Optimized Cloud Based Scheduling

• Main Authors: Tan, Rong Kun Jason (Author, http://id.loc.gov/vocabulary/relators/aut), Leong, John A. (http://id.loc.gov/vocabulary/relators/aut), Sidhu, Amandeep S. (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Data, Semantics and Cloud Computing, 759
• Subjects: Computational intelligence.; Artificial intelligence.; Application software.; Computational Intelligence.; Artificial Intelligence.; Information Systems Applications (incl. Internet).

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 algori...

Table of Contents:

• Introduction
• Background
• Benchmarking
• Computation of Large Datasets
• Optimized Online Scheduling Algorithms.