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Abstract-In formal education, a majority of e-learning courses is still conducted in a learning management system (LMS). Teachers and authors of educational resources can make use of context-aware recommender systems, which would recommend relevant learning objects to be included in the course. Context data can be obtained, among other sources, from an existing learning environment. This paper describes a two-phase survey of four LMSs -Chamilo, Claroline, Ilias and Moodle -and their characteristics suitable for creating an LMS part of a context model, which would be relevant to implement in recommender systems for this purpose. A sample set of use cases is given, which describes how teachers and content authors could use the system. Based on the survey results, a set of context model dimensions is proposed.

Abstract.Cloud computing promises efficient use of hardware resources through virtualization and elastic computing facilities. Various cloud computing solutions have emerged on the market from open-source communities and commercial vendors. In this paper we discuss criteria for feature comparison of private cloud platforms and compare several open-source and commercial products. We test performance of hypervisors used in these clouds with a set of benchmark suites containing tests for various aspects of the system. We discuss the results in the context of what is commonly described as a scientific workload. The described feature and performance differences can help make wiser platform choices.

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