Abstract

CERN is using an increasing number of DNS based load balanced aliases (currently over 700). This article explains the Go based concurrent implementation of the Load Balancing Service, both the client (lbclient) and the server (lbd). The article describes how it is being progressively deployed using Puppet and how concurrency greatly improves scalability, ultimately allowing a single master-slave couple of Openstack virtual machines to server all the aliases. It explains the new implementation of the lbclient, which, among other things, allows to incorporate Collectd metrics to determine the status of the node and takes advantage of the Go language concurrency features to reduce the real time needed for checking the status of the node. The article explains that the LBD server acts as an arbiter getting feedback on load and health from the backend nodes using snmp (Simple Network Management Protocol) to decide which IP addresses the LB alias will present. While this architecture has been used since long at CERN for DNS based aliases, the LBD code is generic enough to drive other load balancers. A proof of concept using HAProxy to provide adaptive responses to load and health monitoring has been implemented.

Highlights

  • This paper describes the main components of the Load Balancing Service created at CERN

  • After gathering the results from all the nodes that could potentially sit behind an alias, the Load Balanced Daemon (LBD) will select the best candidates, and it will update the DNS server

  • The Load Balanced Daemon uses SNMP as the communication protocol between the LBD and the lbclient running on the nodes

Read more

Summary

Introduction

This paper describes the main components of the Load Balancing Service created at CERN.

System architecture - overview
Implementation
Deployment
Communication
Partitions
Achieving High Availability
Monitoring
Future work
Summary
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.