Marian Bubak

Heterogeneous Exascale Computing

Exascale services bring new unique challenges that the current computational, big data and workflow solutions are unable to meet.

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Towards a European Health Research and Innovation Cloud (HRIC)

The European Union (EU) initiative on the Digital Transformation of Health and Care (Digicare) aims to provide the conditions necessary for building a secure, flexible, and decentralized digital health infrastructure.

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Application of Continuous Time Quantum Walks to Image Segmentation

This paper provides the algorithm that applies concept of continuous time quantum walks to image segmentation problem.

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Exascale Computing and Data Architectures for Brownfield Applications

Despite the recent dramatic advances in the computational and data processing capacities of the commodity solutions, a numerous scientific, socioeconomic and industrial “grand challenges” exists that could be solved only through capabilities that exceed the current solutions by orders of magnitude.

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Composing, Execution and Sharing of Multiscale Applications

This paper presents the research which led to elaboration of an environment for composing, executing and sharing multiscale applications.

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Teaching Quantum Computing with the QuIDE Simulator

Recently, the idea of quantum computation is becoming more and more popular and there are many attempts to build quantum computers.

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Towards A Novel Environment for Simulation of Quantum Computing

In this paper, we analyze existing quantum computer simulation techniques and their realizations to minimize the impact of the exponential complexity of simulated quantum computations.

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Applying Workflow as a Service Paradigm to Application Farming

SUMMARYTask farming is often used to enable parameter sweep for exploration of large sets of initial conditions for large scale complex simulations.

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Cost Optimization of Execution of Multi-Level Deadline-Constrained Scientific Workflows on Clouds

This paper introduces a cost optimization model for scientific workflows on IaaS clouds such as Amazon EC2 or RackSpace.

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Secure Storage and Processing of Confidential Data on Public Clouds

The goal of this paper is to describe problems associated with storage and processing of confidential data in public clouds, and to propose relevant mitigation strategies.

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Distributed Computing on an Ensemble of Browsers

In this article, the authors propose a new approach to distributed computing with Web browsers and introduce the WeevilScout prototype framework.

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Evaluation of Cloud Providers for VPH Applications

Infrastructure as a Service (IaaS) clouds are considered interesting sources of computing and storage resources for scientific applications.

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MapReduce Operations with WS-VLAM Workflow Management System

Workflow management systems are widely used to solve scientific problems as they enable orchestration of remote and lo- cal services such as database queries, job submission and running an application.

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OIntEd: Online Ontology Instance Editor Enabling a New Approach to Ontology Development

SUMMARYOntology development involves people with different background knowledge and expertise. It is an elaborate process, where sophisticated tools for experienced knowledge engineers are available.

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Support for Multiscale Simulations with Molecular Dynamics

We present a reusable solution that supports users in combining single-scale models to create a multiscale application.

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The Collage Authoring Environment: From Proof-of-Concept Prototype to Pilot Service

The aim of this paper is to present the pilot service of the Collage Authoring Environment enabling executable scientific publications that is based on the GridSpace2 distributed computing platform and integrated with the online publisher platform ScienceDirect, provided under the auspices of Elsevier.

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Component-Based Approach for Programming and Running Scientific Applications on Grids and Clouds

This paper presents an approach to programming and running scientific applications on grid and cloud infrastructures based on two principles: the first one is to follow a component-based programming model, the second is to apply a flexible technology which allows for virtualization of the underlying infrastructure.

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Computations of Protein Hydrophobicity Profile as Virtual Experiment in Gridspace Virtual Laboratory

ABSTRACT The terms like e-science, e-poster or e-health are nowadays commonly used.

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Constructing Workflows from Script Applications

For programming and executing complex applications on grid infrastructures, scientific workflows have been proposed as convenient high-level alternative to solutions based on general-purpose programming languages, APIs and scripts.

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Implementation of Service Level Management in PL-Grid Infrastructure

One of the key concept of Grids – as stated in their definition – is providing nontrivial quality of service.

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Managing Entire Lifecycles of E-Science Applications in the GridSpace2 Virtual Laboratory – From Motivation through Idea to Operable Web-Accessible Environment Built on Top of PL-Grid e-Infrastructure

The GridSpace2 environment, developed in the scope of the PL-Grid Polish National Grid Initiative, constitutes a comprehensive platform which supports e-science applications throughout their entire lifecycle.

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Scripting Language Extensions Offered by the GridSpace Experiment Platform

Many existing problem solving environments provide scientists with convenient methods for building scientific applications over distributed computational and storage resources.

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Flood Early Warning System: Design, Implementation and Computational Modules

We present a prototype of the flood early warning system (EWS) developed within the UrbanFlood FP7 project.

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Quilt: Interactive Publications

This paper introduces the Quilt Interactive Publication platform, which can be used by computational scientists to publish their research results in the form of interactive publications.

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The UrbanFlood Common Information Space for Early Warning Systems

Early Warning Systems (EWS) can play a crucial role in mitigating the effects of natural disasters.

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Invocation of Operations from Script-Based Grid Applications

In this paper we address the complexity of building and running modern scientific applications on various Grid systems with heterogeneous middleware.

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Providing Security for MOCCA Component Environment

The subject of this paper is a detailed analysis and development of security in MOCCA, a CCA-compliant Grid component framework build over H2O, a Java-based distributed computing platform.

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Monitoring Infrastructure for Grid Scientific Workflows

Scientific workflows, being heterogeneous, loosely coupled, large-scale and distributed, pose new challenges on application monitoring.

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From Molecule to Man: Decision Support in Individualized E-Health

Computer science provides the language needed to study and understand complex multiscale, multiscience systems.

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GridSpace – Semantic Programming Environment for the Grid

The Grid computing plaform which has emerged recently, while robust and feature-rich, is still considerably complex to program for.

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Semantic Composition of Scientific Workflows Based on the Petri Nets Formalism

The idea of an application described through its workflow is becoming popular in the Grid community as a natural method of functional decomposition of an application.

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