Distributed virtual computers (DVC): simplifying the development of high performance grid applications

2004 ◽  
Author(s):  
N. Taesombut ◽  
A.A. Chien
Keyword(s):  
High Performance ◽  
Grid Applications

scholarly journals Optimizing Hadoop Performance for Big Data Analytics in Smart Grid

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Mukhtaj Khan ◽  
Zhengwen Huang ◽  
Maozhen Li ◽  
Gareth A. Taylor ◽  
Phillip M. Ashton ◽  
...  
Keyword(s):  
Big Data ◽  
Smart Grid ◽  
Power Systems ◽  
Data Analytics ◽  
High Performance ◽  
Gene Expression Programming ◽  
Big Data Analytics ◽  
Fluctuation Analysis ◽  
Grid Applications ◽  
Hadoop Framework

The rapid deployment of Phasor Measurement Units (PMUs) in power systems globally is leading to Big Data challenges. New high performance computing techniques are now required to process an ever increasing volume of data from PMUs. To that extent the Hadoop framework, an open source implementation of the MapReduce computing model, is gaining momentum for Big Data analytics in smart grid applications. However, Hadoop has over 190 configuration parameters, which can have a significant impact on the performance of the Hadoop framework. This paper presents an Enhanced Parallel Detrended Fluctuation Analysis (EPDFA) algorithm for scalable analytics on massive volumes of PMU data. The novel EPDFA algorithm builds on an enhanced Hadoop platform whose configuration parameters are optimized by Gene Expression Programming. Experimental results show that the EPDFA is 29 times faster than the sequential DFA in processing PMU data and 1.87 times faster than a parallel DFA, which utilizes the default Hadoop configuration settings.

High-Performance Computing for Advanced Smart Grid Applications

Smart Grids ◽  
2017 ◽  
pp. 511-532
Author(s):  
Yousu Chen ◽  
Huang Zhenyu (Henry) ◽  
Yousu Chen ◽  
Zhenyu (Henry) Huang
Keyword(s):  
Smart Grid ◽  
High Performance Computing ◽  
High Performance ◽  
Grid Applications ◽  
Performance Computing

Quality of Service Networking for High Performance Grid Applications

2003 ◽  
Vol 1 (4) ◽  
pp. 329-343 ◽  
Author(s):  
Miguel Rio ◽  
Andrea di Donato ◽  
Frank Saka ◽  
Nicola Pezzi ◽  
Richard Smith ◽  
...  
Keyword(s):  
Quality Of Service ◽  
High Performance ◽  
Grid Applications

scholarly journals Building messaging substrates for Web and Grid applications

2005 ◽  
Vol 363 (1833) ◽  
pp. 1757-1773 ◽  
Author(s):  
Geoffrey Fox ◽  
Shrideep Pallickara ◽  
Marlon Pierce ◽  
Harshawardhan Gadgil
Keyword(s):  
Web Services ◽  
High Performance ◽  
Service Oriented Architecture ◽  
Distributed Applications ◽  
Client Server ◽  
Service Oriented ◽  
Grid Applications ◽  
Core Areas ◽  
Grid Application ◽  
Performance Computing

Grid application frameworks have increasingly aligned themselves with the developments in Web services. Web services are currently the most popular infrastructure based on service-oriented architecture (SOA) paradigm. There are three core areas within the SOA framework: (i) a set of capabilities that are remotely accessible, (ii) communications using messages and (iii) metadata pertaining to the aforementioned capabilities. In this paper, we focus on issues related to the messaging substrate hosting these services; we base these discussions on the NaradaBrokering system. We outline strategies to leverage capabilities available within the substrate without the need to make any changes to the service implementations themselves. We also identify the set of services needed to build Grids of Grids. Finally, we discuss another technology, HPS earch , which facilitates the administration of the substrate and the deployment of applications via a scripting interface. These issues have direct relevance to scientific Grid applications, which need to go beyond remote procedure calls in client-server interactions to support integrated distributed applications that couple databases, high performance computing codes and visualization codes.

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