Jason Lee 0001

EDBT 2026 Demo / reviewers in the wild / expert

dblp:43/3813 · also Jason R. Lee 0001 · DBLP profile ↗

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21ranked-venue papers

1as first author

0since 2021 · last 2012

0000-0001-5290-1861ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 16 · 1 first-authorComputer networks · 1Security and privacy · 1Graphics, computer vision, multimedia, augmented reality and games · 1

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 architecture, parallel and distributed computing, and storage systems 12 papers		Distributed systems · 59% High-performance computing · 24% Storage systems · 11%
Computer networks 5 papers		Network measurement and analytics · 48% Internet architecture and protocols · 28% Transport protocols and congestion control · 21%
Interdisciplinary, comprehensive, and emerging computing 2 papers		Environmental and earth informatics · 100%

Topics — the 30 heaviest of 37, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
High-performance computing › data transfer wide-area data transfer	0.1	2	2010	Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network · HPDC 2010 A Network-Aware Distributed Storage Cache for Data Intensive Environments · HPDC 1999
Distributed systems › replication data replication	0.1	1	2010	Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network · HPDC 2010
Distributed systems › grid computing grid middleware	0.1	1	2010	Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network · HPDC 2010
Distributed systems grid computing	0.1	3	2004	The Grid2003 Production Grid: Principles and Practice · HPDC 2004 Monitoring data archives for grid environments · SC 2002 A Monitoring Sensor Management System for Grid Environments · HPDC 2000
Network measurement and analytics traffic characterization	0.1	1	2005	A First Look at Modern Enterprise Traffic · Internet Measurement Conference 2005
Environmental and earth informatics climate modeling	0.0	2	2010	Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network · HPDC 2010 High-performance remote access to climate simulation data: a challenge problem for data grid technologies · SC 2001
Distributed systems distributed caching	0.0	2	1999	A Network-Aware Distributed Storage Cache for Data Intensive Environments · HPDC 1999 High-Speed Distributed Data Handling for On-Line Instrumentation Systems · SC 1997
Distributed systems › observability › distributed monitoring distributed application monitoring	0.0	1	2002	Dynamic Monitoring of High-Performance Distributed Applications · HPDC 2002
Distributed systems fault tolerance	0.0	1	2002	Monitoring data archives for grid environments · SC 2002
Internet architecture and protocols › network adaptation network-aware applications	0.0	1	2001	Enabling Network-Aware Applications · HPDC 2001
Transport protocols and congestion control › TCP performance enhancement TCP tuning	0.0	1	2001	Enabling Network-Aware Applications · HPDC 2001
Distributed systems › grid computing data grid	0.0	1	2001	High-performance remote access to climate simulation data: a challenge problem for data grid technologies · SC 2001
Distributed systems › distributed data processing distributed data access	0.0	1	2001	High-performance remote access to climate simulation data: a challenge problem for data grid technologies · SC 2001
Distributed systems › replication replica management	0.0	1	2001	High-performance remote access to climate simulation data: a challenge problem for data grid technologies · SC 2001
High-performance computing › scientific visualization remote visualization	0.0	1	2000	Using High-Speed WANs and Network Data Caches to Enable Remote and Distributed Visualization · SC 2000
High-performance computing scientific visualization	0.0	1	2000	Using High-Speed WANs and Network Data Caches to Enable Remote and Distributed Visualization · SC 2000
High-performance computing data-intensive computing	0.0	1	1999	A Network-Aware Distributed Storage Cache for Data Intensive Environments · HPDC 1999
Storage systems distributed storage	0.0	2	1994	Using high speed networks to enable distributed parallel image server systems · SC 1994 Distributed Parallel Data Storage Systems: A Scalable Approach to High Speed Image Servers · ACM Multimedia 1994
Storage systems › distributed storage parallel storage system	0.0	2	1994	Using high speed networks to enable distributed parallel image server systems · SC 1994 Distributed Parallel Data Storage Systems: A Scalable Approach to High Speed Image Servers · ACM Multimedia 1994
Distributed systems distributed data processing	0.0	1	1997	High-Speed Distributed Data Handling for On-Line Instrumentation Systems · SC 1997
Storage systems › storage hierarchy tertiary storage	0.0	1	1997	High-Speed Distributed Data Handling for On-Line Instrumentation Systems · SC 1997
Network measurement and analytics › traffic measurement traffic monitoring	0.0	1	2005	A First Look at Modern Enterprise Traffic · Internet Measurement Conference 2005
High-performance computing distributed computing infrastructure	0.0	1	2004	The Grid2003 Production Grid: Principles and Practice · HPDC 2004
Storage systems network-attached storage	0.0	1	1994	Using high speed networks to enable distributed parallel image server systems · SC 1994
Performance modeling and evaluation performance diagnosis	0.0	1	2002	Dynamic Monitoring of High-Performance Distributed Applications · HPDC 2002
High-performance computing scientific data analysis	0.0	1	2001	High-performance remote access to climate simulation data: a challenge problem for data grid technologies · SC 2001
Distributed systems distributed coordination	0.0	1	2000	Using High-Speed WANs and Network Data Caches to Enable Remote and Distributed Visualization · SC 2000
Electronic design automation › hardware verification and test fault detection	0.0	1	2000	A Monitoring Sensor Management System for Grid Environments · HPDC 2000
High-performance computing scientific computing systems	0.0	1	2000	Using High-Speed WANs and Network Data Caches to Enable Remote and Distributed Visualization · SC 2000
Internet architecture and protocols wide area network	0.0	1	1997	High-Speed Distributed Data Handling for On-Line Instrumentation Systems · SC 1997

Methods — techniques the papers use, named apart from their topics

monitoring · 0.2bandwidth tuning · 0.2replica management · 0.1parallel streams · 0.1data transfer · 0.1TCP buffer tuning · 0.1relational data archive · 0.0pipelining · 0.0parallel i/o · 0.0agent-based system · 0.0real-time analysis · 0.0distributed caching · 0.0data archiving · 0.0user-level software · 0.0user-level implementation · 0.0performance characterization · 0.0ATM networking · 0.0

Year	Publication	Venue	Position
2012	Prototyping a 100G Monitoring System abstract The finalization of the 100 Gbps Ethernet Specification has been a tremendous increase in these rates arriving into data centers creating the need to perform security monitoring at 100 Gbps no longer simply an academic exercise. We show that by leveraging the 'heavy tail flow effect' on the IDS infrastructure, it is possible to perform security analysis at such speeds within the HPC environment. Additionally, we examine the nature of current traffic characteristics, how to scale an IDS infrastructure to 100Gbps. Scott Campbell, Jason Lee 0001	PDP	2
2010	Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network abstract In preparation for the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report, the climate community will run the Coupled Model Intercomparison Project phase 5 (CMIP-5) experiments, which are designed to answer crucial questions about future regional climate change and the results of carbon feedback for different mitigation scenarios. The CMIP-5 experiments will generate petabytes of data that must be replicated seamlessly, reliably, and quickly to hundreds of research teams around the globe. As an end-to-end test of the technologies that will be used to perform this task, a multi-disciplinary team of researchers moved a small portion (10 TB) of the multimodel Coupled Model Intercomparison Project, Phase 3 data set used in the IPCC Fourth Assessment Report from three sources---the Argonne Leadership Computing Facility (ALCF), Lawrence Livermore National Laboratory (LLNL) and National Energy Research Scientific Computing Center (NERSC)---to the 2009 Supercomputing conference (SC09) show floor in Portland, Oregon, over circuits provided by DOE's ESnet. The team achieved a sustained data rate of 15 Gb/s on a 20 Gb/s network. More important, this effort provided critical feedback on how to deploy, tune, and monitor the middleware that will be used to replicate the upcoming petascale climate datasets. We report on obstacles overcome and the key lessons learned from this successful bandwidth challenge effort. Rajkumar Kettimuthu, Alex Sim, Dan Gunter, William E. Allcock, Peer-Timo Bremer, John Bresnahan, Andrew Cherry, Lisa Childers, Eli Dart, Ian T. Foster, Kevin Harms, Jason Hick, Jason Lee 0001, Michael Link, Jeff Long, Keith Miller 0005, Vijaya Natarajan, Valerio Pascucci, Kenneth Raffenetti, David Ressman, Dean N. Williams, Loren Wilson, Linda Winkler	HPDC	13
2007	The NIDS Cluster: Scalable, Stateful Network Intrusion Detection on Commodity Hardware Matthias Vallentin, Robin Sommer, Jason Lee 0001, Craig Leres, Vern Paxson, Brian Tierney	RAID	3
2006	Intra and Interdomain Circuit Provisioning Using the OSCARS Reservation System abstract With the advent of service sensitive applications such as remote controlled experiments, time constrained massive data transfers, and video-conferencing, it has become apparent that there is a need for the setup of dynamically provisioned, quality of service enabled virtual circuits. The ESnet on-demand secure circuits and advance reservation system (OSCARS) is a prototype service enabling advance reservation of guaranteed bandwidth secure virtual circuits. OSCARS operates within the energy sciences network (ESnet), and has provisions for interoperation with other network domains. ESnet is a high-speed network serving thousands of Department of Energy scientists and collaborators worldwide. OSCARS utilizes the Web services model and standards to implement communication with the system and between domains, and for authentication, authorization, and auditing (AAA). The management and operation of end-to-end virtual circuits within the network is done at the layer 3 network level. Multi-protocol label switching (MPLS) and the resource reservation protocol (RSVP) are used to create the virtual circuits or label switched paths (LSP's). quality of service (QoS) is used to provide bandwidth guarantees. This paper describes our experience in implementing OSCARS, collaborations with other bandwidth-reservation projects (including interdomain testing) and future work to be done. Chin Guok, David W. Robertson, Mary R. Thompson, Jason Lee 0001, Brian Tierney, William E. Johnston	BROADNETS	4
2005	A First Look at Modern Enterprise Traffic Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee 0001, Vern Paxson, Brian Tierney	Internet Measurement Conference	4
2005	Exploring practical limitations of TCP over transatlantic networks Antony Antony, Johan Blom, Cees T. A. M. de Laat, Jason Lee 0001	Future Gener. Comput. Syst.	4
2004	The Grid2003 Production Grid: Principles and Practice Ian T. Foster, Jerry Gieraltowski, Scott Gose, Natalia Maltsev, Edward N. May, Alexis A. Rodriguez, Dinanath Sulakhe, A. Vaniachine, Jim Shank, Saul Youssef, David Adams, Richard Baker 0003, Wensheng Deng, Dantong Yu, Iosif Legrand, Conrad Steenberg, M. Anzar Afaq, Eileen Berman, James Annis, L. A. T. Bauerdick, Michael Ernst, Ian Fisk, Lisa Giacchetti, Gregory E. Graham, Anne Heavey, Joseph Kaiser, Nickolai Kuropatkin, Ruth Pordes, Vijay Sekhri, John Weigand, Yujun Wu, Keith Baker, Lawrence Sorrillo, John Huth, Matthew Allen, Leigh Grundhoefer, John Hicks, Fred Luehring, Steve Peck, Robert Quick, Stephen C. Simms, George Fekete, Jan vandenBerg, Kihyeon Cho, Kihwan Kwon, Dongchul Son, Hyoungwoo Park, Shane Canon, Keith R. Jackson, David E. Konerding, Jason Lee 0001, Doug Olson, Iwona Sakrejda, Brian Tierney, Mark Green 0001, Russ Miller, James Letts, Terrence Martin, David Bury, Catalin Dumitrescu, Daniel Engh, Robert W. Gardner, Marco Mambelli, Yuri Smirnov, Jens-S. Vöckler, Michael Wilde, Yong Zhao 0009, Paul Avery, Richard Cavanaugh, Bockjoo Kim, Craig Prescott, Jorge Rodríguez 0002, Andrew Zahn, Shawn McKee, Christopher T. Jordan, James E. Prewett, Timothy L. Thomas, Horst Severini, Ben Clifford, Ewa Deelman, Larry Flon, Carl Kesselman, Gaurang Mehta, Nosa Olomu, Karan Vahi, Kaushik De, Patrick McGuigan, Mark Sosebee, Dan Bradley, Peter Couvares, Alan DeSmet, Carey Kireyev, Erik Paulson 0001, Alain J. Roy, Scott Koranda, Brian Moe, Bobby Brown, Paul Sheldon	HPDC	54
2003	Microscopic examination of TCP flows over transatlantic links Antony Antony, Johan Blom, Cees T. A. M. de Laat, Jason Lee 0001, Wim Sjouw	Future Gener. Comput. Syst.	4
2003	High-performance remote access to climate simulation data: a challenge problem for data grid technologies Ann L. Chervenak, Ewa Deelman, Carl Kesselman, William E. Allcock, Ian T. Foster, Veronika Nefedova, Jason Lee 0001, Alex Sim, Arie Shoshani, Bob Drach, Dean N. Williams, Don Middleton	Parallel Comput.	7
2002	Dynamic Monitoring of High-Performance Distributed Applications abstract Developers and users of high-performance distributed systems often observe performance problems such as unexpectedly low throughput or high latency. Determining the source of the performance problems requires detailed end-to-end instrumentation of all components, including the applications, operating systems, hosts, and networks. However, one must be very careful to design the instrumentation to have extremely low overhead, and not affect the system being monitored. In this paper we present a very light-weight instrumentation system that can be dynamically activated to unobtrusively collect and aggregate detailed end-to-end monitoring information from distributed applications. We also show how emerging "web services" can be used to facilitate remote interaction with this system. Dan Gunter, Brian Tierney, Keith R. Jackson, Jason Lee 0001, Martin Stoufer	HPDC	4
2002	Monitoring data archives for grid environments abstract Developers and users of high-performance distributed systems often observe performance problems such as unexpectedly low throughput or high latency. To determine the source of these performance problems, detailed end-to-end monitoring data from applications, networks, operating systems, and hardware must be correlated across time and space. Researchers need to be able to view and compare this very detailed monitoring data from a variety of angles. To address this problem, we propose a relational monitoring data archive that is designed to efficiently handle high-volume streams of monitoring data. In this paper we present an instrumentation and monitoring event archive service that can be used to collect and aggregate detailed end-to-end monitoring information from distributed applications. This archive service is designed to be scalable and fault tolerant. We also show how the archive is based on the "Grid Monitoring Architecture" defined by the Global Grid Forum. Jason Lee 0001, Dan Gunter, Martin Stoufer, Brian Tierney	SC	1
2001	Enabling Network-Aware Applications abstract Many high-performance distributed applications use only a small fraction of their available bandwidth. A common cause of this problem is not a flaw in the application design, but rather improperly tuned network settings. Proper tuning techniques, such as setting the correct TCP buffers and using parallel streams, are well-known in the networking community, but outside this community they are infrequently applied. In this paper, we describe a service that makes the task of network tuning trivial for application developers and users. Widespread use of this service should virtually eliminate a common stumbling block for high-performance distributed applications. Brian Tierney, Dan Gunter, Jason Lee 0001, Martin Stoufer, Joseph B. Evans	HPDC	3
2001	High-performance remote access to climate simulation data: a challenge problem for data grid technologies abstract In numerous scientific disciplines, terabyte and soon petabyte-scale data collections are emerging as critical community resources. A new class of Data Grid infrastructure is required to support management, transport, distributed access to, and analysis of these datasets by potentially thousands of users. Researchers who face this challenge include the Climate Modeling community, which performs long-duration computations accompanied by frequent output of very large files that must be further analyzed. We describe the Earth System Grid prototype, which brings together advanced analysis, replica management, data transfer, request management, and other technologies to support high-performance, interactive analysis of replicated data. We present performance results that demonstrate our ability to manage the location and movement of large datasets from the user's desktop. We report on experiments conducted over SciNET at SC'2000, where we achieved peak performance of 1.55Gb/s and sustained performance of 512.9Mb/s for data transfers between Texas and California. William E. Allcock, Ian T. Foster, Veronika Nefedova, Ann L. Chervenak, Ewa Deelman, Carl Kesselman, Jason Lee 0001, Alex Sim, Arie Shoshani, Bob Drach, Dean N. Williams	SC	7
2000	A Monitoring Sensor Management System for Grid Environments abstract Large distributed systems, such as computational grids, require a large amount of monitoring data be collected for a variety of tasks, such as fault detection, performance analysis, performance tuning, performance prediction and scheduling. Ensuring that all necessary monitoring is turned on and that the data is being collected can be a very tedious and error-prone task. We have developed an agent-based system to automate the execution of monitoring sensors and the collection of event data. Brian Tierney, Brian Crowley, Dan Gunter, Mason Holding, Jason Lee 0001, Mary R. Thompson	HPDC	5
2000	NetLogger: A Toolkit for Distributed System Performance Analysis abstract Diagnosis and debugging of performance problems on complex distributed systems requires end-to-end performance information at both the application and system level. We describe a methodology, called NetLogger, that enables real-time diagnosis of performance problems in such systems. The methodology includes tools for generating precision event logs, an interface to a system event-monitoring framework, and tools for visualizing the log data and real-time state of the distributed system. Low overhead is an important requirement for such tools, therefore we evaluate efficiency of the monitoring itself. The approach is novel in that it combines network, host, and application-level monitoring, providing a complete view of the entire system. Dan Gunter, Brian Tierney, Brian Crowley, Mason Holding, Jason Lee 0001	MASCOTS	5
2000	Using High-Speed WANs and Network Data Caches to Enable Remote and Distributed Visualization abstract Visapult is a prototype application and framework for remote visualization of large scientific datasets. We approach the technical challenges of tera-scale visualization with a unique architecture that employs high speed WANs and network data caches for data staging and transmission. This architecture allows for the use of available cache and compute resources at arbitrary locations on the network. High data throughput rates and network utilization are achieved by parallelizing I/O at each stage in the application, and by pipelining the visualization process. On the desktop, the graphics interactivity is effectively decoupled from the latency inherent in network applications. We present a detailed performance analysis of the application, and improvements resulting from field-test analysis conducted as part of the DOE Combustion Corridor project. E. Wes Bethel, Brian Tierney, Jason Lee 0001, Dan Gunter, Stephen Lau	SC	3
2000	A data intensive distributed computing architecture for "Grid" applications Brian Tierney, William E. Johnston, Jason Lee 0001, Mary R. Thompson	Future Gener. Comput. Syst.	3
1999	A Network-Aware Distributed Storage Cache for Data Intensive Environments abstract Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data at multiple sites around the world. The technologies, the middleware services, and the architectures that are used to build useful high-speed, wide area distributed systems, constitute the field of data intensive computing. We describe an architecture for data intensive applications where we use a high-speed distributed data cache as a common element for all of the sources and sinks of data. This cache-based approach provides standard interfaces to a large, application-oriented, distributed, on-line, transient storage system. We describe our implementation of this cache, how we have made it "network aware ", and how we do dynamic load balancing based on the current network conditions. We also show large increases in application throughput by access to knowledge of the network conditions. Brian Tierney, Jason Lee 0001, Brian Crowley, Mason Holding, Jeremy Hylton, Fred L. Drake	HPDC	2
1997	High-Speed Distributed Data Handling for On-Line Instrumentation Systems abstract The advent (and promise) of shared, widely available, high-speed networks provides the potential for new approaches to the collection, organization, storage, and analysis of high-speed and high-volume data streams from high data-rate, on-line instruments. We have worked in this area for several years, have identified and addressed a variety of problems associated with this scenario, and have evolved an architecture, implementations, and a monitoring methodology that have been successful in addressing several different application areas.In this paper we describe a distributed, wide area network-based architecture that deals with data streams that originate from on-line instruments. Such instruments and imaging systems are a staple of modern scientific, health care, and intelligence environments. Our work provides an approach for reliable, distributed real-time analysis, cataloguing, and archiving of the data streams through the integration and distributed management of a high-speed distributed cache, distributed high-performance applications, and tertiary storage systems. William E. Johnston, William Greiman, Gary Hoo, Jason Lee 0001, Brian Tierney, Craig E. Tull, Doug Olson	SC	4
1994	Distributed Parallel Data Storage Systems: A Scalable Approach to High Speed Image Servers abstract We have designed, built, and analyzed a distributed parallel storage system that will supply image streams fast enough to permit multi-user, “real-time”, video-like applications in a wide-area ATM network-based Internet environment. We have based the implementation on user-level code in order to secure portability; we have characterized the performance bottlenecks arising from operating system and hardware issues, and based on this have optimized our design to make the best use of the available performance. Although at this time we have only operated with a few classes of data, the approach appears to be capable of providing a scalable, high-performance, and economical mechanism to provide a data storage system for several classes of data (including mixed multimedia streams), and for applications (clients) that operate in a high-speed network environment. Brian Tierney, Jason Lee 0001, Ling Tony Chen, Hanan Herzog, Gary Hoo, Guojun Jin, William E. Johnston	ACM Multimedia	2
1994	Using high speed networks to enable distributed parallel image server systems abstract We describe the design and implementation of a distributed parallel storage system that uses high-speed ATM networks as a key element of the architecture. Other elements include a collection of network-based disk block servers, and an associated name server that provides some file system functionality. The implementation is based on user level software that runs on UNIX workstations. Both the architecture and the implementation are intended to provide for easy and economical scalability. This approach has yielded a data source that scales economically to very high speed. Target applications include online storage for both very large images and video sequences. This paper describes the architecture, and explores the performance issues of the current implementation.> Brian Tierney, William E. Johnston, Hanan Herzog, Gary Hoo, Guojun Jin, Jason Lee 0001, Ling Tony Chen, Doron Rotem	SC	6