Dr. Buyya and Cloud Computing

Title: CloudAnalyst: A CloudSim-based Visual Modeller for Analysing Cloud
Computing Environments and Applications
Authors: Bhathiya Wickremasinghe, Rodrigo N. Calheiros, and Rajkumar Buyya
Report-no: Technical Report, CLOUDS-TR-2009-12, Cloud Computing and Distributed Systems Laboratory, The University of Melbourne, Australia, Oct. 23, 2009

Abstract:

Advances in Cloud computing enable new possibilities to Internet applications
developers. Previously, the main concern of Internet applications developers
was deployment and hosting of applications, because it required acquisition of
a server with a fixed capacity, able to handle the expected application peak
demand, installation of the whole software infrastructure of the platform
supporting the application, and configuration of the application itself.
Furthermore, server was underutilized because peak traffic happens only at
specific times. With the advent of the Cloud, solution of this problem became
cheaper and easier with the use of pay-per-use, flexible elastic infrastructure
services offered by Cloud providers. Because several Cloud providers are
available, each one offering different pricing models and located in different
geographic regions, a new concern of application developers is selecting
providers and data center locations for applications. However, there is a lack
of tools that enable developers to evaluate requirements of large-scale Cloud
applications in terms of geographic distribution of both computing servers and
user workloads. To fill this gap in tools for evaluation and modeling of Cloud
environments and applications, in this paper we propose CloudAnalyst. It was
developed to simulate large-scale Cloud applications with the purpose of
studying the behavior of such applications under various deployment
configurations. CloudAnalyst helps developers with insights in how to
distribute applications among Cloud infrastructures and value added services
such as optimization of applications performance and providers incoming with
the use of Service Brokers.

Download full article from:

http://www.gridbus.org/reports/CloudAnalyst2009.pdf

Dear All:

In my last message I mentioned about the formation of our CLOUDS Lab and a new flagship project, called Cloudbus. We recently wrote an article detailing the vision, challenges, architecture along with brief description of various tools and technologies developed. The article appears as a keynote paper in “Proceeding of the 1st International Conference on Cloud Computing (CloudCom 2009, Springer, Germany), Beijing, China, December 1-4, 2009 (as noted below). You can access full article from:
http://www.buyya.com/papers/Cloudbus-Keynote2009.pdf

Best regards
Raj
—————————————————————–
Title: Cloudbus Toolkit for Market-Oriented Cloud Computing
Authors: Rajkumar Buyya, Suraj Pandey, and Christian Vecchiola
Categories: cs.DC
Comments: 21 pages, 6 figures, 2 tables, Conference paper
ACM-class: C.2.4
Journal-ref: Proceeding of the 1st International Conference on Cloud Computing (CloudCom 2009, Springer, Germany), Beijing, China, December 1-4, 2009.

Abstract: This keynote paper: (1) presents the 21st century vision of computing and identifies various IT paradigms promising to deliver computing as a utility; (2) defines the architecture for creating market-oriented Clouds and computing atmosphere by leveraging technologies such as virtual machines; (3) provides thoughts on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain SLA-oriented resource allocation; (4) presents the work carried out as part of our new Cloud Computing initiative, called Cloudbus: (i) Aneka, a Platform as a Service software system containing SDK (Software Development Kit) for construction of Cloud applications and deployment on private or public Clouds, in addition to supporting market-oriented resource management; (ii) internetworking of Clouds for dynamic creation of federated computing environments for scaling of elastic applications; (iii) creation of 3rd party Cloud brokering services for building content delivery networks and e-Science applications and their deployment on capabilities of IaaS providers such as Amazon along with Grid mashups; (iv) CloudSim supporting modelling and simulation of Clouds for performance studies; (v) Energy Efficient Resource Allocation Mechanisms and Techniques for creation and management of Green Clouds; and (vi) pathways for future research.

Cite/Reference as: Rajkumar Buyya, Suraj Pandey, and Christian Vecchiola, Cloudbus Toolkit for Market-Oriented Cloud Computing, Proceeding of the 1st International Conference on Cloud Computing (CloudCom 2009, Springer, Germany), Beijing, China, December 1-4, 2009.
—————————————————————–

Dear All:

Our GRIDS Lab has just released a Cloud Simulation software, called
CloudSim. For details, pleased see attached release notes below. The
software can be downloaded from:
http://www.gridbus.org/cloudsim/
Please share this message with colleagues who may be interested in this software.

We welcome comments on improving the software. Of course, will be happy to receive info on how you are making use of CloudSim in your work!

Best regards
Raj

————————————————————————-
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
————————————————————————-