Unsupervised clustering in Mesos /

"Apache Mesos is an open source cluster manager that handles workloads in a distributed environment through dynamic resource sharing and isolation. Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines (physical or virtual), enabling fault-tolerant and elas...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Whitford, Karl (Orador)
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : Packt Publishing, 2019.
Temas:
Apache Mesos (Electronic resource)
Cloud computing.
Database management.
Cluster analysis > Data processing.
Electronic data processing > Distributed processing.
Infonuagique.
Bases de données > Gestion.
Classification automatique (Statistique) > Informatique.
Traitement réparti.
Cloud computing
Cluster analysis > Data processing
Database management
Electronic data processing > Distributed processing
Electronic videos.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"Apache Mesos is an open source cluster manager that handles workloads in a distributed environment through dynamic resource sharing and isolation. Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines (physical or virtual), enabling fault-tolerant and elastic distributed systems to easily be built and run effectively. This course begins with an introduction to Inference matroids wherein you will learn about vertex combiners with Hama, Graph Isomorphism, Soliton, and DAGs. Then you will learn to perform granular synthesis with druid streams and to write custom isolator module for Mesos. Next, you will be introduced to RoBo and will learn to manifold the cluster trees . Then you will understand what Pythonic Clojars and Monads are. Further, you will become familiar with the actor dining model and port mappings. Finally, you will learn to auto-scale clusters."--Resource description page
Notas:Title from resource description page (Safari, viewed March 22, 2019).
Descripción Física:1 online resource (1 streaming video file (2 hr., 27 min., 36 sec.))

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