國立虎尾科技大學 |

Data-Driven Management of CDN Performance.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Data-Driven Management of CDN Performance./
Author:	Ghasemi, Mojgan.
Description:	1 online resource (142 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.
Contained By:	Dissertation Abstracts International79-05B(E).
Subject:	Computer science. -
Online resource:	click for full text (PQDT)
ISBN:	9780355480078

Data-Driven Management of CDN Performance.
Ghasemi, Mojgan.

Data-Driven Management of CDN Performance. - 1 online resource (142 pages)

Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

Content Distribution Networks (CDNs) carry most of the web content, with the goals of offering good performance to users at a low cost. In this thesis, we introduce measurement and analysis techniques to help CDNs balance these goals.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355480078Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

Data-Driven Management of CDN Performance.
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245 1 0 $a Data-Driven Management of CDN Performance.
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300 $a 1 online resource (142 pages)
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500 $a Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.
500 $a Adviser: Jennifer Rexford.
502 $a Thesis (Ph.D.) $c Princeton University $d 2017.
504 $a Includes bibliographical references
520 $a Content Distribution Networks (CDNs) carry most of the web content, with the goals of offering good performance to users at a low cost. In this thesis, we introduce measurement and analysis techniques to help CDNs balance these goals.
520 $a First, we allocate resources efficiently across the distributed edge servers by jointly minimizing network latency and cache misses. We propose a unified framework for CDNs to jointly solve the problems of placement, mapping, and disk allocation, while including the impact of cache misses. We evaluate our methods using request logs from a commercial CDN. We show that including the impact of cache misses in the post-mapping disk allocation enhances the performance significantly for a small increase in the cost. Still, there are other sources of performance problems on the end-to-end (e2e) path of the servers to clients, which takes us to the next part.
520 $a Second, to detect and diagnose performance problems that cause poor experience for users, we propose a fine-grained instrumentation of the e2e path. In particular, we focus on the video delivery path because video is now the dominant application of the Internet. We deploy our instrumentation and diagnosis methods in a commercial content provider, enabling us to join the server-side, TCP statistics, and client-side measurements for the first time, and characterize the performance problems in a large set of videos. We uncover a wide range of problems, some of which were unknown before, and can only be discovered by an e2e instrumentation. While capable of diagnosing these problems, our tool is limited in how frequently it measurers network. To remedy this, we propose our final solution.
520 $a Finally, we dive deeper into diagnosing network problems by monitoring TCP connections directly in the network devices. Our tool can pinpoint if the performance of a TCP connection is hindered by the sender, receiver, or network. We deploy emerging programmable edge devices to implement our monitoring and diagnosis logic directly in the data plane, which runs at line-rate, without cooperation from servers. We infer fine-grained TCP metrics from the edge device (e.g, NIC), without imposing storage or monitoring overhead on the servers.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 573171
650 4 $a Computer engineering. $3 569006
655 7 $a Electronic books. $2 local $3 554714
690 $a 0984
690 $a 0464
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Princeton University. $b Electrical Engineering. $3 1181685
773 0 $t Dissertation Abstracts International $g 79-05B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10602867 $z click for full text (PQDT)