A Java-based secure platform for distributed computation

• Autorzy: Glebov A.
• Języki publikacji: EN

Abstrakty

EN

We present a platform for distributed computation that employs Java RMI as the underlying communication technology, making use of its remote class-loading features. The platform permits dynamic connection of executor nodes and guarantees that executors are properly released. Security is reinforced by authentication based on X.509 certifi cates and SSL encryption. We show that the overhead associated with authentication and encryption is negligible in practically important cases.

Słowa kluczowe

EN

distributed computations; Java RMI; remote method invocation security; authentication and encryption overhead.

• Wydawca: Foundation for Young Scientists
• Czasopismo: Challenges of Modern Technology
• Rocznik: 2010
• Tom: Vol. 1, no. 1
• Strony: 76--78
• Opis fizyczny: Bibliogr. 7 poz., wykr.

Twórcy

autor

Glebov A.

• Belarusian State University

Bibliografia

• [1] Galileo — A Distributed Genetic Algorithm. [Electronic resource]. Mode of access: http://sourceforge.net/projects/galileo/.
• [2] GAUL — Th e Genetic Algorithm Utility Library. [Electronic resource]. Mode of access: http://gaul.sourceforge.net/.
• [3] JGAP — Java Genetic Algorithms Package. [Electronic resource]. Mode of access: http://jgap.sourceforge.net/.
• [4] ECJ — A Java-based Evolutionary Computation Research System. [Electronic resource]. Mode of access: http://cs.gmu.edu/~eclab/projects/ecj/.
• [5] Maciura, Lukasz, and Galina Setlak. “Distributed genetic algorithm implementation by means of remote method invocation technique — Java RMI”. International book series Information Science and Computing. Vol. 2: Advanced Research in Artifi cial Intelligence (2008): 75–81.
• [6] Escuela, Gabi, Yudith Cardinale, and Jorge González. “A Java-based distributed genetic algorithm framework”. Proc. of the 19th IEEE International Conference on Tools with Artifi cial Intelligence 1 (2007): 437–441.
• [7] Strykeleu, Dzmitry. “Implementation of parallel genetic algorithms with a composite objective function based on Java RMI technology and JGAP library”. Informatics 3 (2008): 133–142.