Apache Mesos Platform
(Redirected from Apache Mesos)
Jump to navigation
Jump to search
An Apache Mesos Platform is a cluster management platform that manages distributed hardware resources into a single pool of computing resources that can be used by application frameworks to efficiently manage workload distribution for both batch jobs and long-running services.
- Context:
- It can manage a Mesos Cluster (composed of a Mesos Master Server and Mesos Salves).
- Example(s):
- Mesos v0.28.2, 2016-06-04 http://archive.apache.org/dist/mesos/0.28.2/
- …
- Mesos v0.12.1, 2013-08-11 http://archive.apache.org/dist/mesos/0.12.1/
- Counter-Example(s):
- See: Data Center, JobServer, OS Resource Management, Zookeeper, Distributed Systems Kernel, Marathon Init Service, Mesosphere Marathon.
References
2015
- http://mesos.apache.org/
- QUOTE: 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. …
… Mesos is built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications (e.g., Hadoop, Spark, Kafka, Elastic Search) with API’s for resource management and scheduling across entire datacenter and]]cloud environment]]s.
- QUOTE: 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. …
2014
- (Wikipedia, 2014) ⇒ http://en.wikipedia.org/wiki/JobServer# Retrieved:2014-11-20.
- Mesos is a cluster management platform that manages distributed hardware resources into a single pool of resources that can be used by application frameworks to efficiently manage workload distribution for both batch jobs and long-running services. JobServer functions as a Mesos application framework to distribute jobs on a cluster of servers. JobServer integrates with Mesos by sending jobs to Mesos for execution and for efficient resource allocation.