مدیریت کارآمد سیستمهای رایانش ابری عمومی با مقیاس بزرگ

منو

" مدیریت کارآمد سیستمهای رایانش ابری عمومی با مقیاس بزرگ "
Shahrad, Mohammad Wentzlaff, David

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	1053896
Doc. No	:	TL53013
Main Entry	:	Shahrad, Mohammad
Title & Author	:	مدیریت کارآمد سیستمهای رایانش ابری عمومی با مقیاس بزرگ\ Shahrad, MohammadWentzlaff, David
College	:	Princeton University
Date	:	2020
Degree	:	Ph.D.
student score	:	2020
Note	:	161 p.
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.
Descriptor	:	Computer engineering
	:	Computer science
	:	Electrical engineering
Added Entry	:	Wentzlaff, David
Added Entry	:	Princeton University