Cloud Computing for Optimization: Foundations, Applications, and Challenges: Studies in Big Data, cartea 39
Editat de Bhabani Shankar Prasad Mishra, Himansu Das, Satchidananda Dehuri, Alok Kumar Jagadeven Limba Engleză Hardback – 6 mar 2018
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 649.73 lei 6-8 săpt. | |
Springer International Publishing – 8 feb 2019 | 649.73 lei 6-8 săpt. | |
Hardback (1) | 649.86 lei 6-8 săpt. | |
Springer International Publishing – 6 mar 2018 | 649.86 lei 6-8 săpt. |
Din seria Studies in Big Data
- 20% Preț: 861.36 lei
- 20% Preț: 997.75 lei
- 20% Preț: 586.43 lei
- 18% Preț: 986.59 lei
- 20% Preț: 1146.00 lei
- 20% Preț: 973.63 lei
- 20% Preț: 1429.75 lei
- 20% Preț: 1151.34 lei
- 20% Preț: 1460.05 lei
- 20% Preț: 1170.18 lei
- 20% Preț: 1161.99 lei
- 20% Preț: 1138.71 lei
- 20% Preț: 991.65 lei
- 20% Preț: 919.63 lei
- 18% Preț: 992.36 lei
- 20% Preț: 971.65 lei
- 15% Preț: 626.08 lei
- 20% Preț: 646.12 lei
- 20% Preț: 651.03 lei
- 20% Preț: 908.72 lei
- 20% Preț: 1024.18 lei
- 20% Preț: 1428.46 lei
- 18% Preț: 710.71 lei
- 20% Preț: 1031.07 lei
- 20% Preț: 1151.99 lei
- 20% Preț: 906.29 lei
- 20% Preț: 1612.52 lei
- 20% Preț: 331.42 lei
- 20% Preț: 1032.13 lei
- 20% Preț: 982.49 lei
- 20% Preț: 1037.15 lei
- 20% Preț: 980.54 lei
- 20% Preț: 645.48 lei
Preț: 649.86 lei
Preț vechi: 812.32 lei
-20% Nou
Puncte Express: 975
Preț estimativ în valută:
124.41€ • 127.95$ • 103.21£
124.41€ • 127.95$ • 103.21£
Carte tipărită la comandă
Livrare economică 17 februarie-03 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783319736754
ISBN-10: 3319736752
Pagini: 426
Ilustrații: XIV, 463 p. 144 illus., 112 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.84 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Big Data
Locul publicării:Cham, Switzerland
ISBN-10: 3319736752
Pagini: 426
Ilustrații: XIV, 463 p. 144 illus., 112 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.84 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Big Data
Locul publicării:Cham, Switzerland
Cuprins
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.
Textul de pe ultima copertă
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 academic community are concentrating their efforts on developing methods of addressing them. Further, the cloud computing paradigm plays a vital role in many areas of interest, like resource allocation, scheduling, energy management, virtualization, and security, and these areas are intertwined with many optimization problems. Using illustrations and figures, this book offers students and researchers a clear overview of the concepts and practices of cloud computing and its use in numerous complex optimization problems.
Caracteristici
Includes recent research on cloud computing for optimization Presents the state-of-the-art computing paradigms and advances in applications Proposes future directions for both the theories and applications of optimization techniques in cloud computing in various fields Highlights the methodologies for optimizing resource utilization, make-span, and energy consumption in cloud environment