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Virtual machine migration in cloud c...
~
Kumar, Raghvendra,
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Virtual machine migration in cloud computing environments
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Virtual machine migration in cloud computing environments/ by Raghvendra Kumar and Dinesh G. Harkut.
作者:
Kumar, Raghvendra,
其他作者:
Harkut, Dinesh G,
出版者:
Hershey, Pennsylvania :Information Science Reference, : 2018.,
面頁冊數:
1 online resource (xxxii, 281 p.)
內容註:
Section 1. Business intelligence and digital economy in the cloud computing environment. Chapter 1. Business intelligence and cloud computing: Benefits, challenges, and trends ; Chapter 2. Digital economy, business models, and cloud computing -- Section 2. Requirements of virtual enterprises. Chapter 3. Cloud-based application integration in virtual enterprises ; Chapter 4. A requirements approach for building an enterprise cloud service catalog -- Section 3. Business models in the cloud computing environment. Chapter 5. Cloud computing for e-governance ; Chapter 6. Providing healthcare services in the virtual environment ; Chapter 7. BIG data: an enabler in developing business models in cloud computing environments -- Section 4. Service models in the manufacturing sector. Chapter 8. Cloud-based design and manufacturing.
標題:
Virtual storage (Computer science) -
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3182-1
ISBN:
9781522531838 (e-book)
Virtual machine migration in cloud computing environments
Kumar, Raghvendra,
Virtual machine migration in cloud computing environments
[electronic resource] /by Raghvendra Kumar and Dinesh G. Harkut. - Hershey, Pennsylvania :Information Science Reference,2018. - 1 online resource (xxxii, 281 p.)
Includes bibliographical references and index.
Section 1. Business intelligence and digital economy in the cloud computing environment. Chapter 1. Business intelligence and cloud computing: Benefits, challenges, and trends ; Chapter 2. Digital economy, business models, and cloud computing -- Section 2. Requirements of virtual enterprises. Chapter 3. Cloud-based application integration in virtual enterprises ; Chapter 4. A requirements approach for building an enterprise cloud service catalog -- Section 3. Business models in the cloud computing environment. Chapter 5. Cloud computing for e-governance ; Chapter 6. Providing healthcare services in the virtual environment ; Chapter 7. BIG data: an enabler in developing business models in cloud computing environments -- Section 4. Service models in the manufacturing sector. Chapter 8. Cloud-based design and manufacturing.
Restricted to subscribers or individual electronic text purchasers.
"This book provides an depth concepts of VM and live migration benefits and techniques and discusses its related research challenges in data center in cloud computing environments. It is a powerful and handy tool for administrators to maintain SLAs while performing optimization tasks and maintenance on the cloud infrastructure"
ISBN: 9781522531838 (e-book)Subjects--Topical Terms:
2045578
Virtual storage (Computer science)
LC Class. No.: QA76.9.V5 / K86 2018e
Dewey Class. No.: 004.6782
Virtual machine migration in cloud computing environments
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Section 1. Business intelligence and digital economy in the cloud computing environment. Chapter 1. Business intelligence and cloud computing: Benefits, challenges, and trends ; Chapter 2. Digital economy, business models, and cloud computing -- Section 2. Requirements of virtual enterprises. Chapter 3. Cloud-based application integration in virtual enterprises ; Chapter 4. A requirements approach for building an enterprise cloud service catalog -- Section 3. Business models in the cloud computing environment. Chapter 5. Cloud computing for e-governance ; Chapter 6. Providing healthcare services in the virtual environment ; Chapter 7. BIG data: an enabler in developing business models in cloud computing environments -- Section 4. Service models in the manufacturing sector. Chapter 8. Cloud-based design and manufacturing.
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"This book provides an depth concepts of VM and live migration benefits and techniques and discusses its related research challenges in data center in cloud computing environments. It is a powerful and handy tool for administrators to maintain SLAs while performing optimization tasks and maintenance on the cloud infrastructure"
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