Cloud computing for optimization : foundations, applications, and challenges /
This book discusses harnessing the real power of cloud computing in optimization problems, presenting state-of-the-art computing paradigms, advances in applications, and challenges concerning both the theories and applications of cloud computing in optimization with a focus on diverse fields like th...
Saved in:
Group Author: | ; ; ; |
---|---|
Published: |
Springer,
|
Publisher Address: | Cham, Switzerland : |
Publication Dates: | [2018] |
Literature type: | Book |
Language: | English |
Series: |
Studies in big data,
volume 39 |
Subjects: | |
Summary: |
This book discusses harnessing the real power of cloud computing in optimization problems, presenting state-of-the-art computing paradigms, advances in applications, and challenges concerning both the theories and applications of cloud computing in optimization with a focus on diverse fields like the Internet of Things, fog-assisted cloud computing, and big data. In real life, many problems - ranging from social science to engineering sciences - can be identified as complex optimization problems. Very often these are intractable, and as a result researchers from industry as well as the acade |
Carrier Form: | xiv, 463 pages : illustrations ; 24 cm. |
Bibliography: | Includes bibliographical references. |
ISBN: |
9783319736754 3319736752 |
Index Number: | QA76 |
CLC: | TP393.027 |
Call Number: | TP393.027/C647-4 |
Contents: | Nature Inspired Optimizations in Cloud Computing: Applications and Challenges.- Resource Allocation in Cloud Computing Using OptimizationTechniques.- Energy Aware Resource Allocation Model for IaaS Optimization.- A Game Theoretic Model for Cloud Federation -- Resource Provisioning Strategy for Scientific Workflows in Cloud Computing Environment -- Consolidation in Cloud Environment Using Optimization Techniques. |