Temporal QOS management in scientific cloud workflow systems

Resource Information

The work Temporal QOS management in scientific cloud workflow systems represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.

Label

Temporal QOS management in scientific cloud workflow systems

Statement of responsibility

Xiao Liu, Jinjun Chen, Yun Yang

Creator

• Liu, Xiao

Contributor

• Chen, Jinjun
• Yang, Yun, (University lecturer)
• Yang, Yun

Subject

• COMPUTERS -- Networking | Intranets & Extranets
• Workflow -- Management
• COMPUTERS -- Web | General
• Workflow -- Management
• Cloud computing
• Cloud computing

Language

eng

Summary

Cloud computing can provide virtually unlimited scalable high performance computing resources. Cloud workflows often underlie many large scale data/computation intensive e-science applications such as earthquake modelling, weather forecasting and astrophysics. During application modelling, these sophisticated processes are redesigned as cloud workflows, and at runtime, the models are executed by employing the supercomputing and data sharing ability of the underlying cloud computing infrastructures. Temporal QOS Management in Scientific Cloud Workflow Systems focuses on real world scientific applications which often must be completed by satisfying a set of temporal constraints such as milestones and deadlines. Meanwhile, activity duration, as a measurement of system performance, often needs to be monitored and controlled. This book demonstrates how to guarantee on-time completion of most, if not all, workflow applications. Offering a comprehensive framework to support the lifecycle of time-constrained workflow applications, this book will enhance the overall performance and usability of scientific cloud workflow systems. Explains how to reduce the cost to detect and handle temporal violations while delivering high quality of service (QoS) Offers new concepts, innovative strategies and algorithms to support large-scale sophisticated applications in the cloud Improves the overall performance and usability of cloud workflow systems

Member of

• Elsevier insights

Cataloging source

OPELS

Dewey number

004.6782

Index

index present

LC call number

QA76.585

LC item number

.L58 2012

Literary form

non fiction

Nature of contents

• dictionaries
• bibliography

Series statement

Elsevier insights