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ELB Features

Feature

Description

Elastically Scale Worker Nodes

 

  • The WSO2 ELB monitors load on worker nodes and starts or terminates nodes based on need.
  • Scaling comes by talking to underlying Infrastructure as a Service (IaaS).
  • Scaling can happen across multiple underlying IaaS simultaneously.

IaaS-Independent Elasticity

  • Auto-scaling components of the WSO2 ELB supports execution on top of various IaaS offerings including Amazon EC2, Eucalyptus, Ubuntu Cloud, Openstack and VMware.
  • Multiple IaaS offerings can be registered at once via JClouds API.

Cloud Bursting to Hybrid Clouds

  • Service clusters can have a static worker pool and an additional burst pool.
  • Bursting can span across public and private clouds using different IaaS providers at the same time.
  • Allows you to extend your data center’s processing capabilities by leveraging the computing power available on public clouds such as Amazon EC2.

Tenant-Aware Load Balancing

  • Dynamic tenant loading and unloading after a defined time.
  • Tenants can be partitioned to different service clusters.

"Private Jet" Mode for Tenants

  • Multi-tenant deployments can allow some tenants’ load to deploy in a single tenant mode.

  • Clusters are isolated for special privileges such as priority processing, user-based customized actions and improved performance.

  • Allocate entire service clusters by tenant, through the loadbalancer.conf file, ensuring that all requests to the tenant will be forwarded to a particular cluster.

Service-Aware Load Balancing
  • The WSO2 ELB can load balance multiple services at once.
  • Services can be configured to different service clusters or shared service clusters.
Dynamic Discovery
  • WSO2 ELB dynamically discovers worker nodes.
  • Adds or removes new nodes without restarting system.
  • Adds or removes entire clusters dynamically.
  • Notifies all load balancers when a new node is added to the cluster.
Administrator-Friendly
  • Simple, textual configuration language and configuration files with details.
  • Fast startup times and dynamically-reconfigurable.
  • Easy to manage and monitor with systems such as Nagios and Unix.

Data Partitioning

 

  • Partitions data based on a given factor such as the geographic location.

For example, if tenants 1 to 100 should load and store data in the United States, a new application cluster can be deployed at the United States and informed to the Load Balancer. The loadbalancer.conf file can be configured to specify that tenants 1 to 100 are loaded at a particular cluster (named as wso2.as.usa.domain) ensuring that all requests coming to tenants 1 to 100 will be forwarded to that cluster and the data related to those tenants (e.g. application files, databases) will be stored in servers at the United States.

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