Temporal QOS management in scientific cloud workflow systems /

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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 sop...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Liu, Xiao
Other Authors: Chen, Jinjun, Yang, Yun (University lecturer)
Format: Electronic eBook
Language:Inglés
Published: Waltham, MA : Elsevier, 2012.
Series:Elsevier insights.
Subjects:
Cloud computing.
Workflow > Management.
Infonuagique.
COMPUTERS > Networking > Intranets & Extranets.
COMPUTERS > Web > General.
Cloud computing
Workflow > Management
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Chapter 1 Introduction
  • Chapter 2 Literature Review and Problem Analysis
  • Chapter 3 A Scientific Cloud Workflow System
  • Chapter 4 Novel Probabilistic Temporal Framework
  • Chapter 5 Forecasting Scientific Cloud Workflow Activity Duration Intervals
  • Chapter 6 Temporal Constraint Setting
  • Chapter 7 Temporal Checkpoint Selection and Temporal Verification
  • Chapter 8 Temporal Violation Handling Point Selection
  • Chapter 9 Temporal Violation Handling
  • Chapter 10 Conclusions and Contribution Bibliography.

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