Sökning: "Big Data workflow"

Visar resultat 11 - 15 av 22 uppsatser innehållade orden Big Data workflow.

  1. 11. Reducera variation vid omställning genom standardiserat arbete

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

    Författare :Victor Häggblom; Alexander Nilsson; [2020]
    Nyckelord :;

    Sammanfattning : Volvo Cars in Skövde aims to reduce their waste in their crankshaft-line where they produce two types of crankshafts, type 2, and type 7. The intention with this work is to schedule the total changeover of the production line to identify potential actions that could reduce the changeover time and its variation. LÄS MER

  3. 12. Future climate resilience of energy-efficient retrofit projects in central Europe

    Master-uppsats, Lunds universitet/Avdelningen för Energi och byggnadsdesign; Lunds universitet/Institutionen för arkitektur och byggd miljö

    Författare :Jonas Manuel Gremmelspacher; Julija Sivolova; [2019]
    Nyckelord :Climate change; Future climate; Climate action; Building Performance Simulations; Hygrothermal Simulations; Moisture; Heating demand; Retrofit; Renovation; Building stock; Residential; Dwellings; Thermal envelope; Heating peak loads; Thermal comfort; Indoor environmental quality; Actual case studies; Big data; Denmark; Germany; Iterative workflow; Weather files.; Technology and Engineering;

    Sammanfattning : This study assesses the performance of buildings affected by climate change under future climate predictions for three time-periods until the end of the 21st century. Objects studied are residential multi-storey buildings, originally built before 1970 and retrofitted during the last decade. LÄS MER

  4. 13. Blockchain Use for Data Provenance in Scientific Workflow

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sindri Már Kaldal Sigurjonsson; [2018]
    Nyckelord :Blockchain; Data provenance; Scientific workflow; Versioning;

    Sammanfattning : In Scientific workflows, data provenance plays a big part. Through data provenance, the execution of the workflow is documented and information about the data pieces involved are stored. This can be used to reproduce scientific experiments or to proof how the results from the workflow came to be. LÄS MER

  5. 14. Scaling cloud-native Apache Spark on Kubernetes for workloads in external storages

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Piotr Mrowczynski; [2018]
    Nyckelord :Cloud Computing; Spark on Kubernetes; Kubernetes Operator; Elastic Re- source Provisioning; Cloud-Native Architectures; Openstack Magnum; Data Mining; Cloud Computing; Spark över Kubernetes; Kubernetes Operator; Elastic Re- source Provisioning; Cloud-Native Architectures; Openstack Magnum; Containers; Data Mining;

    Sammanfattning : CERN Scalable Analytics Section currently offers shared YARN clusters to its users as monitoring, security and experiment operations. YARN clusters with data in HDFS are difficult to provision, complex to manage and resize. This imposes new data and operational challenges to satisfy future physics data processing requirements. LÄS MER

  7. 15. Scheduling workflows to optimize for execution time

    Master-uppsats, Uppsala universitet/Institutionen för informatik och media

    Författare :Mathias Peters; [2018]
    Nyckelord :Hadoop; Hive; big data; workflows; scheduling; parallelization; automatic dependency identification; dependency graph; SQL; HiveQL;

    Sammanfattning : Many functions in today’s society are immensely dependent on data. Data drives everything from business decisions to self-driving cars to intelligent home assistants like Amazon Echo and Google Home. To make good decisions based on data, of which exabytes are generated every day, somehow that data has to be processed. LÄS MER