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An optical network, like any system, has to be observable before it can become subject to optimization, and this is the main capability that ORCHESTRA project introduces. ORCHESTRA's high observability will rely on information provided by the coherent transceivers that can be extended, almost for free, to operate as software defined optical performance monitors (soft-OPM). Novel digital signal processing (DSP) OPM algorithms will be developed and combined with a novel hierarchical monitoring plane, cross-layer optimization algorithms and active-control functionalities. ORCHESTRA vision is to close the control loop, enabling true network dynamicity and unprecedented network capacity efficiency

The millions of tweets submitted daily overwhelm users who find it difficult to identify content of interest revealing the need for event detection algorithms in Twitter. Such algorithms are proposed in this paper covering both short (identifying what is currently happening) and long term periods (reviewing the most salient recently submitted events). For both scenarios, we propose fuzzy represented and timely evolved tweet-based theoretic information metrics to model Twitter dynamics. The Riemannian distance is also exploited with respect to words' signatures to minimize temporal effects due to submission delays. Events are detected through a multiassignment graph partitioning algorithm that: 1) optimally retains maximum coherence within a cluster and 2) while allowing a word to belong to several clusters (events). Experimental results on real-life data demonstrate that our approach outperforms other methods.

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SUMMARYThe management of the corporate information technology (IT) environment is rapidly increasing in complexity as server logic architecture becomes more distributed and the number of entities deployed increases, forcing enterprises to resort to thick, complex and expensive high-end integrated systems and network management solutions. Investing in such systems can be ineffi cient for small and medium corporations, since the vast majority of management tasks performed are routine tasks, while personnel specialization requirements and costs are high. At the same time, the open source community has not yet produced a reliable and complete system and network management solution. Even though there are open source initiatives specializing in specifi c fi elds of remote management, such as network management, there has been no integrated open source solution yet. This paper introduces the Open Source Remote Systems Management (OpenRSM) platform. OpenRSM is an integrated remote management system created by integrating individual specialized open source management initiatives and signifi cantly augmenting them to support additional functionality, so that a complete lightweight system and network management solution is produced. The system implemented facilitates daily management by providing an effi cient, simple and adaptable environment for the majority of management operations.