An environment for modeling and simulation of message-passing parallel applications for cloud computing

2012 ◽  
Vol 43 (11) ◽  
pp. 1359-1375 ◽  
Author(s):  
Saurabh Kumar Garg ◽  
Rajkumar Buyya
Keyword(s):  
Cloud Computing ◽  
Modeling And Simulation ◽  
Message Passing ◽  
Parallel Applications

scholarly journals ThermoSim: Deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments

2020 ◽  
Vol 166 ◽  
pp. 110596 ◽  
Author(s):  
Sukhpal Singh Gill ◽  
Shreshth Tuli ◽  
Adel Nadjaran Toosi ◽  
Felix Cuadrado ◽  
Peter Garraghan ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Deep Learning ◽  
Resource Management ◽  
Modeling And Simulation ◽  
Computing Environments

scholarly journals Cloud Computing for Rigorous Coupled-Wave Analysis

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
N. L. Kazanskiy ◽  
P. G. Serafimovich
Keyword(s):  
Cloud Computing ◽  
High Performance ◽  
Parallel Applications ◽  
Data Sets ◽  
Wave Analysis ◽  
Data Intensive ◽  
Rigorous Coupled Wave Analysis ◽  
Rigorous Coupled Wave ◽  
Effective Use ◽  
Coupled Wave

Design and analysis of complex nanophotonic and nanoelectronic structures require significant computing resources. Cloud computing infrastructure allows distributed parallel applications to achieve greater scalability and fault tolerance. The problems of effective use of high-performance computing systems for modeling and simulation of subwavelength diffraction gratings are considered. Rigorous coupled-wave analysis (RCWA) is adapted to cloud computing environment. In order to accomplish this, data flow of the RCWA is analyzed and CPU-intensive operations are converted to data-intensive operations. The generated data sets are structured in accordance with the requirements of MapReduce technology.

Demonstration of cluster computing for three-dimensional CFD simulations

1999 ◽  
Vol 103 (1027) ◽  
pp. 443-447 ◽  
Author(s):  
W. McMillan ◽  
M. Woodgate ◽  
B. E. Richards ◽  
B. J. Gribben ◽  
K. J. Badcock ◽  
...  
Keyword(s):  
Message Passing ◽  
Large Scale ◽  
Cluster Computing ◽  
Low Cost ◽  
Three Dimensional ◽  
Cost Effective ◽  
Parallel Applications ◽  
Cfd Simulations ◽  
Single Node ◽  
Computing Unit

Abstract Motivated by a lack of sufficient local and national computing facilities for computational fluid dynamics simulations, the Affordable Systems Computing Unit (ASCU) was established to investigate low cost alternatives. The options considered have all involved cluster computing, a term which refers to the grouping of a number of components into a managed system capable of running both serial and parallel applications. The present work aims to demonstrate the utility of commodity processors for dedicated batch processing. The performance of the cluster has proved to be extremely cost effective, enabling large three dimensional flow simulations on a computer costing less than £25k sterling at current market prices. The experience gained on this system in terms of single node performance, message passing and parallel performance will be discussed. In particular, comparisons with the performance of other systems will be made. Several medium-large scale CFD simulations performed using the new cluster will be presented to demonstrate the potential of commodity processor based parallel computers for aerodynamic simulation.

scholarly journals Modeling and Simulation of Cloud Computing Solution for Distributed Space Data Storage and Access In Mobile Communication Networks / Mākoņskaitļošanas Risinājuma Modelēšana Un Simulācija Izkliedētai Kosmiskas Izcelsmes Datu Glabāšanai Un Piekļuvei Mobilos Komunikāciju Tīklos

2013 ◽  
Vol 50 (5) ◽  
pp. 20-28
Author(s):  
M. Kurmis ◽  
D. Dzemydiene ◽  
R. Didziokas ◽  
J. Trokss
Keyword(s):  
Cloud Computing ◽  
Modeling And Simulation ◽  
Communication Networks ◽  
Data Storage ◽  
Mobile Communication ◽  
Storage And Retrieval ◽  
Computing Model ◽  
Computing Paradigm ◽  
Mobile Communication Networks ◽  
Space Data

Abstract Storage and retrieval of space signals require an advanced set of core technologies that can be implemented with a cloud computing paradigm. In this work we propose a cloud computing solution for the distributed space data storage and access in mobile communication networks. The modeling and simulation results show that the proposed solution performs satisfactorily in the space data processing. In the future, experimental verification of the cloud computing model and its implementation are envisaged.

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