The Raincore API for clusters of networking elements

Clustering technology offers a way to increase overall reliability and performance of Internet information flow by strengthening one link in the chain without adding others. We have implemented this technology in a distributed computing architecture for network elements. The architecture, called Raincore, originated in the Reliable Array of Independent Nodes, or RAIN, research collaboration between the California Institute of Technology and the US National Aeronautics and Space Agency's Jet Propulsion Laboratory. The RAIN project focused on developing high-performance, fault-tolerant, portable clustering technology for spaceborne computing . The technology that emerged from this project became the basis for a spinoff company, Rainfinity, which has the exclusive intellectual property rights to the RAIN technology. The authors describe the Raincore conceptual architecture and distributed services, which are designed to make it easy for developers to port their applications to run on top of a cluster of networking elements. We include two applications: a Web server prototype that was part of the original RAIN research project and a commercial firewall cluster product from Rainfinity

Unsupervised spectral sub-feature learning for hyperspectral image classification

Spectral pixel classification is one of the principal techniques used in hyperspectral image (HSI) analysis. In this article, we propose an unsupervised feature learning method for classification of hyperspectral images. The proposed method learns a dictionary of sub-feature basis representations from the spectral domain, which allows effective use of the correlated spectral data. The learned dictionary is then used in encoding convolutional samples from the hyperspectral input pixels to an expanded but sparse feature space. Expanded hyperspectral feature representations enable linear separation between object classes present in an image. To evaluate the proposed method, we performed experiments on several commonly used HSI data sets acquired at different locations and by different sensors. Our experimental results show that the proposed method outperforms other pixel-wise classification methods that make use of unsupervised feature extraction approaches. Additionally, even though our approach does not use any prior knowledge, or labelled training data to learn features, it yields either advantageous, or comparable, results in terms of classification accuracy with respect to recent semi-supervised methods

Automatização de administração e segurança em redes Windows NT

Orientadores: Paulo Licio de Geus, Celio Cardoso GuimarãesDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de ComputaçãoResumo: A administração, a manutenção da segurança e o gerenciamento de grandes redes de computadores baseados em Windows NT são tarefas desafiadoras e trabalhosas. Algumas tarefas podem se tornar extremamente laboriosas para os administradores dessas redes, como por exemplo: instalação remota de programas, auditoria e modificação de uma configuração de segurança remota ou melhorar o desempenho de cada máquina. Este trabalho tem como objetivo desenvolver técnicas para automatizar as tarefas de administração de redes Windows NT, tornando-as menos complexas. Além disso, este trabalho apresenta e descreve DoIt4Me ("do it for me"), uma ferramenta de gerenciamento remoto capaz de melhorar a segurança, a administração e o desempenho de cada máquina dessas redesAbstract: The administration, the maintenance of the security and the management of large Windows NT networks are challenging tasks. Some tasks can be extremely laborious, such as: software remote install action, auditing and updating the security configurations or to improve the performance of each network machine. The goal of this work is to develop techniques to automate network administra tive tasks, turning them less complexo Besides that, this work presents DoIt4Me ("do it for me"), a network management tool to improve the security, the administration and the performance of each network machineMestradoMestre em Ciência da Computaçã

Open source in libraries: Implementation of an open source ILMS at Asia e-University library

Open source systems for libraries have improved significantly to gain the confidence of librarians. The main focus of the paper is to describe the selection process and criteria that led to the implementation of Koha the first open source Integrated Library Management System at the AeU Library. A study was made based on the set criteria used to compare and contrast with the more popular propriety library management systems. The paper presents the findings of the study which led to the selection of Koha, and a brief introduction to features of open source systems for libraries. The reasoning and conditions for accepting Koha are discussed. A brief account of the implementation process and related experience of the open source ILMS are given. AeU library implemented the various modules of the system: cataloging, online public access (OPAC), circulation, patron management and acquisitions. The expanding influence and acceptance of OSS in libraries is here to stay. Malaysian libraries may need to look into the credible options and benefits of utilizing open source systems and harness this development in ILS

A Taxonomy of Self-configuring Service Discovery Systems

We analyze the fundamental concepts and issues in service discovery. This analysis places service discovery in the context of distributed systems by describing service discovery as a third generation naming system. We also describe the essential architectures and the functionalities in service discovery. We then proceed to show how service discovery fits into a system, by characterizing operational aspects. Subsequently, we describe how existing state of the art performs service discovery, in relation to the operational aspects and functionalities, and identify areas for improvement

Designing SSI clusters with hierarchical checkpointing and single I/O space

Adopting a new hierarchical checkpointing architecture, the authors develop a single I/O address space for building highly available clusters of computers. They propose a systematic approach to achieving a single system image by integrating existing middleware support with the newly developed features.published_or_final_versio

Performance measurement and analysis of PC based cluster server using SET of Architecture and modeling a scalable High performance cluster

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