مدیریت کارآمد سیستمهای رایانش ابری عمومی با مقیاس بزرگ
General Material Designation
[Thesis]
First Statement of Responsibility
Shahrad, Mohammad
Subsequent Statement of Responsibility
Wentzlaff, David
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
Princeton University
Date of Publication, Distribution, etc.
2020
GENERAL NOTES
Text of Note
161 p.
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
Ph.D.
Body granting the degree
Princeton University
Text preceding or following the note
2020
SUMMARY OR ABSTRACT
Text of Note
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.