Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
YARN's core concept revolves around the division of resource management and job scheduling/monitoring into distinct daemons, aiming for a centralized ResourceManager (RM) alongside individual ApplicationMasters (AM) for each application. Each application can be defined as either a standalone job or a directed acyclic graph (DAG) of jobs. Together, the ResourceManager and NodeManager create the data-computation framework, with the ResourceManager serving as the primary authority that allocates resources across all applications in the environment. Meanwhile, the NodeManager acts as the local agent on each machine, overseeing containers and tracking their resource consumption, including CPU, memory, disk, and network usage, while also relaying this information back to the ResourceManager or Scheduler. The ApplicationMaster functions as a specialized library specific to its application, responsible for negotiating resources with the ResourceManager and coordinating with the NodeManager(s) to efficiently execute and oversee the execution of tasks, ensuring optimal resource utilization and job performance throughout the process. This separation allows for more scalable and efficient management in complex computing environments.
Description
This system merges the user-friendly aspects of a PC-oriented development environment with the advantages of a streamlined software framework tailored for resource-constrained embedded systems. Beyond the contemporary C++ structure of the framework, developers benefit from the capabilities of the Guilani Streaming Editor (GSE). This tool simplifies the process of creating, altering, or enhancing features of the graphical user interface without requiring any direct code modifications. Additionally, the GSE facilitates straightforward management of various resources including images, text, and audio elements. Furthermore, this combination enhances productivity and efficiency for software engineers working in embedded environments.
API Access
Has API
Yes
API Access
Has API
No
Integrations
ActiveBatch Workload Automation
Yes
Apache Knox
Yes
Apache PredictionIO
Yes
Apache Ranger
Yes
Astera Dataprep
Yes
C++
No
Cloudera Data Platform
Yes
DX Unified Infrastructure Management
Yes
Hue
Yes
IronCore Labs
Yes
Integrations
ActiveBatch Workload Automation
No
Apache Knox
No
Apache PredictionIO
No
Apache Ranger
No
Astera Dataprep
No
C++
Yes
Cloudera Data Platform
No
DX Unified Infrastructure Management
No
Hue
No
IronCore Labs
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Apache Software Foundation
Founded
1999
Country
Uniited States
Website
hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/YARN.html
Vendor Details
Company Name
Guiliani
Website
www.guiliani.de/