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Displaying 1-28 out of 28 total
Beyond Scientific Workflows: Networked Open Processes
Found in: 2013 IEEE 9th International Conference on eScience (eScience)
By Reginald Cushing,Marian Bubak,Adam Belloum,Cees De Laat
Issue Date:October 2013
pp. 357-364
The multitude of scientific services and processes being developed brings about challenges for future in silico distributed experiments. Choosing the correct service from an expanding body of processes means that the the task of manually building workflows...
Distributed Computing on an Ensemble of Browsers
Found in: IEEE Internet Computing
By Reginald Cushing,Ganeshwara Herawan Hananda Putra,Spiros Koulouzis,Adam Belloum,Marian Bubak,Cees de Laat
Issue Date:September 2013
pp. 54-61
In this article, the authors propose a new approach to distributed computing with Web browsers and introduce the WeevilScout prototype framework. The proliferation of Web browsers and the performance gains being achieved by current JavaScript virtual machi...
Evaluation of Cloud Providers for VPH Applications
Found in: 2013 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)
By Marian Bubak,Marek Kasztelnik,Maciej Malawski,Jan Meizner,Piotr Nowakowski,Susheel Varma
Issue Date:May 2013
pp. 200-201
Infrastructure as a Service (IaaS) clouds are considered interesting sources of computing and storage resources for scientific applications. However, given the large number of cloud vendors and their diverse offerings, it is not trivial for research projec...
A Development and Execution Environment for Early Warning Systems for Natural Disasters
Found in: 2013 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)
By Bartosz Balis,Tomasz Bartynski,Marian Bubak,Grzegorz Dyk,Tomasz Gubala,Marek Kasztelnik
Issue Date:May 2013
pp. 575-582
Early Warning Systems (EWS) may become a powerful tool for mitigating the negative impact of natural disasters, especially when combined with advanced IT solutions - such as on-demand scenario simulations, semi-automatic impact assessment, or real-time ana...
A Cloud-Based Framework for Collaborative Data Management in the VPH-Share Project
Found in: 2013 Workshops of International Conference on Advanced Information Networking and Applications (WAINA)
By Siegfried Benkner,Chris Borckholder,Marian Bubak,Yuriy Kaniovskyi,Richard Knight,Martin Koehler,Spiros Koulouzis,Piotr Nowakowski,Steven Wood
Issue Date:March 2013
pp. 1203-1210
The VPH-Share project objective is to store, share, integrate, and link data, information, knowledge, and wisdom about the physiopathology of the human body to enable their reuse within the virtual physiological human community. Therefore, the projects dev...
How to Use Google App Engine for Free Computing
Found in: IEEE Internet Computing
By Maciej Malawski,Maciej Kuźniar,Piotr Wójcik,Marian Bubak
Issue Date:January 2013
pp. 50-59
Can the Google App Engine cloud service be used, free of charge, to execute parameter study problems? That question drove this research, which is founded on the App Engine's newly developed Task Queue API. The authors created a simple and extensible framew...
Dynamic Handling for Cooperating Scientific Web Services
Found in: eScience, IEEE International Conference on
By Reginald Cushing,Spiros Koulouzis,Adam Belloum,Marian Bubak
Issue Date:December 2011
pp. 232-239
Many e-Science applications are increasingly relying on orchestrating workflows of static web services. The static nature of these web services means that workflow management systems have no control over the underlying mechanics of such services. This lack...
Comparison of Cloud and Local HPC Approach for MUSCLE-based Multiscale Simulations
Found in: e-Science Workshops, IEEE International Conference on
By Katarzyna Rycerz,Marcin Nowak,Pawel Pierzchala,Eryk Ciepiela,Daniel Harezlak,Marian Bubak
Issue Date:December 2011
pp. 81-88
In this paper we present and compare a support for setting up and execution of multiscale applications in the two types of infrastructures: local HPC cluster and Amazon AWS cloud solutions. We focus on applications based on the MUSCLE framework, where dist...
Enabling Web Services to Consume and Produce Large Datasets
Found in: IEEE Internet Computing
By Spiros Koulouzis,Reginald Cushing,Konstantinos A. Karasavvas,Adam Belloum,Marian Bubak
Issue Date:January 2012
pp. 52-60
Service-oriented architectures and Web services are well-established paradigms for developing distributed applications. However, Web services face problems when accessing, moving, and processing large datasets. To address this problem, the authors present ...
Collaborative e-Science Experiments and Scientific Workflows
Found in: IEEE Internet Computing
By Adam Belloum, Marcia A. Inda, Dmitry Vasunin, Vladimir Korkhov, Zhiming Zhao, Han Rauwerda, Timo M. Breit, Marian Bubak, Luis O. Hertzberger
Issue Date:July 2011
pp. 39-47
<p>Recent advances in Internet and grid technologies have greatly enhanced scientific experiments' life cycle. In addition to compute- and data-intensive tasks, large-scale collaborations involving geographically distributed scientists and e-infrastr...
Towards Role-Based Self-healing in Autonomous Monitoring Systems
Found in: Complex, Intelligent and Software Intensive Systems, International Conference
By Wlodzimierz Funika, Piotr Pegiel, Marian Bubak, Jacek Kitowski
Issue Date:February 2010
pp. 1063-1068
The main intention of this paper is to introduce a new role-based approach to self-healing monitoring. Together with that we are going to provide an overview of the existing approaches to the monitoring of distributed systems using self healing features. S...
Providing security for MOCCA component environment
Found in: Parallel and Distributed Processing Symposium, International
By Michal Dyrda,Maciej Malawski,Marian Bubak,Syed Naqvi
Issue Date:May 2009
pp. 1-7
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. The approach is to extend H2O with an authentication mechanism that...
An Ontology Model for Execution Records of Grid Scientific Applications
Found in: Semantics, Knowledge and Grid, International Conference on
By Bartosz Balis, Marian Bubak
Issue Date:December 2008
pp. 34-41
Records of past application executions are particularly important in the case of loosely-coupled, workflow driven scientific applications which are used to conduct in silico experiments, often on top of Grid infrastructures. In this paper, we propose an on...
Virtual Laboratory for Development and Execution of Biomedical Collaborative Applications
Found in: Computer-Based Medical Systems, IEEE Symposium on
By Marian Bubak, Tomasz Gubala, Maciej Malawski, Bartosz Balis, Wlodzimierz Funika, Tomasz Bartynski, Eryk Ciepiela, Daniel Harezlak, Marek Kasztelnik, Joanna Kocot, Dariusz Krol, Piotr Nowakowski, Michal Pelczar, Jakub Wach, Matthias Assel, Alfredo Tirado-Ra
Issue Date:June 2008
pp. 373-378
The ViroLab Virtual Laboratory is a collaborative platform for scientists representing multiple fields of expertise while working together on common scientific goals. This environment makes it possible to combine efforts of computer scientists, virology an...
A New Approach to Development and Execution of Interactive Applications on the Grid
Found in: Cluster Computing and the Grid, IEEE International Symposium on
By Piotr Nowakowski, Daniel Harezlak, Marian Bubak
Issue Date:May 2008
pp. 681-686
This paper presents an approach to development of interactive Grid applications used in the Application Development Platform (Appea), currently under development. The presented environment enables smooth and reliable development of such applications, integ...
Provenance Tracking and Querying in the ViroLab Virtual Laboratory
Found in: Cluster Computing and the Grid, IEEE International Symposium on
By Bartosz Balis, Marian Bubak, Michal Pelczar, Jakub Wach
Issue Date:May 2008
pp. 675-680
We present an approach to provenance tracking and querying which enables end-users to construct complex queries over provenance records. The use of ontologies for modeling provenance, data and applications enables query construction in an end-user oriented...
From Monitoring Data to Experiment Information ? Monitoring of Grid Scientific Workflows
Found in: e-Science and Grid Computing, International Conference on
By Bartosz Balis, Marian Bubak, Michal Pelczar
Issue Date:December 2007
pp. 77-84
Monitoring of running scientific workflows (experiments) is not only important for observing their execution status, but also for collecting provenance, improving performance, knowledge extraction, etc. We propose an ontology model of experiment informatio...
User-Oriented Querying over Repositories of Data and Provenance
Found in: e-Science and Grid Computing, International Conference on
By Bartosz Balis, Marian Bubak, Jakub Wach
Issue Date:December 2007
pp. 187-194
We propose an end-user oriented approach to querying repositories of data and provenance in e-Science environments. The approach is based on ontology models describing multiple domains ? in silico experiments, provenance, data, and applications. Those onto...
K-WfGrid Distributed Monitoring and Performance Analysis Services for Workflows in the Grid
Found in: e-Science and Grid Computing, International Conference on
By Hong-Linh Truong, Peter Brunner, Thomas Fahringer, Francesco Nerieri, Robert Samborski, Bartosz Balis, Marian Bubak, Kuba Rozkwitalski
Issue Date:December 2006
pp. 15
Grid workflows for e-science are complex and prone to failures. However, there is a lack of performance monitoring and analysis tools for supporting the user as well as workflow middleware to monitor and understand the performance of complex interactions a...
Grid Support for HLA-Based Collaborative Environment for Vascular Reconstruction
Found in: e-Science and Grid Computing, International Conference on
By Katarzyna Rycerz, Marian Bubak, Maciej Malawski, Peter Sloot
Issue Date:December 2006
pp. 48
Collaborative environments where users can interact with running simulations are an important aspect of e- Science. To achieve efficient execution of High Level Architecture (HLA)-based collaborative environments on the Grid, we introduce a Grid HLA Manage...
Towards User-Defined Performance Monitoring of Distributed Java Applications
Found in: e-Science and Grid Computing, International Conference on
By Wlodzimierz Funika, Piotr Godowski, Piotr Pegiel, Marian Bubak
Issue Date:December 2006
pp. 54
This paper presents a new approach to the issues of performance monitoring and visualization of distributed applications using the J-OCM monitoring system. We are focusing on the building of a GUI measurement-oriented tool with a flexible functionality, Ja...
Semantic Composition of Scientific Workflows Based on the Petri Nets Formalism
Found in: e-Science and Grid Computing, International Conference on
By Tomasz Gubala, Daniel Herezlak, Marian Bubak, Maciej Malawski
Issue Date:December 2006
pp. 12
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. It shows all the important dependencies as a set of connections of data flow and/or contr...
Monitoring of HLA Grid Application Federates with OCM-G
Found in: Distributed Simulation and Real Time Applications, IEEE/ACM International Symposium on
By Katarzyna Rycerz, Bartosz Baliś, Robert Szymacha, Marian Bubak, Peter Sloot
Issue Date:October 2004
pp. 125-132
In this paper we describe a Grid-enabled system for monitoring HLA-based applications to enable load balancing by migration of federates. The monitoring is based on the OCM-G system [2].We show how the design concepts of the OCM-G enable easy adaptation to...
Towards a Grid Management System for HLA-Based Interactive Simulations
Found in: Distributed Simulation and Real Time Applications, IEEE/ACM International Symposium on
By Katarzyna Zając, Marian Bubak, Maciej Malawski, Peter Sloot
Issue Date:October 2003
pp. 4
This paper presents the design of a system that supports execution of HLA distributed interactive simulations in an unreliable Grid environment. The design of the architecture is based on the OGSA concept that allows for modularity and compatibility with G...
Support for Cooperative Experiments in VL-e: From Scientific Workflows to Knowledge Sharing
Found in: eScience, IEEE International Conference on
By Zhiming Zhao, Adam Belloum, Marian Bubak, Bob Hertzberger
Issue Date:December 2008
pp. 329-330
Recent advances in Internet and Grid technologies have greatly enhanced processes in scientific experiments; not only computing and data intensive tasks become feasible, but also large scale collaborations between resources and users are now possible. Scie...
A Framework for Interactive Parameter Sweep Applications
Found in: Cluster Computing and the Grid, IEEE International Symposium on
By Adianto Wibisono, Zhiming Zhao, Adam Belloum, Marian Bubak
Issue Date:May 2008
pp. 703
A typical parameter sweep application (PSA) is a parameterized application which has to be executed independently large number of times, to locate a particular point in the parameter space that satisfies certain criteria.??Albeit simple in terms of computa...
Workflow as a service: an approach to workflow farming
Found in: Proceedings of the 3rd international workshop on Emerging computational methods for the life sciences (ECMLS '12)
By Adam S.Z. Belloum, Carole Leguy, Dmitry Vasyunin, Marian Bubak, Reginald Cushing, Vladimir Korkhov
Issue Date:June 2012
pp. 23-31
Task farming is often used to enable parameter sweep for exploration of large sets of initial conditions for large scale complex simulations. Available solutions enable to perform parameter sweep by creating multiple grid job submissions with different par...
Prediction-based auto-scaling of scientific workflows
Found in: Proceedings of the 9th International Workshop on Middleware for Grids, Clouds and e-Science (MGC '11)
By Adam S. Z. Belloum, Marian Bubak, Reginald Cushing, Spiros Koulouzis
Issue Date:December 2011
pp. 1-6
In this paper we propose a novel method for auto-scaling data-centric workflow tasks. Scaling is achieved through a prediction mechanism where the input data load on each task within a workflow is used to compute the estimated task execution time. Through ...