Learn More
Understanding how users behave when they connect to social networking sites creates opportunities for better interface design, richer studies of social interactions, and improved design of content distribution systems. In this paper, we present a first of a kind analysis of user workloads in online social networks. Our study is based on detailed clickstream(More)
Traditionally, users have discovered information on the Web by browsing or searching. Recently, word-of-mouth has emerged as a popular way of discovering the Web, particularly on social networking sites like Facebook and Twitter. On these sites, users discover Web content by following URLs posted by their friends. Such word-of-mouth based content discovery(More)
Performance analysis and capacity planning for e-commerce sites poses an interesting problem: how to best characterize the workload of these sites. Tradition al workload characterization methods, based on hits/set, page views/set, or visits/set, are not appropriate for e-commerce sites. In these environments, customers interact with the site through a(More)
Most parallel jobs cannot be fully parallelized. In a homogeneous parallel machine | one in which all processors are identical | the serial fraction of the computation has to be executed at the speed of any of the identical processors, limiting the speedup that can be obtained due to parallelism. In a heterogeneous architecture, the sequential bottleneck(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)
A number of online video social networks, out of which YouTube is the most popular, provides features that allow users to post a video as a response to a discussion topic. These features open opportunities for users to introduce polluted content, or simply pollution, into the system. For instance, <i>spammers</i> may post an unrelated video as response to a(More)
Online social networks pose an interesting problem: how to best characterize the different classes of user behavior. Traditionally, user behavior characterization methods, based on user individual features, are not appropriate for online networking sites. In these environments, users interact with the site and with other users through a series of multiple(More)
Understanding the nature and characteristics of e-business workloads is a crucial step to improve the quality of service offered to customers in electronic business environments. However, the variety and complexity of the interactions between customers and sites make the characterization of e-business workloads a challenging problem. Using a multi-layer(More)
The rapid increase in the volume of unsolicited commercial e-mails, also known as spam, is beginning to take its toll in system administrators, business corporations and end-users. Widely varying estimates of the cost associated with spam are available in the literature. However, a quantitative analysis of the determinant characteristics of spam traffic is(More)