Mastering Cloud. Computing. Foundations and Applications. Programming. Rajkumar Buyya. The University of Melbourne and Manjrasoft Pty Ltd, Australia. Rajkumar Buyya, Christian Vecchiola, S. Thamarai Selvi Mastering Cloud Computing teaches the fundamental principles of cloud computing and how to. Mastering Cloud Computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications and Applications Programming. by Rajkumar Buyya Author · Christian Vecchiola Author. ebook.
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Request PDF on ResearchGate | Mastering Cloud Computing: Foundations and Application Programming Rajkumar Buyya at University of Melbourne. Mastering Cloud Computing - 1st Edition - ISBN: , View on ScienceDirect Authors: Rajkumar Buyya Christian Vecchiola tingmisscomptarmi.tkai Selvi. eBook ISBN: Paperback ISBN. Read "Mastering Cloud Computing Foundations and Applications Programming" by Rajkumar Buyya available from Rakuten Kobo. Sign up today and get $5 off.
This is a very exciting milestone of our business and we will remain uniquely positioned to deliver the most innovative solutions to the industry" said Dr. To cope with technological advancements, it required a software solution which could help the students obtain updated study material. Moving with the Times, MSRIT needed to ensure the availability of the resources to students in order to support the practical implementation of the course.
The university was also required to keep the course material up to date and to differentiate itself from the scores of other institutions in the country by attracting more and more talent from across the world. In line with the industry trends, the university created a course in high-performance cluster and grid computing so that students could learn the technology.
As it was very difficult to programme the grid and cloud computing environment directly, Aneka provided a highly effective and user-friendly interface for cloud programming.
The tool is. NET-based , making it easy for the students to program the Cloud. The solution implementation process was supported by an Aneka platform from Manjrasoft and LAN-connected Windows systems.
Autodesk welcomes Manjrasoft into its partner network Distributed 3D rendering using Autodesk Maya was one of the earliest proof of concepts developed on Manjrasoft's Aneka platform.
The success of this has been cemented with the approval of Manjrasoft's application for the Autodesk Developer Network program. After reviewing the application, Autodesk has included Manjrasoft into its Developer Network, kicking off what can turn out to be a fruitful partnership for both the parties.
Manjrasoft aims to work with Autodesk to deliver a comprehensive solution to Autodesk's solutions in the media, entertainment and engineering sectors.
With China Southern Railway's GoFront group wanted to speed up their 3D rendering application, Manjrasoft jumped at the opportunity to meet the need. Manjrasoft's Aneka platform would fit snuggly into the situation at GoFront. Aneka is a market oriented Cloud development and management platform with rapid application development and workload distribution capabilities.
Aneka is an integrated middleware package which allows you to seamlessly build and manage an interconnected network in addition to accelerating development, deployment and management of distributed applications using Microsoft. NET frameworks on these networks. For 3D Rendering, Aneka enables you to complete your jobs in a fraction of the usual time using existing infrastructure only without having to do any programming. More information can be found under the solutions page.
Manjrasoft took a big step when they set out to commercialise the innovation technologies being developed at the CLOUDS Lab at The University of Melbourne with the beta release of it's flagship product Aneka early this year. After many downloads and testing from various collaborators and working with early adopters, the team at Manjrasoft went ahead with the public release of Aneka 1.
The public release is stabilised with the bug fixes taken care of. A trial version of Aneka is available to downloads from Manjrasoft's website. Manjrasoft is a member of the Microsoft BizSpark program Manjrasoft is glad to announce that it is now part of the Microsoft BizSpark program.
So, while the realization of true utility computing appears closer than ever, its acceptance is currently restricted to Cloud experts due to the perceived complexities of interacting with Cloud computing pro- viders. This book aims to change the game by simplifying and imparting Cloud computing foundations, technologies, and programming skills to readers such that even the average programmers and software engineers are able to develop Cloud applications easily.
It dis- cusses the concepts of virtualization technologies along with the architectural models of Cloud comput- ing. It presents prominent Cloud computing technologies available in the marketplace.
It contains dedi- cated chapters on concurrent, high-throughput and data-intensive computing paradigms and their use in programming Cloud applications. Various application case studies from domains such as science, engineering, gaming, and social networking are introduced along with their architecture and how they leverage various Cloud technologies.
This allows the reader to understand the mechanisms needed to harness Cloud computing in their own respective endeavors. Finally, many open research problems and opportunities that have arisen from the rapid uptake of Cloud computing are detailed.
We hope that this motivates the reader to address these in their own future research and development. By starting from the fundamen- tals, the book drives students and professionals through the practical use of these concepts by hands- on sessions on how to develop Cloud applications by using Aneka, Amazon Web Services, Google AppEngine and Microsoft Azure.
This set of skills is already fundamental today for software architects, engineers, and developers as many applications are being moved to the Cloud. It will become even more important in the future when this technology ma- tures further.
This book provides a perfect blend of background information, theory, and practical Cloud computing development, expressed in a language that is accessible to a wide range of readers: from graduate-level students to practitioners, developers, and engineers who want to, or need to, design and implement Cloud computing solutions. The book is targeted at graduate students and IT professionals such as system architects, practitioners, software engineers, and application programmers.
We believe that this book will serve as an excellent textbook for such subjects. If the students have already had exposure to the concepts of parallel and distributed computing, Chapter 2 can be skipped. In addition to theory, we strongly recommend for the introduction of a laboratory subject that offers hands-on experience. The lab exercises and assignments can focus on creating high-per- formance Cloud applications and assignments on a range of topics including parallel execution of mathematical functions, sorting of large data in parallel, image processing, and data mining.
Students can make use of this facility to learn about various Cloud application programming models and interfaces discussed in Chapter 6 Thread Programming , Chapter 7 Task Programming , and Chapter 8 MapReduce Programming. Students need to learn various programming examples discussed in these chapters and execute them on Cloud facility.
We encourage students to take up some of programming exercises noted in the Re- view Questions section of these chapters as lab assignments and develop their own solutions. For inspira- tion, please read various application case studies presented in Chapter We are always open to new ideas the best ones come from you! You may send your comments to tmh. We thank all of our colleagues at the University of Melbourne especially Professors Rao Kotagiri, Iven Mareels, and Glyn Davis for their mentorship and positive support for our research and knowledge transfer efforts.
Srinivasa Iyengar from MSRIT deserves a special mention for creating data-mining applications using Aneka and demonstrating the power of Aneka to academics from the early days of Cloud computing.
Dr Buyya is grateful to his family members, including Smrithi Buyya, Soumya Buyya, and Radha Buyya, for their love and understanding during the preparation of the book. This has greatly helped us in improving the quality of the book. Finally, we would like to thank the staff at Tata McGraw Hill Education for their enthusiastic support and guidance during the preparation of the book.