Learn More
We present what we believe to be the first thorough characterization of <i>live</i> streaming media content delivered over the Internet. Our characterization of over 3.5 million requests spanning a 28-day period is done at three increasingly granular levels, corresponding to clients, sessions, and transfers. Our findings support two important conclusions.(More)
The relative importance of long-term popularity and short-term temporal correlation of references for Web cache replacement policies has not been studied thoroughly. This is partially due to the lack of accurate characterization of temporal locality that enables the identi cation of the relative strengths of these two sources of temporal locality in a(More)
Traffic application classification is an essential step in the network management process to provide high availability of network services. However, network management has seen limited use of traffic classification because of the significant overheads of existing techniques. In this context we explore the feasibility and performance of lightweight traffic(More)
Emerging multi-hop wireless mesh networks have much different characteristics than the Internet. They have low dimensionality and large diameters. Content and service replication can greatly improve their scalability. However, replication strategies in such networks have not been well studied. This paper studies the optimality of replication strategies and(More)
This paper presents a tool called G<sc>ISMO</sc> (Generator of Internet Streaming Media Objects and workloads). G<sc>ISMO</sc> enables the specification of a number of streaming media access characteristics, including object popularity, temporal correlation of request, seasonal access patterns, user session durations, user inter-activity times, and variable(More)
The increasing diversity of Internet application requirements has spurred recent interest in transport protocols with flexible transmission controls. In window-based congestion control schemes, increase rules determine how to probe available bandwidth, whereas decrease rules determine how to back off when losses due to congestion are detected. The control(More)
Temporal locality of reference in Web request streams emerges from two distinct phenomena: the popularity of Web objects and the temporal correlation of requests. Capturing these two elements of temporal locality is important because it enables cache replacement policies to adjust how they capitalize on temporal locality based on the relative prevalence of(More)