Jason Novotny

dblp:84/2104 · DBLP profile ↗
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7ranked-venue papers
3as first author
0since 2021 · last 2004
—ORCID · none

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

Systems, architecture and hardware · 7 · 3 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 architecture, parallel and distributed computing, and storage systems
4 papers
Distributed systems · 95% High-performance computing · 5%
Network and information security
1 paper
Authentication and access control · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems
grid computing
0.132002
The GridLab Grid Application Toolkit · HPDC 2002
The Astrophysics Simulation Collaboratory Portal: A Science Portal Enabling Community Software Development · HPDC 2001
Data Mining on NASA's Information Power Grid · HPDC 2000
Authentication and access control › authorization
delegation
0.012001
An Online Credential Repository for the Grid: MyProxy · HPDC 2001
Distributed systems › distributed interactive applications
collaborative computing
0.012001
The Astrophysics Simulation Collaboratory Portal: A Science Portal Enabling Community Software Development · HPDC 2001
Distributed systems › grid computing
grid security
0.012001
An Online Credential Repository for the Grid: MyProxy · HPDC 2001
Distributed systems › grid computing
science gateway
0.012001
The Astrophysics Simulation Collaboratory Portal: A Science Portal Enabling Community Software Development · HPDC 2001
Distributed systems › grid computing
virtual organizations
0.012001
The Astrophysics Simulation Collaboratory Portal: A Science Portal Enabling Community Software Development · HPDC 2001
Computational science and engineering › computational physics
numerical relativity
0.012001
The Astrophysics Simulation Collaboratory Portal: A Science Portal Enabling Community Software Development · HPDC 2001
Data mining › big data analytics › large-scale data mining
distributed data mining
0.012000
Data Mining on NASA's Information Power Grid · HPDC 2000

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

web technologies · 0.1online credential repository · 0.1cactus computational toolkit · 0.1mining agents · 0.1just-in-time acquisition · 0.1
YearPublicationVenuePosition
2004 GridSphere: a portal framework for building collaborations
abstract
Abstract Grid‐enabled portals are becoming increasingly popular as a platform for providing access to Grid services and resources. Unfortunately, much of the work done in portal development has led to vertically layered solutions that work for a particular project but are difficult to extend or reuse for other projects. The GridSphere portal framework seeks to address these limitations by providing a framework that will offer external developers a model for easily adding new functionality and hence increasing community collaboration. The GridLab portal will serve as an initial prototype to showcase the GridSphere framework and provide access to services being developed within the GridLab project. Copyright © 2004 John Wiley & Sons, Ltd.
Jason Novotny, Michael Russell, Oliver Wehrens
Concurr. Pract. Exp.1
2002 The GridLab Grid Application Toolkit
abstract
We present a synopsis of the Grid Application Toolkit, under development in the EU GridLab project, along with some of the new application scenarios which it will enable.
Gabrielle Allen, Kelly Davis, Thomas Dramlitsch, Tom Goodale, Ian Kelley, Gerd Lanfermann, Jason Novotny, Thomas Radke, Kashif Rasul, Michael Russell, Edward Seidel, Oliver Wehrens
HPDC7
2002 Community software development with the Astrophysics Simulation Collaboratory
abstract
Abstract We describe a Grid‐based collaboratory that supports the collaborative development and use of advanced simulation codes. Our implementation of this collaboratory uses a mix of Web technologies (for thin‐client access) and Grid services (for secure remote access to, and management of, distributed resources). Our collaboratory enables researchers in geographically disperse locations to share and access compute, storage, and code resources, without regard to institutional boundaries. Specialized services support community code development, via specialized Grid services, such as online code repositories. We use this framework to construct the Astrophysics Simulation Collaboratory, a domain‐specific collaboratory for the astrophysics simulation community. This Grid‐based collaboratory enables researchers in the field of numerical relativity to study astrophysical phenomena by using the Cactus computational toolkit. Copyright © 2002 John Wiley & Sons, Ltd.
Gregor von Laszewski, Michael Russell, Ian T. Foster, John Shalf, Gabrielle Allen, Greg Daues, Jason Novotny, Edward Seidel
Concurr. Comput. Pract. Exp.7
2002 The Grid Portal Development Kit
abstract
Abstract Computational science portals are emerging as useful and necessary interfaces for performing operations on the Grid. The Grid Portal Development Kit (GPDK) facilitates the development of Grid portals and provides several key reusable components for accessing various Grid services. A Grid portal provides a customizable interface allowing scientists to perform a variety of Grid operations including remote program submission, file staging, and querying of information services from a single, secure gateway. The GPDK leverages off existing Globus/Grid middleware infrastructure as well as commodity Web technology including Java Server Pages and servlets. The design and architecture of the GPDK is presented as well as a discussion on the portal building capabilities of the GPDK, allowing application developers to build customized portals more effectively by reusing common core services provided by the GPDK. Copyright © 2002 John Wiley & Sons, Ltd.
Jason Novotny
Concurr. Comput. Pract. Exp.1
2001 An Online Credential Repository for the Grid: MyProxy
abstract
Grid portals, based on standard Web technologies, are increasingly used to provide user interfaces for computational and data grids. However, such Grid portals do not integrate cleanly with existing Grid security systems such as the Grid Security Infrastructure (GSI), due to lack of delegation capabilities in Web security mechanisms. We solve this problem using an online credentials repository system, called MyProxy. MyProxy allows Grid portals to use the GSI to interact with Grid resources in a standard, secure manner. We examine the requirements of Grid portals, give an overview of the GSI, and demonstrate how MyProxy enables them to function together. The architecture and security of the MyProxy system are described in detail.
Jason Novotny, Steven Tuecke, Von Welch
HPDC1
2001 The Astrophysics Simulation Collaboratory Portal: A Science Portal Enabling Community Software Development
abstract
Grid Portals, based on standard Web technologies, are emerging as important and useful user interfaces to computational and data grids. Grid portals enable virtual organizations, comprised of distributed researchers to collaborate and access resources more efficiently and seamlessly. The Astrophysics Simulation Collaboratory (ASC) Grid Portal provides a framework to enable researchers in the field of numerical relativity to study astrophysical phenomenon by making use of the Cactus computational toolkit. We examine user requirements and describe the design and implementation of the ASC Grid Portal.
Michael Russell, Gabrielle Allen, Greg Daues, Ian T. Foster, Edward Seidel, Jason Novotny, John Shalf, Gregor von Laszewski
HPDC6
2000 Data Mining on NASA's Information Power Grid
abstract
The paper describes the development of a data mining system that is to operate on NASA's Information Power Grid (IPG). Mining agents will be staged to one or more processors on the IPG. There they will grow using just-in-time acquisition of new operations. They will mine data delivered using just-in-time delivery. Some initial experimental results are presented.
Thomas H. Hinke, Jason Novotny
HPDC2