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Resource management and optimization in content oriented networks
PhD Thesis Proposal Defence
Title: "Resource management and optimization in content oriented networks"
by
Mr. Min WANG
Abstract:
Today, the Internet is increasingly a platform of online services and
massive content diffusion has become a daily routine over the Internet.
However, the Internet was originally designed to primarily support
pairwise host-to-host communications and thus is poorly suited for content
dissemination among multiple hosts. With video content becoming
increasingly dominant and voluminous, the host-centric paradigm reveals
its inefficiencies more seriously. In recent years, we have seen a variety
of attempts to provide more efficient content delivery support for the
Internet, including i) the research efforts of content-centric networking
(CCN) as a clean-slate redesign of the Internet architecture; ii) the wide
adoption of CDN services; and iii) the fast expansion of cloud
infrastructures offering vital support for modern data-intensive
applications. We coin all these attempts to make the Internet a better
platform for content distribution as the "content-oriented networks". In
this thesis, we address several important resource management and
optimization problems in those content-oriented networks.
This thesis consists of three parts. The first part is about content
management in CCN. One of the defining features of CCN is pervasive
in-network caching. The original CCN proposal adopts the ubiquitous-LRU
caching scheme, which leads to serious on-path redundancy and poor overall
caching performance. We begin with proposing a new caching scheme PCP and
demonstrate via trace-driven simulations that PCP outperforms
ubiquitous-LRU in both microscopic and macroscopic views. Apart from PCP,
many other new caching schemes have also been proposed. Most of them
including PCP focus on reducing on-path cache redundancy by invoking
either explicit or implicit cooperations between nodes along the response
path. This general approach inherently suffers from issues of scalability
and hurdles of uniform enforcement across different ASes. To overcome
these limitations, we next propose an intra-AS cache cooperation scheme
iCCS, which commits to eliminating both on-path and off-path cache
redundancy within an AS via a periodic independent procedure. We formulate
the cooperative redundancy elimination problem CRE-P and then propose a
distributed greedy algorithm. Through trace-based simulations on multiple
realistic network topologies, we show that iCCS significantly shortens the
request-response latency and dramatically reduces the amount of transit
traffic without increasing internal link congestions. After that, we study
the content peering problem in CCN by proposing the content-level peering
model (CPP). With extensive numerical experiments under realistic AS-level
peering graphs, we find that interconnectivity of the peering graph
significantly influences the maximum peering benefit, and that cooperative
caching yields higher peering benefits than local greedy caching but is
sensitive to parameters like peering link bandwidth and AS-level cache
size. The second part is about content multi-homing with multiple CDNs. We
propose the MCDN-CM model, aiming to make an optimal operating plan for
the authoritative CDN by deciding how to supply content requests with
guaranteed QoS. We show via numerical experiments under realistic settings
that MCDN-CM achieves a tremendous cost-saving for the authoritative CDN
compared to other approaches. The third part is about traffic management
in inter-data center network. We propose the MCTEQ model, which adopts
utility-based joint-bandwidth allocation for multiple classes of traffic
and in particular provides end-to-end delay guarantee for interactive
flows. We demonstrate via experiments with two realistic inter-data center
networks that MCTEQ achieves about 160 Gbps higher network utilization
than the best existing solutions, while running at least twice faster.
Date: Tuesday, 24 March 2015
Time: 10:30am - 12:30pm
Venue: Room 3494
lifts 25/26
Committee Members: Dr. Brahim Bensaou (Supervisor)
Dr. Pan Hui (Chairperson)
Prof. Gary Chan
Dr. Jogesh Muppala
**** ALL are Welcome ****