scholarly journals A GPU Accelerated High Performance Cloud Computing Infrastructure for Grid Computing Based Virtual Environmental Laboratory

10.5772/14594 ◽  
2011 ◽  
Author(s):  
Francisco Giunta ◽  
Raffaele Montella ◽  
Giuliano Laccetti ◽  
Florin Isaila ◽  
Francisco Javier Garca Blas
Keyword(s):  
Cloud Computing ◽  
Grid Computing ◽  
High Performance ◽  
Environmental Laboratory ◽  
Computing Infrastructure

Novel Software Containers for Engineering and Scientific Simulations in the Cloud

2016 ◽  
Vol 8 (1) ◽  
pp. 38-49 ◽  
Author(s):  
Wolfgang Gentzsch ◽  
Burak Yenier
Keyword(s):  
Cloud Computing ◽  
High Performance ◽  
Data Transfer ◽  
Current Status ◽  
Loss Of Control ◽  
On Demand ◽  
Scientific Simulations ◽  
Software Licensing ◽  
Lock In ◽  
Computing Infrastructure

The adoption of cloud computing for engineering and scientific applications is still lagging behind, although many cloud providers today offer powerful computing infrastructure as a service, and enterprises are already making routine use of it. Reasons for this slow adoption are many: complex access to clouds, inflexible software licensing, time-consuming big data transfer, loss of control over their assets, service provider lock-in, to name a few. But recently, with the advent of the UberCloud's novel high-performance software container technology, many of these roadblocks are currently being removed. In this paper the authors describe the current status and landscape of clouds for engineers and scientists, the benefits and challenges, and how UberCloud is providing an online solution platform and container technology which reduce or even remove many of the current roadblock, and thus offer every engineer and scientist additional compute power on demand, in an easily accessible way.

scholarly journals Pengembangan dan Pengujian Sistem Grid Computing Menggunakan Globus Toolkit di Universitas Telkom

2017 ◽  
Vol 2 (1) ◽  
pp. 7
Author(s):  
Izzatul Ummah
Keyword(s):  
Quality Of Service ◽  
Grid Computing ◽  
High Performance Computing ◽  
High Performance ◽  
Matrix Multiplication ◽  
Grid System ◽  
Globus Toolkit ◽  
Performance Computing ◽  
Computing Infrastructure

In this research, we build a grid computing infrastructure by utilizing existing cluster in Telkom University as back-end resources. We used middleware Globus Toolkit 6.0 and Condor 8.4.2 in developing the grid system. We tested the performance of our grid system using parallel matrix multiplication. The result showed that our grid system has achieved good performance. With the implementation of this grid system, we believe that access to high performance computing resources will become easier and the Quality of Service will also be improved.

scholarly journals RAPPORT: running scientific high-performance computing applications on the cloud

2013 ◽  
Vol 371 (1983) ◽  
pp. 20120073 ◽  
Author(s):  
Jeremy Cohen ◽  
Ioannis Filippis ◽  
Mark Woodbridge ◽  
Daniela Bauer ◽  
Neil Chue Hong ◽  
...  
Keyword(s):  
Cloud Computing ◽  
High Performance Computing ◽  
High Performance ◽  
High Energy Physics ◽  
High Energy ◽  
Cloud Infrastructure ◽  
Is Research ◽  
Performance Computing ◽  
Computing Infrastructure ◽  
Energy Physics

Cloud computing infrastructure is now widely used in many domains, but one area where there has been more limited adoption is research computing, in particular for running scientific high-performance computing (HPC) software. The Robust Application Porting for HPC in the Cloud (RAPPORT) project took advantage of existing links between computing researchers and application scientists in the fields of bioinformatics, high-energy physics (HEP) and digital humanities, to investigate running a set of scientific HPC applications from these domains on cloud infrastructure. In this paper, we focus on the bioinformatics and HEP domains, describing the applications and target cloud platforms. We conclude that, while there are many factors that need consideration, there is no fundamental impediment to the use of cloud infrastructure for running many types of HPC applications and, in some cases, there is potential for researchers to benefit significantly from the flexibility offered by cloud platforms.

scholarly journals Virtual Laboratories for Biodiversity Modelling: An Australian perspective

2019 ◽  
Vol 3 ◽  
Author(s):  
Sarah Richmond ◽  
Chantal Huijbers
Keyword(s):  
Cloud Computing ◽  
High Performance ◽  
Best Practice ◽  
Spatial Scales ◽  
Easy Access ◽  
Next Generation ◽  
Ecological Data ◽  
Research Infrastructures ◽  
Computing Infrastructure ◽  
Digital Research

Recent technologies have enabled consistent and continuous collection of ecological data at high resolutions across large spatial scales. The challenge remains, however, to bring these data together and expose them to methods and tools to analyse the interaction between biodiversity and the environment. These challenges are mostly associated with the accessibility, visibility and interoperability of data, and the technical computation needed to interpret the data. Australia has invested in digital research infrastructures through the National Collaborative Research Infrastructure Strategy (NCRIS). Here we present two platforms that provide easy access to global biodiversity, climate and environmental datasets integrated with a suite of analytical tools and linked to high-performance cloud computing infrastructure. The Biodiversity and Climate Change Virtual Laboratory (BCCVL) is a point-and-click online platform for modelling species responses to environmental conditions, which provides an easy introduction into the scientific concepts of models without the need for the user to understand the underlying code. For ecologists who write their own modelling scripts, we have developed ecocloud: a new online environment that provides access to data connected with command-line analysis tools like RStudio and Jupyter Notebooks as well as a virtual desktop environment using Australia’s national cloud computing infrastructure. ecocloud is built through collaborations among key facilities within the ecosciences domain, establishing a collective long-term vision of creating an ecosystem of infrastructure that provides the capability to enable reliable prediction of future environmental outcomes. Underpinning these tools is an innovative training program, ecoEd, which provides cohesive training and skill development to enhance the translation of Australia’s digital research infrastructures to the ecoscience community by educating and upskilling the next generation of environmental scientists and managers. Both of these platforms are built using a best-practice microservice model that allows for complete flexibility, scalability and stability in a cloud environment. Both the BCCVL and ecocloud are open-source developments and provide opportunities for interoperability with other platforms (e.g. Atlas of Living Austalia). In Australia, the same technical infrastructure is also used for a platform for the humanities and social science domain, indicating that the underlying technologies are not domain specific. We therefore welcome collaborations with other organisations to further develop these platforms for the wider bio- and ecoinformatics community. This presentation will showcase the tools, services, and underpinning infrastructure alongside our training and engagement framework as an exemplar in building platforms for next generation biodiversity science.

Similarities and Contrast between Grid Computing and Cloud Computing

2011 ◽  
Vol 3 (3) ◽  
pp. 54-56
Author(s):  
Prof. Milan Kantilal Vachhani ◽  
◽  
Dr. Kishor H Atkotiya
Keyword(s):  
Cloud Computing ◽  
Grid Computing

A Review Paper on Cloud Computing

2018 ◽  
Vol 8 (6) ◽  
pp. 17 ◽  
Author(s):  
Priyanshu Srivastava ◽  
Rizwan Khan
Keyword(s):  
Cloud Computing ◽  
Grid Computing ◽  
Review Paper ◽  
Computing Technology ◽  
Internet Infrastructure ◽  
Before And After ◽  
The Face

Today is the era of Cloud Computing Technology in IT Industries. Cloud computing which is based on Internet has the most powerful architecture of computation. It reckons in of a compilation of integrated and networked hardware, software and internet infrastructure. It has various avails atop grid computing and other computing. In this paper, I have given a brief of evaluation of cloud computing by reviewing more than 30 articles on cloud computing. The outcome of this review signalizes the face of the IT industries before and after the cloud computing.

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