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The purpose of this study is to develop robust techniques for speaker segmentation and clustering with focus on meetings domain. The techniques examined can however be applied to any other domains such as telephone and broadcast news. Traditional techniques for speaker diarization developed for telephone conversations or broadcast news are based on a single(More)
Cyber-Physical Systems (CPS) are convergence of real physical world and computation world. CPS systems are rapidly becoming an important development strategies with broad application domains. The key requirements for CPS systems are to support multiple applications with many different resources at the same time in timeliness and also ensure energy(More)
Virtual machine (VM) placement is the process of selecting the most suitable server in large cloud data centers to deploy newly-created VMs. Several approaches have been proposed to find a solution to this problem. However, most of the existing solutions only consider a limited number of resource types, thus resulting in unbalanced load or in the(More)
Routing holes in wireless sensor networks (WSN) do occur due to several reasons, including cases caused by natural obstacles or disaster suffered areas. Computing the exact boundary of a hole is possible [5], but can be impractical with large holes. In this paper, we consider the problem of how to approximate a hole by a simplistic shape, covering polygon(More)
Virtual machine consolidation aims at reducing the number of active physical servers in a data center, with the goal to reduce the total power consumption. In this context, most of the existing solutions rely on aggressive virtual machine migration, thus resulting in unnecessary overhead and energy wastage. This article presents a virtual machine(More)
Computing semantic word similarity and relatedness requires access to vast amounts of semantic space for effective analysis. As a consequence, it is time-consuming to extract useful information from a large amount of data on a single workstation. In this paper, we propose a system, called Distributed Semantic Analysis (DSA), that integrates a(More)
Resources used in a cloud data center could be spread across a large number of servers that are not fully utilized. This situation results in significant operational costs which are directly related to the power consumption of active servers. Virtual machine migration enables reducing the number of active servers by consolidating the load on a limited(More)