Distributed Computing: Principles and Applications. M.L. Liu, California Polytechnic State University – San Luis Obispo. © |Pearson | Available. Share this. Distributed Computing provides an introduction to the core concepts and principles of distributed programming techniques. It takes a “how-to” approach where. Distributed Computing: Principles and Applications, 1/e, Computer Science, Engineering and Computer Science,Higher Education,M.L. Liu, Pearson Education.
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Other editions – View all Distributed Computing: Read more Read less. Exercises in the end of each chapter are reasonable, but ad include more advanced problems to encourage students to seek additional relevant knowledge beyond the book. Although there are code examples in most chapters, they are intended for illustration purposes and lack challenge.
The second part of the book chapter 4s through 12 provides in-depth discussions of each paradigm.
Distributed Computing: Principles and Applications
Sign Up Already have an access code? Despite some grammar imperfection, the book itself does provide excellent introduction materials to students with little or none knowledge of distributed computing. Vol 8 No 2 Explore the Home Gift Guide. Write a customer review. If you’re interested in creating a cost-saving package for your students, contact your Pearson rep.
Distributed Computing: Principles and Applications – M. L. Liu – Google Books
HTTP Session state information: Page 1 of 1 Start over Page 1 of 1. End-of-chapter exercises provide analytical as well as principlew exercises to prompt the reader to practice the concepts and the use of API’s covered throughout the text.
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Liu, Distributed Computing: Principles and Applications | Pearson
Next page of related Sponsored Products. Array of paradigms that have evolved for distributed computing. A beginner’s guide to distributed search, analytics, an Your recently viewed items and featured recommendations.
Amazon Advertising Find, attract, and engage customers. We don’t recognize your username or password. There’s a problem loading this menu right compjting. Table of Contents 1.
What is distributed computing? Chapter 6 discusses group communication involving multicast mechanisms. As the author suggested in the preface, the purpose of Distributed Computing: Pearson India; 1 edition Language: Pages with related products. The presentation uses narrative, disgributed examples, and diagrams designed to explain the ptinciples in a manner that is clear and concise. Quick jump to page content. View or edit your browsing history. Uses extensive programming and self-check exercises to help convey and reinforce basic ideas.
Finally, the book principlles with an overview of the current advanced distributed computing areas including message queue system, mobile agents, network services, object spaces and collaborative computing.
Includes supplementary Web site with programming samples, sample lab exercises, test questions, and links. Learning Elastic Stack 6. Contains a concise, hands-on introduction to distributed programming using the latest technologies. Distributed computing, one of the most highly implemented computer theories, is a computing methodology in which tasks are collaborated among collections of interconnected, independent computers.
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