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Achieving User-Oriented Efficient and Scalable Cloud Computing with Edge Assistance.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Achieving User-Oriented Efficient and Scalable Cloud Computing with Edge Assistance./
作者:	Bai, Yongshu.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	133 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Contained By:	Dissertations Abstracts International83-02B.
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28541335
ISBN:	9798534663617

Achieving User-Oriented Efficient and Scalable Cloud Computing with Edge Assistance.
Bai, Yongshu.

Achieving User-Oriented Efficient and Scalable Cloud Computing with Edge Assistance. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 133 p.

Source: Dissertations Abstracts International, Volume: 83-02, Section: B.

Thesis (Ph.D.)--State University of New York at Binghamton, 2021.

This item must not be sold to any third party vendors.

Cloud services have been becoming an indispensable part of people's lives. However, our studies suggest that existing cloud computing services are unfriendly for user devices in two notable aspects. First, we find that existing cloud services are usually optimized for cloud infrastructures instead of user devices. As a result, user devices can suffer from unnecessary energy and network bandwidth consumption. Second, it is difficult for the existing cloud infrastructure to achieve personalized services which are highly useful for users. To solve the problems, we propose to utilize the emerging edge computing capabilities to optimize existing cloud services for user devices and to enable personalized services. Following this approach, we have designed and implemented three systems toward the goal of achieving user-oriented efficient and scalable cloud computing by using edge assistance.First, we demonstrate that with the existing cloud storage services, mobile apps suffer from several notable problems, such as uncoordinated cloud backup, inefficient folder synchronization, which can significantly undermine user experiences. To solve the problem, we design and implement StoArranger, a system framework that enables user-oriented efficiency by coordinating, rearranging, and transforming cloud storage communication on mobile devices itself without affecting the cloud infrastructure.Second, many existing cloud services rely on RESTful APIs. We show that while useful for cloud providers, RESTful web APIs cause excessive network bandwidth consumption on user devices. To solve this dilemma, we propose Edge-hosted personal service (EPS for short), a novel architecture to deploy device-oriented optimization on the edge devices. Based on EPS, we design a system prototype, named Edged-based web Traffic Adaptation (ETA), to solve the excessive bandwidth consumption caused by many web/cloud services that adopt the REST architecture.Third, we show that the combination of lightweight virtual machines (VMs) and the emerging unikernel paradigm is promising for supporting EPSes. However, existing VM memory management is not suitable for unikernel-based VMs. To address the problem, we propose a new memory management mechanism for hypervisors. The new mechanism creatively utilizes VM forking to improve the scalability of unikernel-based VMs running on resource-constrained edge devices.

ISBN: 9798534663617Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Virtualization

Achieving User-Oriented Efficient and Scalable Cloud Computing with Edge Assistance.
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