Virtual Data System on distributed virtual machines in computational grids

Authors:
Lizhe Wang;Gregor Von Laszewski;Jie Tao;Marcel Kunze
Affiliations:
Pervasive Technology Institute, Indiana University, 2719 E., 10th St., Bloomington, IN 47408, USA.;Pervasive Technology Institute, Indiana University, 2719 E., 10th St., Bloomington, IN 47408, USA.;Steinbuch Center for Computing, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.;Steinbuch Center for Computing, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
Venue:
International Journal of Ad Hoc and Ubiquitous Computing
Year:
2010

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Abstract

This paper presents the work of building a Grid workflow system on distributed virtual machines. A Grid Virtualisation Engine (GVE) is implemented to manage virtual machines as computing resources for Grid applications. The Virtual Data System (VDS) functions as a Grid workflow engine. This paper designs and implements the VDS on distributed virtual machines, which are enabled by the GVE. Various interfaces between GVE and VDS have been defined and implemented. A high-energy physics application, the Compact Muon Solenoid (CMS) benchmark, is tested on a test bed equipped with the developed technologies. System discussion, test results and performance evaluation justify the paradigm of building VDS on distributed virtual machines and the prototype of our design and implementation.