Péter Pallinger

Job Scheduling with License Reservation: A Semantic Approach

The license management is one of the main concerns when Independent Software Vendors (ISV) try to distribute their software in computing platforms such as Clouds. They want to be sure that customers use their software according to their license terms. The work presented in this paper tries to solve part of this problem extending a semantic resource allocation approach for supporting the scheduling of job taking into account software licenses. This approach defines the licenses as another type of computational resource which is available in the system and must be allocated to the different jobs requested by the users. License terms are modeled as resource properties, which describe the license constraints. A resource ontology has been extended in order to model the relations between customers, providers, jobs, resources and licenses in detail and make them machine processable. The license scheduling has been introduced in a semantic resource allocation process by providing a set of rules, which evaluate the semantic license terms during the job scheduling.

Scaling a Plagiarism Search Service on the BonFIRE Testbed

The KOPI Online Plagiarism Search Portal - a nationwide plagiarism service in Hungary - is a unique, open service for web users that enables them to check for identical or similar contents between their own documents and the files uploaded by other authors. As our recent result, we can also detect cross-language plagiarism, but with a highly increased computational demand. The paper describes our experiment with the BonFIRE testbed to find a suitable scaling mechanism for translational plagiarism detection in a cloud federation.