Mesos

Apache Mesos este un kernel de sisteme distribuite și un manager de resurse de cluster care abstractizează CPU-ul, memoria și stocarea pe un pool de noduri. Acesta funcționează ca un orchestrator de infrastructură distribuită, oferind un strat pentru a rula mai multe framework-uri de orchestrare pe un set partajat de mașini fizice sau virtuale.

Sistemul acționează ca un motor de izolare a resurselor, împărțind un cluster partajat în containere izolate pentru a rula diverse sarcini de lucru simultan. Acesta permite orchestrarea multi-framework, permițând diferitelor framework-uri de aplicații distribuite să partajeze o singură infrastructură pentru a maximiza utilizarea hardware-ului.

Proiectul acoperă distribuția de calcul la scară largă și gestionarea clusterelor distribuite. Capabilitățile sale includ gestionarea resurselor distribuite și izolarea puterii de calcul pe mai multe aplicații pentru a preveni interferențele și a asigura o performanță stabilă pe serverele partajate.

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.

Istoric stele

apachemesos

Name: apache/mesos
Author: apache

View on GitHub

5,369 stele1,663 fork-uriC++Apache-2.03 vizualizări

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.

Alternative open-source pentru Mesos

Proiecte open-source similare, clasificate după numărul de funcționalități comune cu Mesos.

dask/dask
dask/dask
13,746Vezi pe GitHub
Dask is a parallel computing framework and distributed task scheduler designed to scale Python data science workflows from single machines to large clusters. It functions as a cluster resource manager that orchestrates computational logic by representing tasks and their dependencies as directed acyclic graphs. This architecture allows the system to automate the distribution of workloads across available hardware while managing complex execution requirements. The project distinguishes itself through a lazy evaluation engine that defers data operations until they are explicitly requested, enabl
Pythondasknumpypandas
Vezi pe GitHub13,746
baidu/braft
baidu/braft
4,216Vezi pe GitHub
braft is an embeddable C++ library that implements the Raft consensus algorithm, providing a distributed consensus engine for building fault-tolerant, replicated state machines. At its core, it manages leader election, log replication, cluster membership changes, and state machine synchronization across a cluster of nodes, ensuring strong consistency and data durability even in the face of node failures. The library distinguishes itself through a comprehensive set of mechanisms for reliable distributed coordination. It uses a randomized timeout-based leader election process with term manageme
C++distributed-consensusdistributed-storageraft
Vezi pe GitHub4,216
apache/storm
apache/storm
6,683Vezi pe GitHub
Storm is a distributed stream processing framework designed to execute unbounded computations across a cluster to process real-time data streams. It functions as a data pipeline orchestrator that allows users to define and deploy declarative data flow graphs connecting streaming sources to processing components. The system operates as a multi-tenant distributed compute engine that isolates workloads and limits resource usage across shared clusters using dedicated pools and access control. It is also a secure distributed processing engine that employs encrypted node communication and SSL-secur
Java
Vezi pe GitHub6,683
hashicorp/raft
hashicorp/raft
9,037Vezi pe GitHub
This is a Raft consensus library and distributed consensus engine implemented in Go. It provides the primitives necessary to build fault-tolerant distributed services by implementing a replicated state machine that ensures a group of servers agree on a shared system state through leader election and log replication. The project distinguishes itself through a pluggable architecture for storage backends and snapshot storage, decoupling the consensus logic from physical persistence. It includes specialized mechanisms for leadership transfer, protocol version management to support rolling upgrade
Go
Vezi pe GitHub9,037

Vezi toate cele 30 alternative pentru Mesos

Întrebări frecvente

Ce face apache/mesos?

Care sunt principalele funcționalități ale apache/mesos?

Principalele funcționalități ale apache/mesos sunt: Distributed Computing Frameworks, Two-Level Scheduling, Offer-Based Allocation, Multi-Framework Orchestration, Distributed Cluster Management, Distributed Infrastructure Orchestration, Workload Isolation, Resource Isolation.

Care sunt câteva alternative open-source pentru apache/mesos?

Alternativele open-source pentru apache/mesos includ: dask/dask — Dask is a parallel computing framework and distributed task scheduler designed to scale Python data science workflows… apache/storm — Storm is a distributed stream processing framework designed to execute unbounded computations across a cluster to… baidu/braft — braft is an embeddable C++ library that implements the Raft consensus algorithm, providing a distributed consensus… hashicorp/raft — This is a Raft consensus library and distributed consensus engine implemented in Go. It provides the primitives… ltsopensource/light-task-scheduler — Light Task Scheduler is a distributed job scheduling and workflow orchestration platform designed for managing… aurae-runtime/aurae — Aurae is a memory-safe distributed systems runtime daemon written in Rust that acts as a container and process…