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http://arks.princeton.edu/ark:/88435/dsp01j9602354g
Title: | Resource-Efficient Management of Large-Scale Public Cloud Systems |
Authors: | Shahrad, Mohammad |
Advisors: | Wentzlaff, David |
Contributors: | Electrical Engineering Department |
Keywords: | cloud computing function as a service infrastructure as a service resource management resource scheduling serverless computing |
Subjects: | Computer engineering Computer science Electrical engineering |
Issue Date: | 2020 |
Publisher: | Princeton, NJ : Princeton University |
Abstract: | Cloud computing plays an integral role in almost every aspect of today's IT-driven society. The ever-increasing scale and complexity of public cloud infrastructure, together with the wide range of services enabled by it, make it easy to leave efficiency behind. Efficiency has always been crucial for cloud providers due to the massive capital expenditure. However, it has become much more relevant as the free ride of Moore's Law and Dennard Scaling is nearing an end. This dissertation explores various ways to increase the efficiency of future public cloud systems. The proposed solutions span across deployment models, resource management policies, and microarchitectural changes. A primary conclusion of this dissertation is the importance of vertical integration in ensuring high efficiency. Moreover, it is essential to consider user behavior and put incentives in place for them to use cloud services efficiently. |
URI: | http://arks.princeton.edu/ark:/88435/dsp01j9602354g |
Alternate format: | The Mudd Manuscript Library retains one bound copy of each dissertation. Search for these copies in the library's main catalog: catalog.princeton.edu |
Type of Material: | Academic dissertations (Ph.D.) |
Language: | en |
Appears in Collections: | Electrical Engineering |
Files in This Item:
File | Description | Size | Format | |
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Shahrad_princeton_0181D_13410.pdf | 14.5 MB | Adobe PDF | View/Download |
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