The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.05 - Sept.-Oct. (2013 vol.17)
pp: 54-61
Reginald Cushing , University of Amsterdam
Ganeshwara Herawan Hananda Putra , University of Amsterdam
Spiros Koulouzis , University of Amsterdam
Adam Belloum , University of Amsterdam
Marian Bubak , University of Amsterdam
Cees de Laat , University of Amsterdam
ABSTRACT
In this article, the authors propose a new approach to distributed computing with Web browsers and introduce the WeevilScout prototype framework. The proliferation of Web browsers and the performance gains being achieved by current JavaScript virtual machines raises the question whether Internet browsers can become yet another middleware for distributed computing. With 2 billion users online, computing through Internet browsers has the potential to amass immense resources, thus transforming the Internet into a distributed computer ideal for common classes of distributed scientific applications such as parametric studies. As a proof of concept, the authors demonstrate how a cluster of globally distributed Internet browsers is used to compute thousands of bio-informatics tasks.
INDEX TERMS
Browsers, Internet, Java, Reactive power, Distributed processing,volunteer computing, JavaScript, distributed computing, browser computing
CITATION
Reginald Cushing, Ganeshwara Herawan Hananda Putra, Spiros Koulouzis, Adam Belloum, Marian Bubak, Cees de Laat, "Distributed Computing on an Ensemble of Browsers", IEEE Internet Computing, vol.17, no. 5, pp. 54-61, Sept.-Oct. 2013, doi:10.1109/MIC.2013.3
REFERENCES
1. C. Sansom, “The DNA Deluge,” Scientific Computing World, Aug/Sept. 2007; www.scientific-computing.com/features/feature.php?feature_id=168.
2. P.C. Zikopoulos, Harness the Power of Big Data: The IBM Big Data Platform, McGraw-Hill, 2012.
3. K. Millikin and F. Schneider, “A New Crankshaft for V8,” The Chromium Blog, 7 Dec. 2010; http://blog.chromium.org/2010/12/new-crankshaft-for-v8.html.
4. S. Koulouzis et al., “Enabling Web Services to Consume and Produce Large Datasets,” IEEE Internet Computing, vol. 16, no. 1, 2012, pp. 52-60.
5. S. Tilkov and S. Vinoski, “Node.js: Using JavaScript to Build High-Performance Network Programs,” IEEE Internet Computing, vol. 14, no. 6, 2010, pp. 80-83.
6. L. Barabási et al., “Parasitic Computing,” Nature, vol. 412, Aug. 2001, pp. 894-897.
67 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool