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Towards a scalable, adaptive and net...
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Chen, Yan.
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Towards a scalable, adaptive and network-aware content distribution network.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Towards a scalable, adaptive and network-aware content distribution network./
作者:
Chen, Yan.
面頁冊數:
215 p.
附註:
Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0832.
Contained By:
Dissertation Abstracts International65-02B.
標題:
Computer Science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3121430
ISBN:
0496687816
Towards a scalable, adaptive and network-aware content distribution network.
Chen, Yan.
Towards a scalable, adaptive and network-aware content distribution network.
- 215 p.
Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0832.
Thesis (Ph.D.)--University of California, Berkeley, 2003.
The Internet has evolved to become a critical commercial infrastructure for service delivery. However, the Internet being an enormous, highly-dynamic, heterogeneous, and untrusted environment raises several challenges for building Internet-scale services (such as content delivery) with good scalability, efficiency, agility and security. In this thesis, we explore these issues by developing a scalable, adaptive and network-aware infrastructure for efficient content delivery, namely Scalable Content Access Network (SCAN).
ISBN: 0496687816Subjects--Topical Terms:
626642
Computer Science.
Towards a scalable, adaptive and network-aware content distribution network.
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The Internet has evolved to become a critical commercial infrastructure for service delivery. However, the Internet being an enormous, highly-dynamic, heterogeneous, and untrusted environment raises several challenges for building Internet-scale services (such as content delivery) with good scalability, efficiency, agility and security. In this thesis, we explore these issues by developing a scalable, adaptive and network-aware infrastructure for efficient content delivery, namely Scalable Content Access Network (SCAN).
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SCAN has four components: object location, replica placement and update multicast tree construction, replica management, and overlay network monitoring services.
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First, we propose a novel simulation-based network Denial of Service (DoS) resilience benchmark, and apply it to evaluate and compare the centralized, replicated, and emerging distributed object location services.
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Second, we propose the first algorithm that dynamically places close to optimal number of replicas while meeting client QoS and server resource constraint, with overlay network topology only.
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Third, we apply cooperative clustering-based replication to SCAN, which achieves comparable users' perceived performance to the conventional CDNs, while having only 4--5% of replication and update traffic, and 1--2% of the computation and replica management cost.
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Fourth, to provide a general foundation for applications to take advantage of network awareness, we develop a scalable overlay network measurement and monitoring system with two components: Internet Iso-bar for latency estimation, and TOM (Tomography-based Overlay network Monitoring) for loss rate estimation.
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TOM selectively monitors and measures the loss rates of a minimal basis set of O(n log n) linearly independent paths, and then applies them to estimate the loss rates of all other paths.
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Finally, to demonstrate the effectiveness of the monitoring services, we develop a adaptive overlay streaming media system which leverages our monitoring services for real-time path congestion/failure information, and an overlay network for adaptive packet relaying and buffering within the delivery infrastructure. (Abstract shortened by UMI.)
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