This paper describes our implementation of and initial experiences with DipZoom (for "Deep Internet Performance Zoom"), a novel approach to provide focused, on-demand Internet measurements. Unlike existing a...
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ISBN:
(纸本)1595936394
This paper describes our implementation of and initial experiences with DipZoom (for "Deep Internet Performance Zoom"), a novel approach to provide focused, on-demand Internet measurements. Unlike existing approaches that face a difficult challenge of building a measurement platform with sufficiently diverse measurements and measuring hosts, DipZoom implements a matchmaking service instead, using P2P concepts to bring together experimenters in need of measurements with external measurement providers. DipZoom offers the following two main contributions. First, since it is just a facilitator for an open community of participants, it promises unprecedented availability of diverse measurements and measuring points. Second, by offering programmatic access to the entire platform from the experimenter's local computer, DipZoom simplifies staging and execution of complex measurement experiments and lowers the bar for obtaining high-quality measurements.
Branch taken rate and transition rate have been proposed as metrics to characterize the branch predictability. However, these two metrics may misclassify branches with regular history patterns as hard-to-predict branc...
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ISBN:
(纸本)9781450302623
Branch taken rate and transition rate have been proposed as metrics to characterize the branch predictability. However, these two metrics may misclassify branches with regular history patterns as hard-to-predict branches, causing an inaccurate and ambiguous view of branch predictability. This study uses autocorrelation to analyze the branch history patterns and presents a new metric Degree of Pattern Irregularity (DPI) for branch classification. The proposed metric is evaluated with different branch predictors, and the results show that DPI significantly improves the quality and the accuracy of branch classification over traditional taken rate and transition rate.
Network traffic measurement and workload characterization are key steps in the workload modeling process. Much has been learned through network measurement and workload modeling in the last ten years, but new challeng...
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As the nature of Web traffic evolves over time, we must update our understanding of underlying nature of today's Web, which is necessary to improve response time, understand caching effectiveness, and to design in...
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ISBN:
(纸本)9781450302623
As the nature of Web traffic evolves over time, we must update our understanding of underlying nature of today's Web, which is necessary to improve response time, understand caching effectiveness, and to design intermediary systems, such as firewalls, security analyzers, and reporting or management systems. In this paper, we analyze five years (2006-2010) of real Web traffic from a globally-distributed proxy system, which captures the browsing behavior of over 70,000 daily users from 187 countries. Using this data set, we examine major changes inWeb traffic characteristics during this period, and also investigate the redundancy of this traffic, using both traditional object-level caching as well as content-based approaches.
Despite the increasing interest in content bundling in BitTorrent systems, there are still few empirical studies on the bundling practice in real BitTorrent communities. In this paper, we conduct comprehensive measure...
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ISBN:
(纸本)9781450302623
Despite the increasing interest in content bundling in BitTorrent systems, there are still few empirical studies on the bundling practice in real BitTorrent communities. In this paper, we conduct comprehensive measurements on one of the largest BitTorrent portals: The Pirate Bay. From the torrents data set collected for 38 days from April to May, 2010, we study how prevalent bundling is and how many files are bundled in a torrent, across different types of contents shared: Movie, Porn, TV, Music, Application, E-book, and Game.
The scalability and computing power of large-scale computational platforms has made them attractive for hosting compute-intensive time-critical applications. Many of these applications are composed of computational ta...
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ISBN:
(纸本)9781605580050
The scalability and computing power of large-scale computational platforms has made them attractive for hosting compute-intensive time-critical applications. Many of these applications are composed of computational tasks that require specific deadlines to he met for successful completion. In this paper, we show that combining redundant;scheduling with deadline-based scheduling in these systems leads to a fundamental tradeoff between throughput and fairness. We propose a new scheduling algorithm called Limited Resource Earliest Deadline (LRED) that couples redundant scheduling with deadline-driven scheduling in a flexible way by using a simple tunable parameter to exploit this tradeoff. Our evaluation of LRED shows that;LRED provides a powerful mechanism to achieve desired throughput or fairness under high loads and low timeliness environments.
In the context of low-power wireless sensor networks, this paper presents multi-hop network tomography (MNT), a novel, non-intrusive algorithm for reconstructing the path, the per-hop arrival order, and the per-hop ar...
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