16 papers · ranked by Valyu relevance
Tarek Sherif, Pierre Rioux, Marc-Etienne Rousseau, Nicolas Kassis + 5 more
'Natacha Beck' 'Reza Adalat' 'Samir Das' 'Tristan Glatard' 'Alan C. Evans'] The Canadian Brain Imaging Research Platform (CBRAIN) is a web-based collaborative research platform developed in response to the challenges raised by data-heavy, compute-intensive neuroimaging research. CBRAIN offers transparent access to…
Higinio Mora, María Teresa Signes-Pont, David Gil, Magnus Johnsson
The new sensing applications need enhanced computing capabilities to handle the requirements of complex and huge data processing. The Internet of Things (IoT) concept brings processing and communication features to devices. In addition, the Cloud Computing paradigm provides resources and infrastructures for performing…
Behzad D. Karkaria, Neythen J. Treloar, Chris P. Barnes, Alex J. H. Fedorec
A distributed biological system can be defined as a system whose components are located in different subpopulations, which communicate and coordinate their actions through interpopulation messages and interactions. We see that distributed systems are pervasive in nature, performing computation across all scales, from…
Richard A. Erickson, Michael N. Fienen, S. Grace McCalla, Emily L. Weiser + 4 more
Biologists and environmental scientists now routinely solve computational problems that were unimaginable a generation ago. Examples include processing geospatial data, analyzing -omics data, and running large-scale simulations. Conventional desktop computing cannot handle these tasks when they are large, and…
Yuliya V Karpievitch, Jonas S Almeida
Background Matlab, a powerful and productive language that allows for rapid prototyping, modeling and simulation, is widely used in computational biology. Modeling and simulation of large biological systems often require more computational resources then are available on a single computer. Existing distributed…
Yunhong Gu, Robert L. Grossman
Cloud computing has demonstrated that processing very large datasets over commodity clusters can be done simply, given the right programming model and infrastructure. In this paper, we describe the design and implementation of the Sector storage cloud and the Sphere compute cloud. By contrast with the existing storage…
Jin-Woo Kwon, Seong-Jin Yun, Won-Tae Kim, Chase Wu + 2 more
'Kihyeon Kwon'] As natural disasters become extensive, due to various environmental problems, such as the global warming, it is difficult for the disaster management systems to rapidly provide disaster prediction services, due to complex natural phenomena. Digital twins can effectively provide the services using…
Mei Chen
One of the most effective approaches to improve resource usage efficiency and degree of resource collecting is to integrate resources. Many studies on the integration of information resources are also available. The search engines are the most well-known. At the same time, this article intends to optimize the…
Yizi Shang, Ling Shang, Chuanchang Gao, Guiming Lu + 2 more
'Dongdong Jia'] This paper is to make further research on facilitating the large-scale scientific computing on the grid and the desktop grid platform. The related issues include the programming method, the overhead of the high-level program interface based middleware, and the data anticipate migration. The block based…
Murad B. Khorsheed, Qasim M. Zainel, Oday A. Hassen, Saad M. Darwish
This paper applies the entropy-based fractal indexing scheme that enables the grid environment for fast indexing and querying. It addresses the issue of fault tolerance and load balancing-based fractal management to make computational grids more effective and reliable. A fractal dimension of a cloud of points gives an…
David Carrascal, Elisa Rojas, Juan A. Carral, Isaias Martinez-Yelmo + 1 more
The current society is becoming increasingly interconnected and hyper-connected. Communication networks are advancing, as well as logistics networks, or even networks for the transportation and distribution of natural resources. One of the key benefits of the evolution of these networks is to bring consumers closer to…
Noa Zilberman, Andrew W. Moore, Jon A. Crowcroft
Computer architectures have entered a watershed as the quantity of network data generated by user applications exceeds the data-processing capacity of any individual computer end-system. It will become impossible to scale existing computer systems while a gap grows between the quantity of networked data and the…
Zhipeng Gui, Manzhu Yu, Chaowei Yang, Yunfeng Jiang + 8 more
'Jizhe Xia' 'Qunying Huang' 'Kai Liu' 'Zhenlong Li' 'Mohammed Anowarul Hassan' 'Baoxuan Jin' 'M. Sohel Rahman'] Dust storm has serious disastrous impacts on environment, human health, and assets. The developments and applications of dust storm models have contributed significantly to better understand and predict the…
Samreen Laghari, Muaz A. Niazi, Matjaz Perc
Now that we have talked about various agents, we now present strategies which may be used to allocate carbon footprint to individual computers. Once an amount of carbon footprint to a particular corporate environment has been allocated, five types of CFPA distribution schemes are proposed here as examples for usage in…
Muhammad Murtaza Yousaf, Michael Welzl
We present a network-aware HEFT. The original HEFT does not take care of parallel network flows while designing its schedule for a computational environment where computing nodes are physically at distant locations. In the proposed mechanism, such data transfers are stretched to their realistic completion time. A HEFT…
Klaithem Al Nuaimi, Nader Mohamed, Mariam Al Nuaimi, Jameela Al-Jaroodi
'Jameela Al-Jaroodi'] We present a novel approach to solve the cloud storage issues and provide a fast load balancing algorithm. Our approach is based on partitioning and concurrent dual direction download of the files from multiple cloud nodes. Partitions of the files are saved on the cloud rather than the full files…