Alain J. Roy

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11ranked-venue papers

1as first author

0since 2021 · last 2011

—ORCID · none

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

Systems, architecture and hardware · 7 · 1 first-authorComputer networks · 2Human-computer interaction and ubiquitous computing · 2

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 4 papers		Distributed systems · 39% Storage systems · 36% High-performance computing · 21%
Computer networks 2 papers		Internet architecture and protocols · 79% Network management and operations · 21%

Topics — the 10 heaviest of 12, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Internet architecture and protocols quality of service	0.1	2	2001	End-to-End Provision of Policy Information for Network QoS · HPDC 2001 MPICH-GQ: Quality-of-Service for Message Passing Programs · SC 2000
Distributed systems grid computing	0.1	2	2004	The Grid2003 Production Grid: Principles and Practice · HPDC 2004 Flexibility, Manageability, and Performance in a Grid Storage Appliance · HPDC 2002
Storage systems distributed storage	0.0	1	2002	Flexibility, Manageability, and Performance in a Grid Storage Appliance · HPDC 2002
Internet architecture and protocols › resource reservation bandwidth reservation	0.0	1	2001	End-to-End Provision of Policy Information for Network QoS · HPDC 2001
Network management and operations policy-based management	0.0	1	2001	End-to-End Provision of Policy Information for Network QoS · HPDC 2001
Internet architecture and protocols › quality of service differentiated services	0.0	1	2000	MPICH-GQ: Quality-of-Service for Message Passing Programs · SC 2000
High-performance computing performance optimization at scale	0.0	1	2000	MPICH-GQ: Quality-of-Service for Message Passing Programs · SC 2000
High-performance computing distributed computing infrastructure	0.0	1	2004	The Grid2003 Production Grid: Principles and Practice · HPDC 2004
Distributed systems › distributed resource management resource discovery	0.0	1	2002	Flexibility, Manageability, and Performance in a Grid Storage Appliance · HPDC 2002
Cloud and datacenter computing resource management	0.0	1	2001	End-to-End Provision of Policy Information for Network QoS · HPDC 2001

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

signalling protocol · 0.1traffic shaping · 0.1qos reservation · 0.1protocol abstraction · 0.0dynamic adaptation · 0.0

Year	Publication	Venue	Position
2011	A Science Driven Production Cyberinfrastructure - the Open Science Grid Mine Altunay, Paul Avery, Kent Blackburn, Brian Bockelman, Michael Ernst, Dan Fraser, Robert Quick, Robert W. Gardner, Sebastien Goasguen, Tanya Levshina, Miron Livny, John McGee, Doug Olson, Ruth Pordes, Maxim Potekhin, Abhishek Singh Rana, Alain J. Roy, Chander Sehgal, Igor Sfiligoi, Frank Würthwein	J. Grid Comput.	17
2008	Archer: A Community Distributed Computing Infrastructure for Computer Architecture Research and Education Renato J. O. Figueiredo, P. Oscar Boykin, José A. B. Fortes, Tao Li 0006, Jie-Kwon Peir, David Wolinsky, Lizy Kurian John, David R. Kaeli, David J. Lilja, Sally A. McKee, Gokhan Memik, Alain J. Roy, Gary S. Tyson	CollaborateCom	12
2008	Middleware Integration and Deployment Strategies for Cyberinfrastructures Sebastien Goasguen, Krishna Madhavan, David Wolinsky, Renato J. O. Figueiredo, Jaime Frey, Alain J. Roy, Paul Ruth, Dongyan Xu	GPC	6
2006	Transparent access to Grid resources for user software abstract Abstract Grid computing promises access to large amounts of computing power, but so far adoption of Grid computing has been limited to highly specialized experts for three reasons. First, users are used to batch systems, and interfaces to Grid software are often complex and different to those in batch systems. Second, users are used to having transparent file access, which Grid software does not conveniently provide. Third, efforts to achieve wide‐spread coordination of computers while solving the first two problems is hampered when clusters are on private networks. Here we bring together a variety of software that allows users to almost transparently use Grid resources as if they were local resources while providing transparent access to files, even when private networks intervene. As a motivating example, the BaBar Monte Carlo production system is deployed on a truly distributed environment, the European DataGrid, without any modification to the application itself. Copyright © 2005 John Wiley & Sons, Ltd. Sander Klous, Jaime Frey, Se-Chang Son, Douglas Thain, Alain J. Roy, Miron Livny, Jo F. J. van den Brand	Concurr. Comput. Pract. Exp.	5
2004	Management of grid jobs and data within SAMGrid abstract When designing SAMGrid, a project for distributing high-energy physics computations on a grid, we discovered that it was challenging to decide where to place user's jobs. Jobs typically need to access hundreds of files, and each site has a different subset of the files. Our data system SAM knows what portion of a user's data may be at each site, but does not know how to submit grid jobs. Our job submission system Condor-G knows how to submit grid jobs, but originally it required users to choose grid sites and gave them no assistance in choosing. This work describes how we enhanced Condor-G to interact with SAM to make good decisions about where jobs should be executed, and thereby improve the performance of grid jobs that access large amounts of data. All these enhancements are general enough to be applicable to grid computing beyond the data-intensive computing with SAMGrid. A. Baranovski, Gabriele Garzoglio, Igor Terekhov, Alain J. Roy, Todd Tannenbaum	CLUSTER	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	98
2004	End-to-end quality of service for high-end applications Ian T. Foster, Markus Fidler, Alain J. Roy, Volker Sander, Linda Winkler	Comput. Commun.	3
2002	Flexibility, Manageability, and Performance in a Grid Storage Appliance abstract We present NeST a flexible software-only storage appliance designed to meet the storage needs of the Grid. NeST has three key features that make it well-suited for deployment in a Grid environment. First, NeST provides a generic data transfer architecture that supports multiple data transfer protocols (including GridFTP and NFS), and allows for the easy addition of new protocols. Second, NeST is dynamic, adapting itself on-the-fly so that it runs effectively on a wide range of hardware and software platforms. Third, NeST is Grid-aware, implying that features that are necessary for integration into the Grid, such as storage space guarantees, mechanisms for resource and data discovery, user authentication, and quality of service, are a part of the NeST infrastructure. John Bent, Venkateshwaran Venkataramani, Nick LeRoy, Alain J. Roy, Joseph Stanley, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, Miron Livny	HPDC	4
2001	End-to-End Provision of Policy Information for Network QoS abstract High-end networked applications such as distance visualization, distributed data analysis, and advanced collaborative environments have demanding quality of service (QoS) requirements. We focus on making policy decisions when users attempt to make reservations for network bandwidth across several administrative network domains that are controlled by a bandwidth broker. We present a signalling protocol that facilitates the establishment of a distributed policy decision point as well as the establishment of a direct signalling channel between the source and end domains. Volker Sander, William A. Adamson, Ian T. Foster, Alain J. Roy	HPDC	4
2000	MPICH-GQ: Quality-of-Service for Message Passing Programs abstract Parallel programmers typically assume that all resources required for a program’s execution are dedicated to that purpose. However, in local and wide area networks, contention for shared networks, CPUs, and I/O systems can result in significant variations in availability, with consequent adverse effects on overall performance. We describe a new message-passing architecture, MPICH-GQ, that uses quality of service (QoS) mechanisms to manage contention and hence improve performance of message passing interface (MPI) applications. MPICH-GQ combines new QoS specification, traffic shaping, QoS reservation, and QoS implementation techniques to deliver QoS capabilities to the high-bandwidth bursty flows, complex structures, and reliable protocols used in high-performance applications-characteristics very different from the low-bandwidth, constant bit-rate media flows and unreliable protocols for which QoS mechanisms were designed. Results obtained on a differentiated services testbed demonstrate our ability to maintain application performance in the face of heavy network contention. Alain J. Roy, Ian T. Foster, William Gropp, Nicholas T. Karonis, Volker Sander, Brian R. Toonen	SC	1
2000	A differentiated services implementation for high-performance TCP flows Volker Sander, Ian T. Foster, Alain J. Roy, Linda Winkler	Comput. Networks	3