The feasibility of supporting large-scale live streaming applications with dynamic application end-points Export

@article{feasibility_p2p_streaming, abstract = {While application end-point architectures have proven to be viable solutions for large-scale distributed applications such as distributed computing and file-sharing, there is little known about its feasibility for more bandwidth-demanding applications such as live streaming. Heterogeneity in bandwidth resources and dynamic group membership, inherent properties of application end-points, may adversely affect the construction of a usable and efficient overlay. At large scales, the problems become even more challenging. In this paper, we study one of the most prominent architectural issues in overlay multicast: the feasibility of supporting large-scale groups using an application end-point architecture. We look at three key requirements for feasibility: (i) are there enough resources to construct an overlay, (ii) can a stable and connected overlay be maintained in the presence of group dynamics, and (iii) can an efficient overlay be constructed? Using traces from a large content delivery network, we characterize the behavior of users watching live audio and video streams. We show that in many common real-world scenarios, all three requirements are satisfied. In addition, we evaluate the performance of several design alternatives and show that simple algorithms have the potential to meet these requirements in practice. Overall, our results argue for the feasibility of supporting large-scale live streaming using an application end-point architecture.}, address = {New York, NY, USA}, author = {Sripanidkulchai, Kunwadee and Ganjam, Aditya and Maggs, Bruce and Zhang, Hui}, citeulike-article-id = {1285626}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1030194.1015480}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1030194.1015480}, doi = {10.1145/1030194.1015480}, issn = {0146-4833}, journal = {SIGCOMM Comput. Commun. Rev.}, keywords = {analysis, comparison, p2p, streaming}, month = {October}, number = {4}, pages = {107--120}, posted-at = {2007-05-09 17:29:51}, priority = {2}, publisher = {ACM}, title = {The feasibility of supporting large-scale live streaming applications with dynamic application end-points}, url = {http://dx.doi.org/10.1145/1030194.1015480}, volume = {34}, year = {2004} }

TY - JOUR ID - feasibility_p2p_streaming L3 - citeulike-article-id:1285626 N2 - While application end-point architectures have proven to be viable solutions for large-scale distributed applications such as distributed computing and file-sharing, there is little known about its feasibility for more bandwidth-demanding applications such as live streaming. Heterogeneity in bandwidth resources and dynamic group membership, inherent properties of application end-points, may adversely affect the construction of a usable and efficient overlay. At large scales, the problems become even more challenging. In this paper, we study one of the most prominent architectural issues in overlay multicast: the feasibility of supporting large-scale groups using an application end-point architecture. We look at three key requirements for feasibility: (i) are there enough resources to construct an overlay, (ii) can a stable and connected overlay be maintained in the presence of group dynamics, and (iii) can an efficient overlay be constructed? Using traces from a large content delivery network, we characterize the behavior of users watching live audio and video streams. We show that in many common real-world scenarios, all three requirements are satisfied. In addition, we evaluate the performance of several design alternatives and show that simple algorithms have the potential to meet these requirements in practice. Overall, our results argue for the feasibility of supporting large-scale live streaming using an application end-point architecture. IS - 4 JF - SIGCOMM Comput. Commun. Rev. SN - 0146-4833 AD - New York, NY, USA EP - 120 TI - The feasibility of supporting large-scale live streaming applications with dynamic application end-points PB - ACM VL - 34 SP - 107 KW - analysis KW - comparison KW - p2p KW - streaming AU - Sripanidkulchai, Kunwadee AU - Ganjam, Aditya AU - Maggs, Bruce AU - Zhang, Hui PY - 2004/10// UR - http://dx.doi.org/10.1145/1030194.1015480 ER -