1
Introduction
This book presents a novel probabilistic temporal framework to address the limitations of conventional temporal research and the new challenges for lifecycle support of time-constrained e-science applications in cloud workflow systems. The novel research reported in this book is concerned with the investigation of how to deliver high temporal Quality of Service (QoS) from the perspective of cost-effectiveness, especially at workflow run-time. A set of new concepts, innovative strategies and algorithms are designed and developed to support temporal QoS over the whole lifecycles of scientific cloud workflow applications. Case study, comparisons, quantitative evaluations and/or theoretical proofs are conducted for each component of ...
Get Temporal QOS Management in Scientific Cloud Workflow Systems now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
