A new automated approach to cloud population
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012. === This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. === Cataloged from student-submi...
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ndltd-MIT-oai-dspace.mit.edu-1721.1-768362019-05-02T16:14:22Z A new automated approach to cloud population Tam, Hoki Hari Balakrishnan and Brad Meiseles. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (p. 103-104). This thesis presents vCloud Populator, a new approach to automating the cloud population process on VMware vCloud Director. Cloud population is the process during which a cloud instance is populated with entities to reflect a particular desired state. It is generally done by developers manually to render their cloud into a certain state for a quick and easy manual testing of features. However, manual cloud population can be very complex and time-consuming. The main goal of the vCloud Populator project is to reduce the amount of time that developers spend on populating a vCloud Director instance manually. The vCloud Populator approach involves the design of a new domain-specific language to describe a desired cloud state and the implementation of a system to generate a dynamic execution plan to populate a vCloud Director instance given by the state captured by a input script written in the said language. by Hoki Tam. M.Eng. 2013-02-14T14:49:09Z 2013-02-14T14:49:09Z 2012 2012 Thesis http://hdl.handle.net/1721.1/76836 825563012 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 104 p. application/pdf Massachusetts Institute of Technology |
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Electrical Engineering and Computer Science. |
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Electrical Engineering and Computer Science. Tam, Hoki A new automated approach to cloud population |
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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012. === This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. === Cataloged from student-submitted PDF version of thesis. === Includes bibliographical references (p. 103-104). === This thesis presents vCloud Populator, a new approach to automating the cloud population process on VMware vCloud Director. Cloud population is the process during which a cloud instance is populated with entities to reflect a particular desired state. It is generally done by developers manually to render their cloud into a certain state for a quick and easy manual testing of features. However, manual cloud population can be very complex and time-consuming. The main goal of the vCloud Populator project is to reduce the amount of time that developers spend on populating a vCloud Director instance manually. The vCloud Populator approach involves the design of a new domain-specific language to describe a desired cloud state and the implementation of a system to generate a dynamic execution plan to populate a vCloud Director instance given by the state captured by a input script written in the said language. === by Hoki Tam. === M.Eng. |
author2 |
Hari Balakrishnan and Brad Meiseles. |
author_facet |
Hari Balakrishnan and Brad Meiseles. Tam, Hoki |
author |
Tam, Hoki |
author_sort |
Tam, Hoki |
title |
A new automated approach to cloud population |
title_short |
A new automated approach to cloud population |
title_full |
A new automated approach to cloud population |
title_fullStr |
A new automated approach to cloud population |
title_full_unstemmed |
A new automated approach to cloud population |
title_sort |
new automated approach to cloud population |
publisher |
Massachusetts Institute of Technology |
publishDate |
2013 |
url |
http://hdl.handle.net/1721.1/76836 |
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AT tamhoki anewautomatedapproachtocloudpopulation AT tamhoki newautomatedapproachtocloudpopulation |
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1719037060242735104 |