Towards automating overlay network management

Al‐Oqily, Ibrahim; Karmouch, Ahmed

doi:10.1016/j.jnca.2008.02.013

Cited by 10 publications

(4 citation statements)

References 22 publications

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“…A list of trackers to be connected can be given by content providers or the peers can report the list of trackers that they have contacted when they access to their trackers. A specific method for overlay construction and management is out of the scope of this paper but [11] may be used.…”

Section: Tracker-based Swarm Monitoring (Bittorrent Swarming)mentioning

confidence: 99%

Caching-Based Multi-Swarm Collaboration for Improving Content Availability in BitTorrent

Lee

Yoshida

Nakao

2012

IEICE Trans. Inf. & Syst.

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SUMMARYDespite its great success, BitTorrent suffers from the content unavailability problem where peers cannot complete their content downloads due to some missing chunks, which is caused by a shortage of seeders who hold the content in its entirety. The multi-swarm collaboration approach is a natural choice for improving content availability, since content unavailability cannot be overcome by one swarm easily. Most existing multi-swarm collaboration approaches, however, suffer from contentrelated limitations, which limit their application scopes. In this paper, we introduce a new kind of multi-swarm collaboration utilizing a swarm as temporal storage. In a nutshell, the collaborating swarms cache some chunks of each other that are likely to be unavailable before the content unavailability happens and share the cached chunks when the content unavailability happens. Our approach enables any swarms to collaborate with each other without the content-related limitations. Simulation results show that our approach increases the number of download completions by over 50% (26%) compared to normal BitTorrent (existing bundling approach) with low overhead. In addition, our approach shows around 30% improved download completion time compared to the existing bundling approach. The results also show that our approach enables the peers participating in our approach to enjoy better performance than other peers, which can be a peer incentive.

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Section: Tracker-based Swarm Monitoring (Bittorrent Swarming)mentioning

confidence: 99%

Caching-Based Multi-Swarm Collaboration for Improving Content Availability in BitTorrent

Lee

Yoshida

Nakao

2012

IEICE Trans. Inf. & Syst.

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“…This will meet not only specific demands of users but also those of the network and service providers. Al-Oqily et al [76] present an approach to the issue of automating overlay network management, but in contrast to existing management approaches which require static a priori policy configurations, policies are created dynamically. A policy layer consists of a set of policy enforcement points and policy decision points.…”

Section: Other Overlay Network Challengesmentioning

confidence: 99%

Overview and Challenges of Overlay Networks: A Survey

Jimenez¹,

Cervero²

2011

IJCSES

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“…Content provider(s) can make a list of trackers to be connected or the peers can report a list of trackers that they have contacted to the tracker when joining the swarm. A specific method for overlay construction and management is out of the scope of this paper but existing approach [13] can be used. Each tracker manages two ordered lists of swarms.…”

Section: Swarm Matchingmentioning

confidence: 99%

SeederTrading: Trading Swarm Capacity for Improving Content Distribution

Lee

Yoshida

Nakao

2011

2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and PHD Forum

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A surplus seeding capacity is often observed in large swarms with many seeders while small swarms with few seeders suffer from low download performance. In this paper, we propose a multi-swarm collaboration approach, called SeederTrading to improve overall content distribution performance by exploiting non-uniform distribution of seeders over swarms. In a nutshell, we enable the over-seeded swarms to share their surplus seeding capacity with the under-seeded swarms. To realize the SeederTrading, we resolve several issues including estimation of swarm capacity, selection of swarms to be matched, and seeder trading across the selected swarms. Our extensive measurement shows that 12.9% of under-seeded swarms can achieve their maximum download throughput by utilizing the surplus seeding capacity. Simulation results show that the under-seeded swarms can improve the download performance by over 20% while retaining the content distribution performance of over-seeded swarms. We also show that the trading seeding capacity across swarms can be done within 60 seconds.

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Towards automating overlay network management

Cited by 10 publications

References 22 publications

Caching-Based Multi-Swarm Collaboration for Improving Content Availability in BitTorrent

Caching-Based Multi-Swarm Collaboration for Improving Content Availability in BitTorrent

Overview and Challenges of Overlay Networks: A Survey

SeederTrading: Trading Swarm Capacity for Improving Content Distribution

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