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好帮手:云计算仿真器CloudSim

[日期:2009-04-21] 来源:GRIDS Laboratory  作者:Rajkumar Buyya等 [字体: ]

点击下载:CloudSim 1.0 beta (released on Apr 08, 2009). 

http://www.chinacloud.cn/upload/2009-04/temp_09042121256883.tar   
(1.5MB)

对应论文下载:

CloudSim: A Novel Framework for Modeling and Simulation of cloud computing Infrastructures and Services

http://www.chinacloud.cn/show.aspx?id=1316&cid=28

(感谢网友tengfeiecho提供的CloudSim信息:http://bbs.chinacloud.cn/showtopic-75.aspx)

————————————————————————-
Melbourne GRIDS Lab to Release CloudSim Toolkit 1.0 Beta
————————————————————————-

GRIDS Lab and the Gridbus Project at The University of Melbourne,
Australia is please to announce the release of the new Cloud simulation software, called CloudSim.

CloudSim supports research and development in the emerging field of
Cloud Computing, and offers the following novel features: (i) support
for modeling and simulation of large scale Cloud computing
infrastructure, including data centers on a single physical computing
node; and (ii) a self-contained platform for modeling data
centers, service brokers, scheduling, and allocations policies. Among
the unique features of CloudSim, there are: (i) availability of
virtualization engine, which aids in creation and management of
multiple, independent, and co-hosted virtualized services
on a data center node; and (ii) flexibility to switch between
space-shared and time-shared allocation of processing cores to
virtualized services. These compelling features of CloudSim would speed up the development of new algorithms, methods, and protocols in Cloud computing, hence contributing towards quicker evolution of the paradigm.

All components developed as part of the CloudSim Toolkit are released as “open source” under the GPL license to encourage innovation and pass full freedom to our users.

As a simulation tool for an emerging technology, there are several
issues related to Cloud Computing that still in development. We have
done our best to address as many issues as possible, considering not
only research developed in the GRIDS Lab but also recent cloud-related research that has been published in academic journals and conferences.

Nevertheless, there may be features that is required by cloud
researches and that are not present in this version of CloudSim. In the
other hand, there may have features that are not required by cloud
researchers. Hence, the CloudSim team will be happy to receive feedback on usefulness of the current features,and also to receive suggestions on which features should be present in the final version of the tool. Also, any feedback will be welcomed. Please, feel free to send e-mails to the CloudSim developers. The addresses can be found in the CloudSim homepage at http://www.gridbus.org/cloudsim/

To download the CloudSim software, please visit the Gridbus Project web site at: http://www.gridbus.org/cloudsim/

The CloudSim Team
Melbourne, Australia, April 2009

Introduction

Cloud computing focuses on delivery of reliable, secure, fault-tolerant, sustainable, and scalable infrastructures for hosting Internet-based application services. These applications have different composition, configuration, and deployment requirements. Quantifying the performance of scheduling and allocation policy on a Cloud infrastructure (hardware, software, services) for different application and service models under varying load, energy performance (power consumption, heat dissipation), and system size is an extremely challenging problem to tackle. The use of real test beds such as Amazon EC2, limits the experiments to the scale of the testbed, and makes the reproduction of results an extremely difficult undertaking, as the conditions prevailing in the Internet-based environments are beyond the control of the tester.

An alternative is the utilization of simulations tools that open the possibility of evaluating the hypothesis prior to software development in an environment where one can reproduce tests. Specifically in the case of Cloud computing, where access to the infrastructure incurs payments in real currency, simulation-based approaches offer significant benefits, as it allows Cloud customers to test their services in repeatable and controllable environment free of cost, and to tune the performance bottlenecks before deploying on real Clouds. At the provider side, simulation environments allow evaluation of different kinds of resource leasing scenarios under varying load and pricing distributions. Such studies could aid the providers in optimizing the resource access cost with focus on improving profits. In the absence of such simulation platforms, Cloud customers and providers have to rely either on theoretical and imprecise evaluations, or on try-and-error approaches that lead to inefficient service performance and revenue generation.

The primary objective of this project is to provide a new, generalized, and extensible simulation framework that enables seamless modeling, simulation, and experimentation of emerging Cloud computing infrastructures and application services. By using CloudSim, researchers and industry-based developers can focus on specific system design issues that they want to investigate, without getting concerned about the low level details related to Cloud-based infrastructures and services.

Main features

CloudSim offers the following novel features: (i) support for modeling and simulation of large scale Cloud computing infrastructure, including data centers on a single physical computing node; and (ii) a self-contained platform for modeling data centers, service brokers, scheduling, and allocations policies. Among the unique features of CloudSim, there are: (i) availability of virtualization engine, which aids in creation and management of multiple, independent, and co-hosted virtualized services on a data center node; and (ii) flexibility to switch between space-shared and time-shared allocation of processing cores to virtualized services.

Also, CloudSim inherited the programming model of GridSim. So, GridSim users can easily migrate to CloudSim to expand their research from Grid platforms to Cloud platforms.

Documentation


 

Download

The downloaded package contains all the source, examples, jar, and API html files.

CloudSim 1.0 beta (released on Apr 08, 2009). Size is 563KB.


[Release Notes]   [README]


 

Project Team Members

Active Members:


 

Software License

The CloudSim Toolkit software is released as open source under the GPL license.
Copyright The Gridbus Project, GRIDS Lab, The University of Melbourne, 2009- to date.

 

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