BOINC: A System for Public-Resource Computing and Storage
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Multilingual Plagiarism Detection
AIMSA '08 Proceedings of the 13th international conference on Artificial Intelligence: Methodology, Systems, and Applications
Towards Making BOINC and EGEE Interoperable
ESCIENCE '08 Proceedings of the 2008 Fourth IEEE International Conference on eScience
Language Identification on the Web: Extending the Dictionary Method
CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
GenWrapper: A generic wrapper for running legacy applications on desktop grids
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
PDP '11 Proceedings of the 2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing
On the Scheduling of Checkpoints in Desktop Grids
CCGRID '11 Proceedings of the 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
Long-term availability prediction for groups of volunteer resources
Journal of Parallel and Distributed Computing
Scientific Workflow Makespan Reduction through Cloud Augmented Desktop Grids
CLOUDCOM '11 Proceedings of the 2011 IEEE Third International Conference on Cloud Computing Technology and Science
Modeling machine availability in enterprise and wide-area distributed computing environments
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
SpeQuloS: a QoS service for BoT applications using best effort distributed computing infrastructures
Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing
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Translated or cross-lingual plagiarism is defined as the translation of someone else's work or words without marking it as such or without giving credit to the original author. The existence of cross-lingual plagiarism is not new, but only in recent years, due to the rapid development of the natural language processing, appeared the first algorithms which tackled the difficult task of detecting it. Most of these algorithms utilize machine translation to compare texts written in different languages. We propose a different method, which can effectively detect translations between language-pairs where machine translations still produce low quality results. Our new algorithm presented in this paper is based on information retrieval (IR) and a dictionary based similarity metric. The preprocessing of the candidate documents for the IR is computationally intensive, but easily parallelizable. We propose a desktop Grid solution for this task. As the application is time sensitive and the desktop Grid peers are unreliable, a resubmission mechanism is used which assures that all jobs of a batch finish within a reasonable time period without dramatically increasing the load on the whole system.