Transmission Control Protocol (TCP) is used by various applications to achieve reliable data transfer. TCP was originally designed for unreliable networks. With the emergence of high-speed wide area networks various improvements have been applied to TCP to reduce latency and achieve improved bandwidth. The improvement is achieved by having system administrators tune the network and can take a considerable amount of time. This paper introduces PSockets (Parallel Sockets), a library that achieves an equivalent performance without manual tuning. The basic idea behind PSockets is to exploit network striping. By network striping we mean striping partitioned data across several open sockets. We describe experimental studies using PSockets over the Abilene network. We show in particular that network striping using PSockets is effective for high performance data intensive computing applications using geographically distributed data.

This paper proposes a methodology for employing collaborative, immersive virtual environments as a high-end visualization interface for massive data-sets. The methodology employs feature detection, partitioning, summarization and decimation to significantly cull massive data-sets. These reduced data-sets are then distributed to the remote CAVEs, ImmersaDesks and desktop workstations for viewing. The paper also discusses novel techniques for collaborative visualization and meta-data creation.

Article Free Access Share on Papyrus: a system for data mining over local and wide area clusters and super-clusters Authors: S. Bailey National Center for Data Mining, University of Illinois at Chicago National Center for Data Mining, University of Illinois at ChicagoView Profile , R. Grossman National Center for Data Mining, University of Illinois at Chicago and Magnify, Inc. National Center for Data Mining, University of Illinois at Chicago and Magnify, Inc.View Profile , H. Sivakumar National Center for Data Mining, University of Illinois at Chicago National Center for Data Mining, University of Illinois at ChicagoView Profile , A. Turinsky National Center for Data Mining, University of Illinois at Chicago National Center for Data Mining, University of Illinois at ChicagoView Profile Authors Info & Claims SC '99: Proceedings of the 1999 ACM/IEEE conference on SupercomputingJanuary 1999 Pages 63–eshttps://doi.org/10.1145/331532.331595Online:01 January 1999Publication History 44citation676DownloadsMetricsTotal Citations44Total Downloads676Last 12 Months7Last 6 weeks2 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF