Search for dissertations about: "Performance management systems"

Showing result 1 - 5 of 730 swedish dissertations containing the words Performance management systems.

  1. 1. Runtime Management of Multiprocessor Systems for Fault Tolerance, Energy Efficiency and Load Balancing

    Author : Stavros Tzilis; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Fault Tolerance; Algorithms; Runtime Management; Multiprocessors; Performance; Adaptive Systems; Load Balancing; Energy Efficiency;

    Abstract : Efficiency of modern multiprocessor systems is hurt by unpredictable events: aging causes permanent faults that disable components; application spawnings and terminations taking place at arbitrary times, affect energy proportionality, causing energy waste; load imbalances reduce resource utilization, penalizing performance. This thesis demonstrates how runtime management can mitigate the negative effects of unpredictable events, making decisions guided by a combination of static information known in advance and parameters that only become known at runtime. READ MORE

  2. 2. Construction Performance Measurement: Site Managers in Refurbishment Projects

    Author : Ahmet Anil Sezer; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; productivity; refurbishment; waste management; construction industry; monitoring; sustainability; Performance; ICT; resource use;

    Abstract : Firms use management accounting, controls and performance measurement to ensure that employee activities are aligned with organizational goals and strategies. Performance is measured at different levels: industry, firm, project and activity. READ MORE

  3. 3. Resource Management in Computing Systems

    Author : Payam Amani; Bredbandskommunikation; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Abstract : Resource management is an essential building block of any modern computer and communication network. In this thesis, the results of our research in the following two tracks are summarized in four papers. The first track includes three papers and covers modeling, prediction and control for multi-tier computing systems. READ MORE

  4. 4. Systems Modeling Approaches to Physical Resource Management : An Industrial Ecology Perspective

    Author : Rajib Sinha; Björn Frostell; Maria Malmström; Miguel Brandao; Mujibur Rahman; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Complex systems modeling; environmental accounting and monitoring; en- vironmental footprint; industrial ecology; pressure-based driver-oriented approach; Modellering av komplexa system; miljöräkenskaper och miljöövervakning; miljöpåverkan; industriell ekologi; flödesbaserad övervakningaktörsorienterad strategi; Industrial Ecology; Industriell ekologi;

    Abstract : Many of the present problems that we are facing arise as unanticipated side-effects of our own actions. Moreover, the solutions implemented to solve important problems often create new problems. To avoid unintended consequences, understanding complex systems is essential in devising policy instruments and in improving environmental management. READ MORE

  5. 5. Performance anomaly detection and resolution for autonomous clouds

    Author : Olumuyiwa Ibidunmoye; Erik Elmroth; Ewnetu Bayuh Lakew; Rolf Stadler; Umeå universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cloud Computing; Distributed Systems; Performance Management; Anomaly Detection; Quality of Service; Performance Analytics; Machine Learning; Computer Systems; datorteknik; business data processing; administrativ databehandling; Computer Science; datalogi;

    Abstract : Fundamental properties of cloud computing such as resource sharing and on-demand self-servicing is driving a growing adoption of the cloud for hosting both legacy and new application services. A consequence of this growth is that the increasing scale and complexity of the underlying cloud infrastructure as well as the fluctuating service workloads is inducing performance incidents at a higher frequency than ever before with far-reaching impact on revenue, reliability, and reputation. READ MORE