A5007686652- Distributed and Parallel Computing Systems
- Scientific Computing and Data Management
- Parallel Computing and Optimization Techniques
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Cloud Computing and Resource Management
- Peer-to-Peer Network Technologies
- Research Data Management Practices
- Service-Oriented Architecture and Web Services
- Data Quality and Management
- Machine Learning in Materials Science
- Access Control and Trust
- IPv6, Mobility, Handover, Networks, Security
- Big Data and Business Intelligence
- Real-Time Systems Scheduling
- Software Testing and Debugging Techniques
- Privacy-Preserving Technologies in Data
- Machine Learning and Data Classification
- Multi-Agent Systems and Negotiation
- Cloud Data Security Solutions
- Logic, programming, and type systems
- Cryptography and Data Security
- AI-based Problem Solving and Planning
- Environmental Monitoring and Data Management
- Power Systems and Technologies
Argonne National Laboratory
2005-2020
University of Chicago
2003-2020
Universitas Al Washliyah
2005
University of Southern California
2002
Southern California University for Professional Studies
2002
Indigenous Language Institute
1994
“Grid” computing has emerged as an important new field, distinguished from conventional distributed by its focus on large-scale resource sharing, innovative applications, and, in some cases, high performance orientation. In this article, the authors define field. First, they review “Grid problem,” which is defined flexible, secure, coordinated sharing among dynamic collections of individuals, institutions, and resources—what referred to virtual organizations. such settings, unique...
Increasingly, computing addresses collaboration, data sharing, and interaction modes that involve distributed resources, resulting in an increased focus on the interconnection of systems both within across enterprises. These evolutionary pressures have led to development Grid technologies. The authors' work focuses nature services respond protocol messages. provides extensible set can be aggregated various ways meet needs virtual organizations, which themselves defined part by they operate share.
Article Free Access Share on A security architecture for computational grids Authors: Ian Foster Argonne National Laboratory, Argonne, IL ILView Profile , Carl Kesselman Information Sciences Institute, University of Southern California, Marina del Rey, CA CASearch about this author Gene Tsudik CAView Steven Tuecke ILSearch Authors Info & Claims CCS '98: Proceedings the 5th ACM conference Computer and communications securityNovember 1998Pages...
In "grids" and "collaboratories", we find distributed communities of resource providers consumers, within which often complex dynamic policies govern who can use resources for purpose. We propose a new approach to the representation, maintenance enforcement such that provides scalable mechanism specifying enforcing these policies. Our allows delegate some authority maintaining fine-grained access control communities, while still ultimate over their resources. also describe prototype...
In recent years, there has been a dramatic increase in the amount of available computing and storage resources, yet few have able to exploit these resources an aggregated form. We present Condor-G system, which leverages software from Globus Condor allow users harness multi-domain as if they all belong one personal domain. describe structure how it handles job management, resource selection, security fault tolerance.
Grid computing is concerned with the sharing and coordinated use of diverse resources in distributed "virtual organizations." The dynamic multiinstitutional nature these environments introduces challenging security issues that demand new technical approaches. In particular, one must deal local mechanisms, support creation services, enable trust domains. We describe how are addressed two generations Globus Toolkit/spl reg/. First, we review Toolkit version 2 (GT2) approach; then approaches...
High-performance execution in distributed computing environments often requires careful selection and configuration not only of computers, networks, other resources but also the protocols algorithms used by applications. Selection turn require access to accurate, up-to-date information on structure state available resources. Unfortunately no standard mechanism exists for organizing or accessing such information. Consequently different tools applications adopt ad hoc mechanisms, they...
Grid portals, based on standard Web technologies, are increasingly used to provide user interfaces for computational and data grids. However, such portals do not integrate cleanly with existing security systems as the Security Infrastructure (GSI), due lack of delegation capabilities in mechanisms. We solve this problem using an online credentials repository system, called MyProxy. MyProxy allows use GSI interact resources a standard, secure manner. examine requirements give overview GSI,...
Globus Online manages fire-and-forget file transfers for big-data, high-performance scientific collaborations.
Participants in virtual organizations commonly need to share resources such as data archives, computer cycles, and networks, usually available only with restrictions based on the requested resource's nature user's identity. Thus, any sharing mechanism must have ability authenticate identity determine whether user is authorized request resource. Virtual tend be fluid, however, so authentication mechanisms flexible lightweight, allowing administrators quickly establish change resource-sharing...
An emerging class of data-intensive applications involve the geographically dispersed extraction complex scientific information from very large collections measured or computed data. Such arise, for example, in experimental physics, where data question is generated by accelerators, and simulation science, supercomputers. So-called Data Grids provide essential infrastructure such applications, much as Internet provides services e-mail Web. We describe here two that we believe are fundamental...
The Globus Data Grid architecture (I. Foster and C. Kesselman, 1998), provides a scalable infrastructure for the management of storage resources data that are distributed across environments. These services designed to support variety scientific applications, ranging from high-energy physics computational genomics, require access large amounts (terabytes or even petabytes) with varied quality service requirements. By layering on set core services, such as transport, security, replica...