Federated Persistent Data Repository Approach for FIBRE multi-CMF Testbed

Federated Persistent Data Repository Approach for FIBRE multi-CMF Testbed: A Network for Experimentation (NfExp) is typically a regional, national, or specialized international testbed like GENI, PlanetLab, and OFELIA that are developed to support the experimentation of new protocols, services and applications mostly in the context of Future Internet (FI). In effect, a Network for Experimentation allows an experimenter to configure, instantiate, run, and collect measurements of distributed experiments on top of a real testbed managed by a Control and Monitoring Framework (CMF). Currently available CMFs developments are directly or indirectly service-oriented architectures focused, as an example, on wired or wireless networks research domains. A new approach for the Network for Experimentation considered in this paper is the FIBRE multi-CMF testbed. In FIBRE, various existing CMFs are integrated to achieve a broader set of supported applications and service domains. Among the technical challenges involved in the multi-CMF approach, this paper describes the approach adopted for the persistent data repository necessary to store the monitored and collected experimental data.  An iRODS-based federated monitoring persistent data repository proposal is presented for the FIBRE multi-CMF testbed. The solution adopts a standardized monitoring data format and representation whenever possible. It is a transparent data storage facility among multiple native DBMS, with persistent monitoring data access and retrieval, and a high-level monitoring data integration.

Network Self-Management Pseudo-Predictability based on Case-Based Reasoning

Network Self-Management Pseudo-Predictability based on Case-Based Reasoning: Network self-management, among other objectives, looks for solutions (systems, frameworks and/or strategies) in which the human intervention is drastically reduced in the analysis and planning of new network states, which in turn, is based on a set of SLAs (Service Level Agreement) definitions and traffic profile. The self-management system/framework has to find a solution meeting SLA and traffic requirements within a reasonable computational time (execution time) in order to achieve a near real time operation. In general, it is necessary to adopt approaches based on reasoning and learning in self-management systems in order to avoid and/or reduce human intervention [1]. As such, self-management systems/frameworks do require the storage of network states. In this context, it is important to identify critical states and, if possible, to predict when they will occur in order to facilitate the self-management process. In this paper, a proposal for pseudo-predictability based on Case-Based Reasoning (CBR) is presented. The pseudo-predictability CBR method considers previous network states to infer future network state scenario. It was developed for the self-management framework defined in [2] and, in general, further promotes the scalability of self-managed systems.

An Instrumentation and Measurement Architecture Supporting Multiple Control Monitoring Frameworks

An Instrumentation and Measurement Architecture Supporting Multiple Control Monitoring Frameworks

A (R)evolução das Redes sem Fio

A (R)evolução das Redes sem Fio: A evolução e implícita revolução causada pela utilização das redes sem fio é discutida através de uma apresentação de suas tecnologias mais relevantes e seus domínios de aplicação atuais e futuros.