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Fast Data Processing Systems with SMACK Stack

You're reading from  Fast Data Processing Systems with SMACK Stack

Product type Book
Published in Dec 2016
Publisher Packt
ISBN-13 9781786467201
Pages 376 pages
Edition 1st Edition
Languages
Author (1):
Raúl Estrada Raúl Estrada
Profile icon Raúl Estrada

Table of Contents (15) Chapters

Fast Data Processing Systems with SMACK Stack
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. An Introduction to SMACK 2. The Model - Scala and Akka 3. The Engine - Apache Spark 4. The Storage - Apache Cassandra 5. The Broker - Apache Kafka 6. The Manager - Apache Mesos 7. Study Case 1 - Spark and Cassandra 8. Study Case 2 - Connectors 9. Study Case 3 - Mesos and Docker

Mesos frameworks API


As we saw in the Chapter 6, The Manager - Apache Mesos, a Mesos framework is a layer between Mesos and the application, and is used for managing task scheduling and execution. As the framework implementation is specific to the application, the term is usually used to refer to the application.

Initially, the Mesos framework only could communicate with the Mesos API using the libmesos written on C++. So, in order to interact with Java, Scala, Python, and Go, one had to develop language bindings using libmesos. Since Mesos version 0.19.0, an HTTP-based protocol has been included to enable developers to build frameworks in the language of their choice without having to work with a C++ wrapper.

A Mesos framework has two components:

  • Scheduler: Responsible for taking decisions on resource offerings and tracking the current cluster state. The SchedulerDriver module has these responsibilities: to handle the communication with the Mesos master, to register frameworks with the master...
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