Optimized Cloud Based Scheduling

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Information Technology, General Computing
Cover of the book Optimized Cloud Based Scheduling by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu ISBN: 9783319732145
Publisher: Springer International Publishing Publication: February 24, 2018
Imprint: Springer Language: English
Author: Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
ISBN: 9783319732145
Publisher: Springer International Publishing
Publication: February 24, 2018
Imprint: Springer
Language: English

This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new algorithms for hybrid cloud scheduling. Scientific sectors such as bioinformatics, astronomy, high-energy physics, and Earth science are generating a tremendous flow of data, commonly known as big data. In the context of growing demand for big data analytics, cloud computing offers an ideal platform for processing big data tasks due to its flexible scalability and adaptability. However, there are numerous problems associated with the current service provisioning and allocation models, such as inefficient scheduling algorithms, overloaded memory overheads, excessive node delays and improper error handling of tasks, all of which need to be addressed to enhance the performance of big data analytics.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new algorithms for hybrid cloud scheduling. Scientific sectors such as bioinformatics, astronomy, high-energy physics, and Earth science are generating a tremendous flow of data, commonly known as big data. In the context of growing demand for big data analytics, cloud computing offers an ideal platform for processing big data tasks due to its flexible scalability and adaptability. However, there are numerous problems associated with the current service provisioning and allocation models, such as inefficient scheduling algorithms, overloaded memory overheads, excessive node delays and improper error handling of tasks, all of which need to be addressed to enhance the performance of big data analytics.

More books from Springer International Publishing

Cover of the book Probing Correlated Quantum Many-Body Systems at the Single-Particle Level by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Regulating and Supervising European Financial Markets by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Exploring Services Science by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book PIP Joint Fracture Dislocations by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Intelligent Renewable Energy Systems by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Computer Information Systems and Industrial Management by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Mathematical Methods in Engineering by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book VoIP Technology: Applications and Challenges by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Women's Evolving Lives by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Medicines For Women by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Star Trek and the Politics of Globalism by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Econophysics and Capital Asset Pricing by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Emerging Issues in Ecology and Environmental Science by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Hybrid Intelligent Systems by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Advances in Hybridization of Intelligent Methods by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy