Mesos

Apache Mesos ist ein Kernel für verteilte Systeme und ein Cluster-Ressourcenmanager, der CPU, Arbeitsspeicher und Speicher über einen Pool von Knoten hinweg abstrahiert. Es fungiert als Orchestrator für verteilte Infrastruktur und bietet eine Schicht, um mehrere Orchestrierungs-Frameworks auf einer gemeinsamen Menge physischer oder virtueller Maschinen auszuführen.

Das System agiert als Ressourcen-Isolations-Engine, die einen gemeinsamen Cluster in isolierte Container unterteilt, um diverse Workloads gleichzeitig auszuführen. Es ermöglicht Multi-Framework-Orchestrierung, wodurch verschiedene Frameworks für verteilte Anwendungen eine einzige Infrastruktur teilen können, um die Hardwareauslastung zu maximieren.

Das Projekt deckt die Verteilung von Rechenleistung im großen Maßstab und das Management verteilter Cluster ab. Die Funktionen umfassen die Verwaltung verteilter Ressourcen und die Isolierung von Rechenleistung über mehrere Anwendungen hinweg, um Interferenzen zu verhindern und eine stabile Leistung auf gemeinsam genutzten Servern sicherzustellen.

Features

Distributed Computing Frameworks - Provides a distributed infrastructure for running multiple computing frameworks across networked machines.
Two-Level Scheduling - Implements a two-level scheduling mechanism that delegates task launching to individual frameworks.
Offer-Based Allocation - Distributes cluster resources by offering available CPU and memory to frameworks for acceptance or rejection.
Multi-Framework Orchestration - Supports running several different orchestration frameworks on a single shared infrastructure.
Distributed Cluster Management - Manages a pool of shared computing resources across multiple nodes to ensure efficient hardware utilization.
Distributed Infrastructure Orchestration - Provides a layer for running multiple orchestration frameworks on a shared set of physical or virtual machines.
Workload Isolation - Divides a shared cluster into isolated containers to run diverse workloads concurrently without interference.
Resource Isolation - Partitions system resources across applications to prevent interference and maintain stable performance.
Heartbeat Monitors - Monitors worker node availability and cluster health via periodic heartbeat signals between master and agents.
Distributed Systems Kernels - Abstracts CPU, memory, and storage across a pool of nodes to function as a distributed systems kernel.
Namespace-Based Isolation - Implements resource isolation using Linux kernel namespaces and control groups to prevent application interference.
Cluster Resource Managers - Acts as a cluster resource manager that provisions and scales compute power across diverse infrastructure.
Cluster Resource Isolation - Provides strict isolation of compute resources to allow multiple frameworks to run concurrently on shared hardware.
Multi-Framework Orchestration - Enables multiple orchestration frameworks to share a single physical infrastructure to maximize hardware utilization.
Replicated State Machines - Maintains consistent cluster state across multiple master nodes using a distributed consensus algorithm.
Framework Registrations - Allows different orchestration engines to connect to the cluster runtime dynamically without restarting the master.
Distributed Compute Environments - Provides a distributed compute environment for executing workloads across a vast network of servers.
Container Orchestration - Distributed systems kernel for resource management.
Workload Orchestration and Scheduling - Distributed systems kernel for resource abstraction.

Star-Verlauf

apachemesos

Name: apache/mesos
Author: apache

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Mesos

Features

Distributed Computing Frameworks - Provides a distributed infrastructure for running multiple computing frameworks across networked machines.
Two-Level Scheduling - Implements a two-level scheduling mechanism that delegates task launching to individual frameworks.
Offer-Based Allocation - Distributes cluster resources by offering available CPU and memory to frameworks for acceptance or rejection.
Multi-Framework Orchestration - Supports running several different orchestration frameworks on a single shared infrastructure.
Distributed Cluster Management - Manages a pool of shared computing resources across multiple nodes to ensure efficient hardware utilization.
Distributed Infrastructure Orchestration - Provides a layer for running multiple orchestration frameworks on a shared set of physical or virtual machines.
Workload Isolation - Divides a shared cluster into isolated containers to run diverse workloads concurrently without interference.
Resource Isolation - Partitions system resources across applications to prevent interference and maintain stable performance.
Heartbeat Monitors - Monitors worker node availability and cluster health via periodic heartbeat signals between master and agents.
Distributed Systems Kernels - Abstracts CPU, memory, and storage across a pool of nodes to function as a distributed systems kernel.
Namespace-Based Isolation - Implements resource isolation using Linux kernel namespaces and control groups to prevent application interference.
Cluster Resource Managers - Acts as a cluster resource manager that provisions and scales compute power across diverse infrastructure.
Cluster Resource Isolation - Provides strict isolation of compute resources to allow multiple frameworks to run concurrently on shared hardware.
Multi-Framework Orchestration - Enables multiple orchestration frameworks to share a single physical infrastructure to maximize hardware utilization.
Replicated State Machines - Maintains consistent cluster state across multiple master nodes using a distributed consensus algorithm.
Framework Registrations - Allows different orchestration engines to connect to the cluster runtime dynamically without restarting the master.
Distributed Compute Environments - Provides a distributed compute environment for executing workloads across a vast network of servers.
Container Orchestration - Distributed systems kernel for resource management.
Workload Orchestration and Scheduling - Distributed systems kernel for resource abstraction.

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Häufig gestellte Fragen

Was macht apache/mesos?

Was sind die Hauptfunktionen von apache/mesos?

Die Hauptfunktionen von apache/mesos sind: Distributed Computing Frameworks, Two-Level Scheduling, Offer-Based Allocation, Multi-Framework Orchestration, Distributed Cluster Management, Distributed Infrastructure Orchestration, Workload Isolation, Resource Isolation.

Welche Open-Source-Alternativen gibt es zu apache/mesos?

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