東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ null ]

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Improving Mobile Internet Performance with Cross-Device Network Transport and Cross-Layer Application Adaptation.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Improving Mobile Internet Performance with Cross-Device Network Transport and Cross-Layer Application Adaptation./
作者:	Zhu, Xiao.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
面頁冊數:	199 p.
附註:	Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
Contained By:	Dissertations Abstracts International84-01B.
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29275012
ISBN:	9798438781011

Improving Mobile Internet Performance with Cross-Device Network Transport and Cross-Layer Application Adaptation.
Zhu, Xiao.

Improving Mobile Internet Performance with Cross-Device Network Transport and Cross-Layer Application Adaptation. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 199 p.

Source: Dissertations Abstracts International, Volume: 84-01, Section: B.

Thesis (Ph.D.)--University of Michigan, 2022.

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

The mobile Internet is becoming increasingly complex with a wide diversity of end systems (including wearables and automobiles), the co-presence of multiple devices with collaboration potential, and the growth of user-generated application traffic fueled by improved mobile sensors and wireless access. As the Internet evolves along with these trends, the increased complexity of different components and protocol layers makes it more challenging to achieve high network utilization and meet the diverse QoE requirements for mobile applications. As a result, despite the richness of various network resources, the performance of today's mobile applications still falls behind expectations. To address this challenge, in this dissertation, I demonstrate that with a better understanding of the various components and different protocol layers of the increasingly complex mobile Internet, we can identify unique performance problems and leverage such knowledge to develop network transport protocols with cross-device awareness and application adaptation strategies with cross-layer considerations for better mobile app performance. Specifically, to understand the interaction between multiple mobile devices and its impact on end-to-end performance, we conduct an empirical study on wearable networking, where wearables oftentimes rely on their paired smartphones for Internet access. Based on our measurement findings, we develop cross-device network transport management solutions for improving wearable networking performance. To better support multi-device collaboration in a more general setting, we develop MPBond, a distributed multipath transport system for efficient network-level collaboration among personal mobile devices, with cross-device connection management and packet scheduling. To explore opportunities on the mobile application design, we build Livelyzer, a generalized measurement tool for characterizing commercial live video streaming upstream ingest performance under mobile networks. Based on our measurements, we identify deficiencies in broadcasting app rate adaptation, and propose network-aware adaptation strategies to improve the same. We also investigate another emerging mobile application, vehicular sensing for autonomous driving, where we build Harbor, a cross-layer system architecture for collaborative vehicular sensor data sharing, with adaptive usage of V2V and V2I network resources.

ISBN: 9798438781011Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Networking

Improving Mobile Internet Performance with Cross-Device Network Transport and Cross-Layer Application Adaptation.
LDR:03794nmm a2200421 4500 001 2352280
005 20221118093904.5
008 241004s2022 ||||||||||||||||| ||eng d
020 $a 9798438781011
035 $a (MiAaPQ)AAI29275012
035 $a (MiAaPQ)umichrackham004213
035 $a AAI29275012
040 $a MiAaPQ $c MiAaPQ
100 1 $a Zhu, Xiao. $3 3691899
245 1 0 $a Improving Mobile Internet Performance with Cross-Device Network Transport and Cross-Layer Application Adaptation.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2022
300 $a 199 p.
500 $a Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
500 $a Advisor: Mao, Z. Morley.
502 $a Thesis (Ph.D.)--University of Michigan, 2022.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a The mobile Internet is becoming increasingly complex with a wide diversity of end systems (including wearables and automobiles), the co-presence of multiple devices with collaboration potential, and the growth of user-generated application traffic fueled by improved mobile sensors and wireless access. As the Internet evolves along with these trends, the increased complexity of different components and protocol layers makes it more challenging to achieve high network utilization and meet the diverse QoE requirements for mobile applications. As a result, despite the richness of various network resources, the performance of today's mobile applications still falls behind expectations. To address this challenge, in this dissertation, I demonstrate that with a better understanding of the various components and different protocol layers of the increasingly complex mobile Internet, we can identify unique performance problems and leverage such knowledge to develop network transport protocols with cross-device awareness and application adaptation strategies with cross-layer considerations for better mobile app performance. Specifically, to understand the interaction between multiple mobile devices and its impact on end-to-end performance, we conduct an empirical study on wearable networking, where wearables oftentimes rely on their paired smartphones for Internet access. Based on our measurement findings, we develop cross-device network transport management solutions for improving wearable networking performance. To better support multi-device collaboration in a more general setting, we develop MPBond, a distributed multipath transport system for efficient network-level collaboration among personal mobile devices, with cross-device connection management and packet scheduling. To explore opportunities on the mobile application design, we build Livelyzer, a generalized measurement tool for characterizing commercial live video streaming upstream ingest performance under mobile networks. Based on our measurements, we identify deficiencies in broadcasting app rate adaptation, and propose network-aware adaptation strategies to improve the same. We also investigate another emerging mobile application, vehicular sensing for autonomous driving, where we build Harbor, a cross-layer system architecture for collaborative vehicular sensor data sharing, with adaptive usage of V2V and V2I network resources.
590 $a School code: 0127.
650 4 $a Computer science. $3 523869
650 4 $a Computer engineering. $3 621879
650 4 $a Systems science. $3 3168411
650 4 $a Information science. $3 554358
653 $a Networking
653 $a Mobile computing
653 $a Transport protocols
653 $a Application protocols
653 $a Cross-layer
653 $a Cross-device
690 $a 0984
690 $a 0464
690 $a 0723
690 $a 0790
710 2 $a University of Michigan. $b Computer Science & Engineering. $3 3285590
773 0 $t Dissertations Abstracts International $g 84-01B.
790 $a 0127
791 $a Ph.D.
792 $a 2022
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29275012