Demo Data from SIGIR 2026 / reviewers in the wild / expert
Harimath Sivakumar
dblp:37/4695
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Transport protocols and congestion control · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Distributed systems · 50% High-performance computing · 35% Cloud and datacenter computing · 15% | |
| Databases, data mining, and information retrieval
1 paper |
Data mining · 100% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Transport protocols and congestion control › multipath transport
network striping |
0.0 | 1 | 2000 | PSockets: The Case for Application-level Network Striping for Data Intensive Applications using High Speed Wide Area Networks · SC 2000 |
Transport protocols and congestion control
TCP performance |
0.0 | 1 | 2000 | PSockets: The Case for Application-level Network Striping for Data Intensive Applications using High Speed Wide Area Networks · SC 2000 |
Data mining › big data analytics › large-scale data mining
distributed data mining |
0.0 | 1 | 1999 | Papyrus: A System for Data Mining over Local and Wide Area Clusters and Super-Clusters · SC 1999 |
Distributed systems
distributed data processing |
0.0 | 1 | 1999 | Papyrus: A System for Data Mining over Local and Wide Area Clusters and Super-Clusters · SC 1999 |
High-performance computing
data-intensive computing |
0.0 | 1 | 2000 | PSockets: The Case for Application-level Network Striping for Data Intensive Applications using High Speed Wide Area Networks · SC 2000 |
High-performance computing › data transfer
wide-area data transfer |
0.0 | 1 | 2000 | PSockets: The Case for Application-level Network Striping for Data Intensive Applications using High Speed Wide Area Networks · SC 2000 |
Cloud and datacenter computing › cluster resource management and scheduling
cluster resource management |
0.0 | 1 | 1999 | Papyrus: A System for Data Mining over Local and Wide Area Clusters and Super-Clusters · SC 1999 |
Methods — techniques the papers use, named apart from their topics
parallel sockets · 0.1network striping · 0.1distributed data mining · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Simple Available Bandwidth Utilization Library for High-Speed Wide Area Networks
Robert L. Grossman, Marco Mazzucco, Harimath Sivakumar, Y. Pan |
J. Supercomput. | 3 |
| 2000 | PSockets: The Case for Application-level Network Striping for Data Intensive Applications using High Speed Wide Area NetworksabstractTransmission 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. Harimath Sivakumar, Stuart Bailey, Robert L. Grossman |
SC | 1 |
| 1999 | Papyrus: A System for Data Mining over Local and Wide Area Clusters and Super-ClustersabstractArticle 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 Stuart Bailey, Robert L. Grossman, Harimath Sivakumar, Andrei L. Turinsky |
SC | 3 |