1,754,115 research outputs found

    Numero Speciale di Future Generation Computer Systems su Cloud management

    No full text
    Future Generation Computer Systems tratta sistemi distirbuiti ad elevato parallelismo, dai sisitemi distribuiti a quelli mobili al Cloud e Gri

    Machine Learning for Computer Systems and Networking: A Survey

    Full text link
    Machine learning has become the de-facto approach for various scientific domains such as computer vision and natural language processing. Despite recent breakthroughs, machine learning has only made its way into the fundamental challenges in computer systems and networking recently. This paper attempts to shed light on recent literature that appeals for machine learning based solutions to traditional problems in computer systems and networking. To this end, we first introduce a taxonomy based on a set of major research problem domains. Then, we present a comprehensive review per domain, where we compare the traditional approaches against the machine learning based ones. Finally, we discuss the general limitations of machine learning for computer systems and networking, including lack of training data, training overhead, real-time performance, and explainability, and reveal future research directions targeting these limitations

    Future Computer Systems and Networking Research in the Netherlands: A Manifesto

    Full text link
    Our modern society and competitive economy depend on a strong digital foundation and, in turn, on sustained research and innovation in computer systems and networks (CompSys). With this manifesto, we draw attention to CompSys as a vital part of ICT. Among ICT technologies, CompSys covers all the hardware and all the operational software layers that enable applications; only application-specific details, and often only application-specific algorithms, are not part of CompSys. Each of the Top Sectors of the Dutch Economy, each route in the National Research Agenda, and each of the UN Sustainable Development Goals pose challenges that cannot be addressed without groundbreaking CompSys advances. Looking at the 2030-2035 horizon, important new applications will emerge only when enabled by CompSys developments. Triggered by the COVID-19 pandemic, millions moved abruptly online, raising infrastructure scalability and data sovereignty issues; but governments processing social data and responsible social networks still require a paradigm shift in data sovereignty and sharing. AI already requires massive computer systems which can cost millions per training task, but the current technology leaves an unsustainable energy footprint including large carbon emissions. Computational sciences such as bioinformatics, and "Humanities for all" and "citizen data science", cannot become affordable and efficient until computer systems take a generational leap. Similarly, the emerging quantum internet depends on (traditional) CompSys to bootstrap operation for the foreseeable future. Large commercial sectors, including finance and manufacturing, require specialized computing and networking or risk becoming uncompetitive. And, at the core of Dutch innovation, promising technology hubs, deltas, ports, and smart cities, could see their promise stagger due to critical dependency on non-European technology.Comment: Position paper: 7 foundational research themes in computer science and networking research, 4 advances with outstanding impact on society, 10 recommendations, 50 pages. Co-signatories from (alphabetical order): ASTRON, CWI, Gaia-X NL, NIKHEF, RU Groningen, SIDN Labs, Solvinity, SURF, TNO, TU/e, TU Delft, UvA, U. Leiden, U. Twente, VU Amsterda

    Massivizing computer systems: A vision to understand, design, and engineer computer ecosystems through and beyond modern distributed systems

    No full text
    Our society is digital: industry, science, governance, and individuals depend, often transparently, on the inter-operation of large numbers of distributed computer systems. Although the society takes them almost for granted, these computer ecosystems are not available for all, may not be affordable for long, and raise numerous other research challenges. Inspired by these challenges and by our experience with distributed computer systems, we envision Massivizing Computer Systems, a domain of computer science focusing on understanding, controlling, and evolving successfully such ecosystems. Beyond establishing and growing a body of knowledge about computer ecosystems and their constituent systems, the community in this domain should also aim to educate many about design and engineering for this domain, and all people about its principles. This is a call to the entire community: there is much to discover and achieve

    Symposium on Staffing Issues and Public-Access Computer Systems

    Full text link
    The introduction and proliferation of public-access computer systems has had a significant impact on staffing in libraries. In an attempt to address staffing issues, The Public-Access Computer Systems Review asked a panel prominent commentators to respond to five questions. The comments of the symposium participants form a detailed assessment of the current issues and provide a diverse set of approaches and recommendations

    International Seminar on Software Engineering Computer Systems 2011

    Full text link
    Faculty of Computer Systems & Soft ware Engineering (FSKKP) Universiti Malaysia Pahang (UMP) in collaboration with the Information Society Digital and Wireless Communications (SDIWC) had organized the International Seminar on Software Engineering Computer Systems 2011 (ICSECS'ʹ11) at UMP Gambang. This is the second seminar, themed "ʺFostering the rapid innovation in ICT"ʺ is the best platform for researchers to present research findings and share experiences on the application, discovery and new technology involves the field of software engineering and computer science”

    Dynamic resource allocation scheme for distributed heterogeneous computer systems

    Full text link
    This invention relates to a resource allocation in computer systems, and more particularly, to a method and associated apparatus for shortening response time and improving efficiency of a heterogeneous distributed networked computer system by reallocating the jobs queued up for busy nodes to idle, or less-busy nodes. In accordance with the algorithm (SIDA for short), the load-sharing is initiated by the server device in a manner such that extra overhead in not imposed on the system during heavily-loaded conditions. The algorithm employed in the present invention uses a dual-mode, server-initiated approach. Jobs are transferred from heavily burdened nodes (i.e., over a high threshold limit) to low burdened nodes at the initiation of the receiving node when: (1) a job finishes at a node which is burdened below a pre-established threshold level, or (2) a node is idle for a period of time as established by a wakeup timer at the node. The invention uses a combination of the local queue length and the local service rate ratio at each node as the workload indicator
    corecore