Resource demand and supply in BitTorrent content-sharing communities

Andrade, Nazareno; Santos‐Neto, Elizeu; Brasileiro, Francisco; Ripeanu, Matei

doi:10.1016/j.comnet.2008.09.029

Cited by 47 publications

(68 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Measurement studies show that compared to open/public communities they (i) usually provide their users with superior performance compared to open communities [17], (ii) differ with respect to torrent evolution, content distribution [4] and their users behaviors [5], and (iii) have different resource demand and supply [1]. At the same time, several drawbacks of these highly incentivized systems have been identified.…”

Section: Related Workmentioning

confidence: 99%

On the sustainability of credit-based P2P communities

Vinkó

Najzer

2015

Cent Eur J Oper Res

View full text Add to dashboard Cite

Evidences show that besides their incredible performance, private BitTorrent communities which employ credit-based contribution incentives can also confront with system seize-up. Although the sustainability of these communities can be established in a wide range of system parameters, it is still not fully understood under what initial conditions can this be assured. In this paper, with the usage of extensive simulation results, we investigate the effects of the file size and the impact of initial credit amount distribution in order to deduce further conditions of sustainability.

show abstract

Section: Related Workmentioning

confidence: 99%

On the sustainability of credit-based P2P communities

Vinkó

Najzer

2015

Cent Eur J Oper Res

View full text Add to dashboard Cite

show abstract

“…Moreover, log traces are often problematic to obtain as they require agreement from content providers. The second group uses crawling (or spidering) techniques [8], [9], [16], [18], [20]. In order to obtain a comprehensive picture of the entire set of BitTorrent swarms, a crawler periodically contacts each tracker to obtain all the peer addresses that have been tracked.…”

Section: Tracker-level Measurementsmentioning

confidence: 99%

Deep Inspection of Unreachable BitTorrent Swarms

Yoshida

Nakao

2013

IEICE Trans. Inf. & Syst.

View full text Add to dashboard Cite

Masahiro YOSHIDA †a) , Nonmember and Akihiro NAKAO †b) , Member SUMMARYBitTorrent is one of the most popular P2P file sharing applications worldwide. Each BitTorrent network is called a swarm, and millions of peers may join multiple swarms. However, there are many unreachable peers (NATed (network address translated), firewalled, or inactive at the time of measurement) in each swarm; hence, existing techniques can only measure a part of all the peers in a swarm. In this paper, we propose an improved measurement method for BitTorrent swarms that include many unreachable peers. In essence, NATed peers and those behind firewalls are found by allowing them to connect to our crawlers by actively advertising our crawlers' addresses. Evaluation results show that the proposed method increases the number of unique contacted peers by 112% compared to the conventional method. Moreover, the proposed method increases the total volume of downloaded pieces by 66%. We investigate the sampling bias among the proposed and conventional methods, and we find that different measurement methods yield significantly different results.

show abstract

“…Then, the data volume is the product between the sampling rate and the measurement duration; reducing either leads to lower data volumes, but may also lead to inaccuracy. Rates of a sample every 2.5 [3,9] to 30 minutes [10], and durations of a few days [9] to a few months [2] have been used in practice.…”

Section: Data Volumementioning

confidence: 99%

“…Thus, including in the measurement fewer communities and swarms may reduce the volume of acquired data without reducing accuracy. Until the recent study of four communities [10], measurements have often focused on one community [3,9], and even on only one swarm [2].…”

Section: Data Volumementioning

confidence: 99%

“…In the Internet community, this "search for invariants" process [7] fostered many new research opportunities [8]. From the large number of empirical BitTorrent measurements [2,3,9,10], few [9,10] consider even aspects of the sampling bias problem. Second, understanding sampling biases leads to better understanding of the usage of measurement techniques, which is key to designing and improving BitTorernt measurements.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sampling Bias in BitTorrent Measurements

Zhang

Iosup

Pouwelse

et al. 2010

Euro-Par 2010 - Parallel Processing

View full text Add to dashboard Cite

Abstract. Real-world measurements play an important role in understanding the characteristics and in improving the operation of BitTorrent, which is currently a popular Internet application. Much like measuring the Internet, the complexity and scale of the BitTorrent network make a single, complete measurement impractical. While a large number of measurements have already employed diverse sampling techniques to study parts of BitTorrent network, until now there exists no investigation of their sampling bias, that is, of their ability to objectively represent the characteristics of BitTorrent. In this work we present the first study of the sampling bias in BitTorrent measurements. We first introduce a novel taxonomy of sources of sampling bias in BitTorrent measurements. We then investigate the sampling among fifteen long-term BitTorrent measurements completed between 2004 and 2009, and find that different data sources and measurement techniques can lead to significantly different measurement results. Last, we formulate three recommendations to improve the design of future BitTorrent measurements, and estimate the cost of using these recommendations in practice.

show abstract

Resource demand and supply in BitTorrent content-sharing communities

Cited by 47 publications

References 23 publications

On the sustainability of credit-based P2P communities

On the sustainability of credit-based P2P communities

Deep Inspection of Unreachable BitTorrent Swarms

Sampling Bias in BitTorrent Measurements

Contact Info

Product

Resources

About