A5068300137- Distributed and Parallel Computing Systems
- Scientific Computing and Data Management
- Cloud Computing and Resource Management
- Parallel Computing and Optimization Techniques
- Research Data Management Practices
- Blockchain Technology Applications and Security
- Advanced Data Storage Technologies
- Interconnection Networks and Systems
- Data Quality and Management
- IoT and Edge/Fog Computing
- Privacy-Preserving Technologies in Data
- Software-Defined Networks and 5G
- Data Stream Mining Techniques
- Quantum Information and Cryptography
- Peer-to-Peer Network Technologies
- Cloud Data Security Solutions
- Semantic Web and Ontologies
- Big Data and Business Intelligence
- Neural Networks and Reservoir Computing
- Complexity and Algorithms in Graphs
- BIM and Construction Integration
- Superconducting Materials and Applications
- Scheduling and Optimization Algorithms
- Advanced Graph Theory Research
- Experimental Learning in Engineering
University of Notre Dame
2015-2024
Notre Dame University
2021
Lawrence Berkeley National Laboratory
2019
Carmel Research Center
2014
Louisiana State University
2009
Poznan Supercomputing and Networking Center
2000-2008
Large-scale applications expressed as scientific workflows are often grouped into ensembles of inter-related workflows. In this paper, we address a new and important problem concerning the efficient management such under budget deadline constraints on Infrastructure- as-a-Service (IaaS) clouds. We discuss, develop, assess algorithms based static dynamic strategies for both task scheduling resource provisioning. perform evaluation via simulation using set workflow with broad range parameters,...
Large-scale applications expressed as scientific workflows are often grouped into ensembles of inter-related workflows. In this paper, we address a new and important problem concerning the efficient management such under budget deadline constraints on Infrastructure- as-aService (IaaS) clouds. We discuss, develop, assess algorithms based static dynamic strategies for both task scheduling resource provisioning. perform evaluation via simulation using set workflow with broad range parameters,...
The act of sharing scientific knowledge is rapidly evolving away from traditional articles and presentations to the delivery executable objects that integrate data computational details (e.g., scripts workflows) upon which findings rely. This envisioned coupling process essential advancing science but faces technical institutional barriers. Whole Tale project aims address these barriers by connecting computational, data-intensive research efforts with larger process—transforming discovery...
Grid technology is widely emerging. Still, there an eminent shortage of real users, mostly due to the lack a “critical mass” deployed and reliable higher-level services, tailored application needs. The GridLab project aims provide fundamentally new capabilities for applications exploit power computing, thus bridging gap between needs existing middleware. We present overview GridLab, large-scale, EU-funded spanning over dozen groups in Europe US. first outline our vision Grid-empowered then...
This paper presents a cost optimization model for scheduling scientific workflows on IaaS clouds such as Amazon EC2 or RackSpace. We assume multiple with heterogeneous virtual machine instances, limited number of instances per cloud and hourly billing. Input output data are stored object store S3. Applications modeled DAGs in the Pegasus Workflow Management System. that tasks grouped into levels identical tasks. Our is specified using mathematical programming languages (AMPL CMPL) allows us...
Large computational problems may often be modelled using multiple scientific workflows with similar structure. These can grouped into ensembles, which executed on distributed platforms such as the Cloud. In this paper, we focus provisioning of resources for workflow ensembles and address problem meeting energy constraints along either budget or deadline constraints. We propose evaluate two energy-aware algorithms that used resource task scheduling. Experimental evaluation is based...
Ethereum is currently the second largest blockchain by market capitalization and a popular platform for cryptocurrencies. As it has grown, high value present anonymity afforded technology have led to become hotbed various cybercrimes. This paper seeks understand how these fraudulent schemes may be characterized develop methods detecting them. One key feature introduced ability use programmable smart contracts execute code on blockchain. A common of implementing fungible tokens with ERC-20...
Ethereum is currently the second largest blockchain by market capitalization and a popular platform for cryptocurrencies. As it has grown, high value present anonymity afforded technology have led to become hotbed various cybercrimes. This paper seeks understand how these fraudulent schemes may be characterized develop methods detecting them. One key feature introduced ability use programmable smart contracts execute code on blockchain. A common of implementing fungible tokens with ERC-20...
Grid computing has become one of the most important research topics that appeared in field last years. Simultaneously, we have noticed growing popularity new Web‐based technologies which allow us to create application‐oriented middleware services providing capabilities required for dynamic resource and job management, monitoring, security, etc. Consequently, end users are able get easier access geographically distributed resources. In this paper present results our experiments with Grid(Lab)...
Grid simulation tools provide frameworks for simulating application scheduling in various infrastructures. However, while experimenting with many existing tools, we have encountered two main shortcomings: (i) there are no generating workloads, resources and events ; (ii) it is difficult time consuming to model different levels, i.e. resource brokers, local level systems. In this paper present the Scheduling Simulator (GSSIM), a framework that addresses these shortcomings provides an...
In the paper we present two different models of Grid resource management problems: (i) scheduling problems with no time characteristics available, and (ii) jobs in presence achieved by using some prediction techniques, reservation mechanisms.We focus on demonstrating how these scenarios, which are important examples environments, can be modeled as multi-criteria decision support problems.We also discuss advantages disadvantages well practical applications.
Abstract Adopting shared data resources requires scientists to place trust in the originators of data. When is later used development artificial intelligence (AI) systems or machine learning (ML) models, lineage extends users system, typically practitioners fields such as healthcare and finance. Practitioners rely on AI developers have relevant, trustworthy data, but may limited insight recourse. This article introduces a software architecture implementation system based design patterns from...
The Testbed and Applications working group of the European Grid Forum (EGrid) is actively building experimenting with a grid infrastructure connecting several research-based supercomputing sites located in Europe. paper reports on our first feasibility study: running self-migrating version Cactus simulation code across testbed, including "live" remote data visualization steering from different demonstration booths at Supercomputing 2000, Dallas, TX. We report problems that had to be resolved...
We present and define a structured digital object, called "Tale," for the dissemination publication of computational scientific findings in scholarly record. The Tale emerges from NSF funded Whole project (wholetale.org) which is developing environment designed to capture entire pipeline associated with experiment thereby enable reproducibility. A allows researchers create package code, data information about workflow necessary support, review, recreate results reported published research....
In order to increase the value of scientific datasets and improve research outcomes, it is important that only trustworthy data used. This paper presents mechanisms by which scientists organisations they represent can certify authenticity characteristics provenance any publish so secondary users inspect gain confidence in qualities source. By drawing on models protocols used provide self-sovereign ownership identity personal individuals, we conclude providing self-sovereignty assets offers a...
Current and near term quantum computers (i.e. NISQ devices) are limited in their computational power part due to qubit decoherence. Here we seek take advantage of decoherence as a resource simulating the behavior real world systems, which always subject decoherence, with no additional overhead. As first step toward this goal simulate thermal relaxation beats radical ion pairs (RPs) on computer proof concept method. We present three methods for implementing relaxation, one explicitly applies...