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 Dynamics, Games and Science by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Born-Jordan Quantization by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Atrial Fibrillation from an Engineering Perspective by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book The Impact of Globalization on International Finance and Accounting by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Infrastructure and Technology Management by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Learner Narratives of Translingual Identities by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Linear Response Theory by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Revisiting Slavery and Antislavery by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Magnetic Nanoparticles by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Analytical Methods in Statistics by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Combinatorial Methods in Topology and Algebra by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Dickens and the Virtual City by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Positive Psychology Perspectives on Foreign Language Learning and Teaching by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Frontiers in Wastewater Treatment and Modelling by Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Machine Medical Ethics 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