The Resource Computation and storage in the cloud : understanding the trade-offs, Dong Yuan, Yun Yang and Jinjun Chen
Computation and storage in the cloud : understanding the trade-offs, Dong Yuan, Yun Yang and Jinjun Chen
Resource Information
The item Computation and storage in the cloud : understanding the trade-offs, Dong Yuan, Yun Yang and Jinjun Chen represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.This item is available to borrow from 1 library branch.
Resource Information
The item Computation and storage in the cloud : understanding the trade-offs, Dong Yuan, Yun Yang and Jinjun Chen represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.
This item is available to borrow from 1 library branch.
- Summary
- Computation and Storage in the Cloud is the first comprehensive and systematic work investigating the issue of computation and storage trade-off in the cloud in order to reduce the overall application cost. Scientific applications are usually computation and data intensive, where complex computation tasks take a long time for execution and the generated datasets are often terabytes or petabytes in size. Storing valuable generated application datasets can save their regeneration cost when they are reused, not to mention the waiting time caused by regeneration. However, the large size of the scientific datasets is a big challenge for their storage. By proposing innovative concepts, theorems and algorithms, this book will help bring the cost down dramatically for both cloud users and service providers to run computation and data intensive scientific applications in the cloud. Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and usersDescribes several novel strategies for storing application datasets in the cloudIncludes real-world case studies of scientific research applications Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users Describes several novel strategies for storing application datasets in the cloud Includes real-world case studies of scientific research applications
- Language
- eng
- Extent
- 1 online resource
- Contents
-
- 1. Introduction
- 2. Literature review
- 3. Motivating example and research issues
- 4. Cost model of data set storage in the cloud
- 5. Minimum cost benchmarking approaches
- 6. Cost-effective data set storage strategies
- 7. Experiments and evaluations
- 8. Conclusions and contributions
- Isbn
- 9780124078796
- Label
- Computation and storage in the cloud : understanding the trade-offs
- Title
- Computation and storage in the cloud
- Title remainder
- understanding the trade-offs
- Statement of responsibility
- Dong Yuan, Yun Yang and Jinjun Chen
- Language
- eng
- Summary
- Computation and Storage in the Cloud is the first comprehensive and systematic work investigating the issue of computation and storage trade-off in the cloud in order to reduce the overall application cost. Scientific applications are usually computation and data intensive, where complex computation tasks take a long time for execution and the generated datasets are often terabytes or petabytes in size. Storing valuable generated application datasets can save their regeneration cost when they are reused, not to mention the waiting time caused by regeneration. However, the large size of the scientific datasets is a big challenge for their storage. By proposing innovative concepts, theorems and algorithms, this book will help bring the cost down dramatically for both cloud users and service providers to run computation and data intensive scientific applications in the cloud. Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and usersDescribes several novel strategies for storing application datasets in the cloudIncludes real-world case studies of scientific research applications Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users Describes several novel strategies for storing application datasets in the cloud Includes real-world case studies of scientific research applications
- Cataloging source
- N$T
- http://library.link/vocab/creatorName
- Yuan, Dong
- Dewey number
- 004.6782
- Index
- no index present
- LC call number
- QA76.585
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
-
- Yang, Yun
- Chen, Jinjun
- http://library.link/vocab/subjectName
-
- Cloud computing
- Virtual storage (Computer science)
- COMPUTERS
- COMPUTERS
- Cloud computing
- Virtual storage (Computer science)
- Cloud Computing
- Speicher
- Label
- Computation and storage in the cloud : understanding the trade-offs, Dong Yuan, Yun Yang and Jinjun Chen
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- 1. Introduction -- 2. Literature review -- 3. Motivating example and research issues -- 4. Cost model of data set storage in the cloud -- 5. Minimum cost benchmarking approaches -- 6. Cost-effective data set storage strategies -- 7. Experiments and evaluations -- 8. Conclusions and contributions
- Control code
- 826857706
- Dimensions
- unknown
- Extent
- 1 online resource
- File format
- unknown
- Form of item
- online
- Isbn
- 9780124078796
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- http://library.link/vocab/ext/overdrive/overdriveId
-
- cl0500000215
- 7e1207b2-7c70-47f8-bba0-9892612584c0
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)826857706
- Label
- Computation and storage in the cloud : understanding the trade-offs, Dong Yuan, Yun Yang and Jinjun Chen
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- 1. Introduction -- 2. Literature review -- 3. Motivating example and research issues -- 4. Cost model of data set storage in the cloud -- 5. Minimum cost benchmarking approaches -- 6. Cost-effective data set storage strategies -- 7. Experiments and evaluations -- 8. Conclusions and contributions
- Control code
- 826857706
- Dimensions
- unknown
- Extent
- 1 online resource
- File format
- unknown
- Form of item
- online
- Isbn
- 9780124078796
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- http://library.link/vocab/ext/overdrive/overdriveId
-
- cl0500000215
- 7e1207b2-7c70-47f8-bba0-9892612584c0
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)826857706
Library Links
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.mst.edu/portal/Computation-and-storage-in-the-cloud-/8OGMKVsXCIE/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.mst.edu/portal/Computation-and-storage-in-the-cloud-/8OGMKVsXCIE/">Computation and storage in the cloud : understanding the trade-offs, Dong Yuan, Yun Yang and Jinjun Chen</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.mst.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.mst.edu/">Missouri University of Science & Technology Library</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data - Experimental
Data Citation of the Item Computation and storage in the cloud : understanding the trade-offs, Dong Yuan, Yun Yang and Jinjun Chen
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.mst.edu/portal/Computation-and-storage-in-the-cloud-/8OGMKVsXCIE/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.mst.edu/portal/Computation-and-storage-in-the-cloud-/8OGMKVsXCIE/">Computation and storage in the cloud : understanding the trade-offs, Dong Yuan, Yun Yang and Jinjun Chen</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.mst.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.mst.edu/">Missouri University of Science & Technology Library</a></span></span></span></span></div>