29 research outputs found
Global Grids and Software Toolkits: A Study of Four Grid Middleware Technologies
Grid is an infrastructure that involves the integrated and collaborative use
of computers, networks, databases and scientific instruments owned and managed
by multiple organizations. Grid applications often involve large amounts of
data and/or computing resources that require secure resource sharing across
organizational boundaries. This makes Grid application management and
deployment a complex undertaking. Grid middlewares provide users with seamless
computing ability and uniform access to resources in the heterogeneous Grid
environment. Several software toolkits and systems have been developed, most of
which are results of academic research projects, all over the world. This
chapter will focus on four of these middlewares--UNICORE, Globus, Legion and
Gridbus. It also presents our implementation of a resource broker for UNICORE
as this functionality was not supported in it. A comparison of these systems on
the basis of the architecture, implementation model and several other features
is included.Comment: 19 pages, 10 figure
e-Science: the added value for modern discovery
e-Science, a new approach based on computer simulation, is increasingly being adopted as one of the most successful modern methods for experimental scientific discovery
Polish grid infrastructure for science and research
Structure, functionality, parameters and organization of the computing Grid
in Poland is described, mainly from the perspective of high-energy particle
physics community, currently its largest consumer and developer. It represents
distributed Tier-2 in the worldwide Grid infrastructure. It also provides
services and resources for data-intensive applications in other sciences.Comment: Proceeedings of IEEE Eurocon 2007, Warsaw, Poland, 9-12 Sep. 2007,
p.44
PetaFlow: a global computing-networking-visualisation unitwith social impact
International audienceThe PetaFlow application aims to contribute to the use of high performance computational resources forthe benefit of society. To this goal the emergence of adequate information and communication technologies withrespect to high performance computing-networking-visualisation and their mutual awareness is required. Thedeveloped technology and algorithms are presented and applied to a real global peta-scale data intensive scientificproblem with social and medical importance, i.e. human upper airflow modelling
e-Infrastructures for e-Science: A Global View
In the last 10 years, a new way of doing science is spreading in the world thank to the development of virtual research communities across many geographic and administrative boundaries. A virtual research community is a widely dispersed group of researchers and associated scientific instruments working together in a common virtual environment. This new kind of scientific environment, usually addressed as a "collaboratory", is based on the availability of high-speed networks and broadband access, advanced virtual tools and Grid-middleware technologies which, altogether, are the elements of the e-Infrastructures. The European Commission has heavily invested in promoting this new way of collaboration among scientists funding several international projects with the aim of creating e-Infrastructures to enable the European Research Area and connect the European researchers with their colleagues based in Africa, Asia and Latin America. In this paper we describe the actual status of these e- Infrastructures and present a complete picture of the virtual research communities currently using them. Information on the scientific domains and on the applications supported are provided together with their geographic distribution
Notebook-as-a-VRE (NaaVRE): From private notebooks to a collaborative cloud virtual research environment
Virtual Research Environments (VREs) provide user-centric support in the
lifecycle of research activities, e.g., discovering and accessing research
assets, or composing and executing application workflows. A typical VRE is
often implemented as an integrated environment, which includes a catalog of
research assets, a workflow management system, a data management framework, and
tools for enabling collaboration among users. Notebook environments, such as
Jupyter, allow researchers to rapidly prototype scientific code and share their
experiments as online accessible notebooks. Jupyter can support several popular
languages that are used by data scientists, such as Python, R, and Julia.
However, such notebook environments do not have seamless support for running
heavy computations on remote infrastructure or finding and accessing software
code inside notebooks. This paper investigates the gap between a notebook
environment and a VRE and proposes an embedded VRE solution for the Jupyter
environment called Notebook-as-a-VRE (NaaVRE). The NaaVRE solution provides
functional components via a component marketplace and allows users to create a
customized VRE on top of the Jupyter environment. From the VRE, a user can
search research assets (data, software, and algorithms), compose workflows,
manage the lifecycle of an experiment, and share the results among users in the
community. We demonstrate how such a solution can enhance a legacy workflow
that uses Light Detection and Ranging (LiDAR) data from country-wide airborne
laser scanning surveys for deriving geospatial data products of ecosystem
structure at high resolution over broad spatial extents. This enables users to
scale out the processing of multi-terabyte LiDAR point clouds for ecological
applications to more data sources in a distributed cloud environment.Comment: A revised version has been published in the journal software practice
and experienc