Computing and Information Systems - Research Publications

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Start date: 2010 × End date: 2019 × Subject: Distributed Computing ×

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Now showing 1 - 6 of 6
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    Sensor web: Integration of sensor networks with web and cyber infrastructure
    Kobialka, T ; Buyya, R ; Deng, P ; Kulik, L ; Palaniswami, M (IGI Global, 2010-12-01)
    As sensor network deployments grow and mature there emerge a common set of operations and transformations. These can be grouped into a conceptual framework called Sensor Web. Sensor Web combines cyber infrastructure with a Service Oriented Architecture (SOA) and sensor networks to provide access to heterogeneous sensor resources in a deployment independent manner. In this chapter we present the Open Sensor Web Architecture (OSWA), a platform independent middleware for developing sensor applications. OSWA is built upon a uniform set of operations and standard data representations as defined in the Sensor Web Enablement Method (SWE) by the Open Geospatial Consortium (OGC). OSWA uses open source and grid technologies to meet the challenging needs of collecting and analyzing observational data and making it accessible for aggregation, archiving and decision making.
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    Energy-efficient management of data center resources for cloud computing: A vision, architectural elements, and open channels
    Buyya, RB ; BELOGLAZOV, A ; Abawajy, J (World Academy of Science, Engineering and Technology, 2010)
    Cloud computing is offering utility-oriented IT services to users worldwide. Based on a pay-as-you-go model, it enables hosting of pervasive applications from consumer, scientific, and business domains. However, data centers hosting Cloud applications consume huge amounts of energy, contributing to high operational costs and carbon footprints to the environment. Therefore, we need Green Cloud computing solutions that can not only save energy for the environment but also reduce operational costs. This paper presents vision, challenges, and architectural elements for energy-efficient management of Cloud computing environments. We focus on the development of dynamic resource provisioning and allocation algorithms that consider the synergy between various data center infrastructures (i.e., the hardware, power units, cooling and software), and holistically work to boost data center energy efficiency and performance. In particular, this paper proposes (a) architectural principles for energy-efficient management of Clouds; (b) energy-efficient resource allocation policies and scheduling algorithms considering quality-of-service expectations, and devices power usage characteristics; and (c) a novel software technology for energy-efficient management of Clouds. We have validated our approach by conducting a set of rigorous performance evaluation study using the CloudSim toolkit. The results demonstrate that Cloud computing model has immense potential as it offers significant performance gains as regards to response time and cost saving under dynamic workload scenarios.
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    Lock-free parallel dynamic programming
    Stivala, A ; Stuckey, PJ ; Garcia de la Banda, M ; Hermenegildo, M ; Wirth, A (ACADEMIC PRESS INC ELSEVIER SCIENCE, 2010-08)
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    Layered Approach Using Conditional Random Fields for Intrusion Detection
    Gupta, KK ; Nath, B ; Kotagiri, R (IEEE COMPUTER SOC, 2010-01-01)