A5060366411- Distributed and Parallel Computing Systems
- Scientific Computing and Data Management
- Advanced Data Storage Technologies
- Peer-to-Peer Network Technologies
- Cloud Computing and Resource Management
- SARS-CoV-2 and COVID-19 Research
- Access Control and Trust
- Distributed systems and fault tolerance
- COVID-19 Clinical Research Studies
- Parallel Computing and Optimization Techniques
- Health, Environment, Cognitive Aging
- COVID-19 and Mental Health
- IPv6, Mobility, Handover, Networks, Security
- Respiratory viral infections research
- dental development and anomalies
- Obesity, Physical Activity, Diet
- Healthcare Systems and Technology
- Youth Development and Social Support
- Hydraulic and Pneumatic Systems
- Advanced Causal Inference Techniques
- COVID-19 epidemiological studies
- SARS-CoV-2 detection and testing
- Service-Oriented Architecture and Web Services
- Computational Physics and Python Applications
- Meta-analysis and systematic reviews
University of Southern California
2003-2022
RAND Corporation
2014
Southern California University for Professional Studies
2004-2009
Southern States University
2003-2006
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...
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...
Advances in computational, storage and network technologies as well middle ware such the Globus Toolkit allow scientists to expand sophistication scope of data-intensive applications. These applications produce analyze terabytes petabytes data that are distributed millions files or objects. To manage these large sets efficiently, metadata descriptive information about needs be managed. There various types metadata, it is likely a range services will exist Grid environments specialized for...
Virtual organizations (VOs) are communities of resource providers and users distributed over multiple policy domains. These VOs often wish to define enforce consistent policies in addition the their underlying This is challenging, not only because problems distributing domains, but also fact that those domains may each have different capabilities for enforcing policy. The Community Authorization Service (CAS) solves this problem by allowing delegate some authority VO while maintaining...
Many Physics experiments today generate large volumes of data. That data is then processed in a variety ways order to achieve the understanding fundamental physical phenomena. The goal NSF-funded GriPhyN project (Grid Network) enable scientists seamlessly access whether it raw experimental or product which result further processing. provides new degree transparency how data-handling and processing capabilities are integrated deliver products end-users applications, so that requests for such...
This article describes the patient-centered Scalable National Network for Effectiveness Research (pSCANNER), which is part of recently formed PCORnet, a national network composed learning healthcare systems and patient-powered research networks funded by Patient Centered Outcomes Institute (PCORI). It designed to be stakeholder-governed federated that uses distributed architecture integrate data from three existing covering over 21 million patients in all 50 states: (1) VA Informatics...
Data sets being managed in grid environments today are growing at a rapid rate, expected to reach 100s of petabytes the near future. Managing such large data poses challenges for efficient access, publication and discovery. In this paper we focus on discovery process through use descriptive metadata. This metadata describe properties individual items collections. We discuss issues services service rich environments, as grid. requirements architecture context available services. present model...
The Globus Toolkit Monitoring and Discovery System (MDS4) defines implements mechanisms for service resource discovery monitoring in distributed environments. MDS4 is distinguished from previous similar systems by its extensive use of interfaces behaviors defined the WS-Resource Framework WS-Notification specifications, deep integration into essentially every component Toolkit. We describe architecture Web that allow users to discover resources services, monitor states, receive updates on...
Data sets being managed in grid environments today are growing at a rapid rate, expected to reach 100s of petabytes the near future. Managing such large data poses challenges for efficient access, publication and discovery. In this paper we focus on discovery process through use descriptive metadata. This metadata describe properties individual items collections. We discuss issues services service rich environments, as grid. requirements architecture context available services. present model...
Many production Grid and e-Science infrastructures have begun to offer services end-users during the past several years with an increasing number of scientific applications that require access a wide variety resources in multiple Grids. Therefore, Interoperation Now—Community Group Open Forum—organizes manages interoperation efforts among those reach goal world-wide vision on technical level near future. This contribution highlights fundamental approaches group discusses open standards...
Earthquake engineers have traditionally investigated the behavior of structures with either computational simulations or physical experiments. Recently, a new hybrid approach has been proposed that allows tests to be decomposed into independent substructures can located at different test facilities, tested separately, and integrated via simulation. We describe grid-based architecture for performing such novel distributed computational/physical discuss requirements underlie this extremely...
Abstract Background Centralized and federated models for sharing data in research networks currently exist. To build multivariate analysis centralized networks, transfer of patient-level to a central computation resource is necessary. The authors implemented distributed which kept at each site exchange policies are managed study-centric manner. Objective objective was implement infrastructure that supports the functionality some existing (e.g., cohort discovery, workflow management,...
In production Grids for scientific applications, service and resource failures must be detected addressed quickly. this paper, we describe the monitoring infrastructure used by Earth System Grid (ESG) project, a collaboration that supports global climate research. ESG uses Globus Toolkit Monitoring Discovery (MDS4) to monitor its resources. We how MDS4 Index Service collects information about resources Trigger checks specified failure conditions notifies system administrators when occur....
In production Grids for scientific applications, service and resource failures must be detected addressed quickly. this paper, we describe the monitoring infrastructure used by Earth System Grid (ESG) project, a collaboration that supports global climate research. ESG uses Globus Toolkit Monitoring Discovery (MDS4) to monitor its resources. We how MDS4 Index Service collects information about resources Trigger checks specified failure conditions notifies system administrators when occur....
The NSF TeraGrid project has designed and constructed a federated integrated information service (IIS) to serve its capability publishing discovery needs. This also proven helpful in automating TeraGrid's operational activities. We describe the requirements that motivated this work; IIS's system architecture, content; processes IIS currently supports; how various layers of architecture are being used. review motivating use cases have not yet been satisfied by outline approaches for future work.
LHC-era HENP experiments will generate unprecidented volumes of data and require commensurately large compute resources. These resources are larger than can be marshalled at any one site within the community. Production reconstruction, analysis, simulation need to take maximum advantage these distributed computing storage using new capabilities offered by Grid paradigm. Since large-scale, coordinated involves user access across many Regional Centers national funding boundaries, most crucial...
Petascale science is an end-to-end endeavour, involving not only the creation of massive datasets at supercomputers or experimental facilities, but subsequent analysis that data by a user community may be distributed across many laboratories and universities. The new SciDAC Center for Enabling Distributed Science (CEDPS) developing tools to support this process. These include placement services reliable, high-performance, secure, policy-driven within environment; techniques construction,...