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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 ****