1,798 research outputs found

    Technical support for Life Sciences communities on a production grid infrastructure

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    Production operation of large distributed computing infrastructures (DCI) still requires a lot of human intervention to reach acceptable quality of service. This may be achievable for scientific communities with solid IT support, but it remains a show-stopper for others. Some application execution environments are used to hide runtime technical issues from end users. But they mostly aim at fault-tolerance rather than incident resolution, and their operation still requires substantial manpower. A longer-term support activity is thus needed to ensure sustained quality of service for Virtual Organisations (VO). This paper describes how the biomed VO has addressed this challenge by setting up a technical support team. Its organisation, tooling, daily tasks, and procedures are described. Results are shown in terms of resource usage by end users, amount of reported incidents, and developed software tools. Based on our experience, we suggest ways to measure the impact of the technical support, perspectives to decrease its human cost and make it more community-specific.Comment: HealthGrid'12, Amsterdam : Netherlands (2012

    Preparing Distributed Computing Operations for the HL-LHC Era With Operational Intelligence

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    open26siAs a joint effort from various communities involved in the Worldwide LHC Computing Grid, the Operational Intelligence project aims at increasing the level of automation in computing operations and reducing human interventions. The distributed computing systems currently deployed by the LHC experiments have proven to be mature and capable of meeting the experimental goals, by allowing timely delivery of scientific results. However, a substantial number of interventions from software developers, shifters, and operational teams is needed to efficiently manage such heterogenous infrastructures. Under the scope of the Operational Intelligence project, experts from several areas have gathered to propose and work on “smart” solutions. Machine learning, data mining, log analysis, and anomaly detection are only some of the tools we have evaluated for our use cases. In this community study contribution, we report on the development of a suite of operational intelligence services to cover various use cases: workload management, data management, and site operations.openDi Girolamo A.; Legger F.; Paparrigopoulos P.; Schovancova J.; Beermann T.; Boehler M.; Bonacorsi D.; Clissa L.; Decker de Sousa L.; Diotalevi T.; Giommi L.; Grigorieva M.; Giordano D.; Hohn D.; Javurek T.; Jezequel S.; Kuznetsov V.; Lassnig M.; Mageirakos V.; Olocco M.; Padolski S.; Paltenghi M.; Rinaldi L.; Sharma M.; Tisbeni S.R.; Tuckus N.Di Girolamo A.; Legger F.; Paparrigopoulos P.; Schovancova J.; Beermann T.; Boehler M.; Bonacorsi D.; Clissa L.; Decker de Sousa L.; Diotalevi T.; Giommi L.; Grigorieva M.; Giordano D.; Hohn D.; Javurek T.; Jezequel S.; Kuznetsov V.; Lassnig M.; Mageirakos V.; Olocco M.; Padolski S.; Paltenghi M.; Rinaldi L.; Sharma M.; Tisbeni S.R.; Tuckus N

    Cargo launch vehicles to low earth orbit

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    There are two primary space transportation capabilities required to support both base programs and expanded mission requirements: earth-to-orbit (ETO) transportation systems and space transfer vehicle systems. Existing and new ETO vehicles required to support mission requirements, and planned robotic missions, along with currently planned ETO vehicles are provided. Lunar outposts, Mars' outposts, base and expanded model, ETO vehicles, advanced avionics technologies, expert systems, network architecture and operations systems, and technology transfer are discussed

    July-September 2009

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    Integrated Online Media Management Systems For Media Centers: A Model For Selection And Effective Use

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    The researcher proposed to advice in the selection of an Integrated Online Library System (IOLS) for use in the 103 school media centers in the Palm Beach County Schools, Florida. This was accomplished by evaluating the two finalists of those vendors who answered the district\u27s Request for Proposal (RFP). Of the five vendors who responded to the RFP. CLSI and SIRSI were selected as the systems most likely to meet the needs of the media centers of the school district. An overview and definition of IOLS was first discussed. This overview then related itself to the needs of the school district as presented in the RFP. A selection criteria was then designed from previous research on the subject to help find the ideal system. The history and development of an Integrated Online Library System was important in seeing where the systems have originated in contrast to the systems in the Eighties to the also revealed the present time. Literature IOLS principles of operation. The Request for Proposal reflected the needs assessment discussed over several years of committee meetings of representatives from various schools. The committees explored IOLS automated options and compared these options. The RFP outlined the system requirements. Thoughts on staff attitudes while planning for a system were also considered. Each system was evaluated with the criteria outlined in the RFP. The background and capabilities of both systems were explored. This exploration took place where by the benchmark tests, on-site demonstrations systems were in use daily, conferences with the vendors, systems. And reading literature reviews on both systems. Evaluation guidelines and criteria were found in library resources. The functions required for terminal access requirements, process for data conversion, vendor background and reliability, contained in these library resources. And the cost were contained in these library resources. The results of this study culminated in the official recommendation of the SIRSI to be purchased by the district\u27s school board. It was the expectation of the author of this document to see the purchase of the recommended system by the school board and have it implemented in all the schools in the district within a three year period following the submission of the recommendation

    July-December 2002

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