zhao, Yong Peng, Feng Xie, Zhonghua Dai報告者 :饒展榕
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Outline
1. INTRODUCTION2. PRELIMINARIES3. MODELING AND SIMULATION OF CLOUD
COMPUTING4. DISCUSSIONS5. CONCLUSIONS
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INTRODUCTION
• As the experimentation in a real environment is expensive, time costly, and not repeatable , it is often hard to analyze the performance and security issues on actual cloud environments.
• Therefore, modeling and simulation technology becomes increasingly popular in the cloud industry and academy.
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• In the literature, some traditional distributed system simulators can’t provide the environment that can be directly used by the cloud computing community.
• Briefly, these simulators can be broadly divided into two types: simulators just based on software, simulator based on both software and hardware.
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PRELIMINARIES
• In the industry and academy, there exist many definitions for cloud computing and is no canonical one.
• In this section, we review the definition of cloud computing proposed by National Institute of Standards and Technology (NIST).
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A. Definitions of Cloud Computing
• In 2011, NIST defined cloud computing as a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction.
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B. Security Issues of Cloud Coputing
• Cloud Security Alliance indicates that cloud computing confronts the following top security threats:
1. abuse and nefarious use of cloud computing; 2. insecure interfaces and APIs 3. malicious insiders 4. shared technology issues 5. data loss or leakage 6.account or service hijacking 7. unknown risk profile
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MODELING AND SIMULATION OF CLOUD COMPUTING
A. CloudSimB. CloudAnalystC. SPECID. GreenCloudE. OCTF. Open CirrusG. GroudSimH. NetworkCloudSimI. EMUSIMJ. DCSimK. iCanCloud
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A. CloudSim
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B. CloudAnalyst
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C. SPECI
• This simulation tool is composed of two packages, one refers to the data center layout and topology, and the other one consists of the components for experiment execution and measuring.
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D. GreenCloud
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E. OCT
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F. Open Cirrus
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G. GroudSim
• Ostermann et al. [28] proposed an event-based simulator GorudSim for scientific applications on grid and cloud environment that requires one simulation thread only.
• This simulator focuses on the IaaS area of cloud computing and is easily extendable to support additional models like cloud storage or platform as a service.
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H. NetworkCloudSim
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I. EMUSIM
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J. DCSim
• Tighe et al. proposed a Data Centre Simulator (DCSim) which is an extensible simulation framework for simulating a data centre hosting an IaaS cloud.
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J. DCSim
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K. iCanCloud
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DISCUSSIONS
• In this section, as shown in Table I, we make analysis and comparison on the cloud computing simulators from three aspects: underlying platform that simulators are based on, developing language that simulators used, software or hardware that simulators is designed as.
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CONCLUSIONS
• During the past few years, cloud computing has been one of the fastest growing parts in IT industry.
• Users have express concern about security problems that exist with the widespread implementation of cloud computing.
• It is extensively necessary to evaluate performance and security risks cloud computing confronts, and thus can find more effective solutions to security issues raised by cloud computing applications.