Web based computing environment for prediction of approximate seismic response parameters of structures

Author(s):  
R Klinc ◽  
I Peru_ ◽  
M Dol_ek ◽  
M Dolenc
2008 ◽  
Vol 123 (5) ◽  
pp. 3373-3373
Author(s):  
Valery Polyakov ◽  
Henri‐Pierre Valero ◽  
Dzevat Omeragic ◽  
Raymond L. Kocian ◽  
Tarek M. Habashy ◽  
...  

2011 ◽  
Vol 1 (1) ◽  
pp. 6
Author(s):  
Muhammad Kashif Shaikh ◽  
Muzammil Ahmad Khan ◽  
Mumtaz -ul- Imam

High availability cluster computing environment attempts to provide high availability to computing services. This paper evaluates building and investigating a highly available computing environment that provides a solution to achieve high availability. A prototype of cluster computing environment is developed in Linux environment to provide a single but highly available point of entry. The cluster of computers run web based application to provide services to HTTP users.


Author(s):  
Chan Yu ◽  
Nan Liu ◽  
Kishore Pochiraju ◽  
Souran Manoochehri ◽  
K. H. Ko

This paper discusses the detailed design and development of a web based parallel multi-disciplinary optimization (PMDO) framework in the distributed computing environment. This system consists of the HTTP server, the XML parser and the communication module based on TCP/IP, and is built around a computational kernel called the ACES kernel, which provides powerful computation and evaluation capabilities as well as optimization routines specifically designed for engineering purposes. We formulate and subdivide an optimization problem into several sub-problems such that one node is designated as a master which solves the overall problem and the others are distributed to client nodes each of which handles each independent sub-optimization problem. In the iteration to solve the overall optimization problem, the master forwards necessary data to each client for updated values which are the solutions of sub-optimization problems and collects the results from all the client nodes. The master continues the iteration until the optimum is reached. All optimization problems are represented in XML form and provided as input to the master and each client node.


Author(s):  
Nathan Wong ◽  
Kevin Gucwa ◽  
Harry H. Cheng

An interactive, web-based C/C++ computing environment has been developed to facilitate programming education. An editor with syntax highlighting is provided for students to solve the educational lessons designed to introduce computer programming concepts. The system uses SafeCh, a secure C/C++ interpreter that sandboxes the user to protect against server access, to execute code written by the user. Node.js, a JavaScript framework, is used to interface with SafeCh to redirect user input and output data from client to server and vice versa, creating an interactive programming environment. Users are able to access the learning environment conveniently using any internet-enabled device, including mobile phones and tablets. Most other web-based interactive programming tutorials teach scripting languages such as Python or JavaScript. The few existing web tutorials for C/C++ use server-side compilation and thus lack the same interactivity as is available with this system. Given the increasing popularity of programming education events such as Hour of Code, this web-based computing system can be a simple, interactive method to introduce and teach C/C++.


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