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The Role of Elastic Load Balancer

The Role of Elastic Load Balancer

Apache Stratos Elastic Load Balancer
Originally published in SlideShare on 27th August 2013

Imesh Gunaratne

August 27, 2013
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  1. Agenda ➔ Introduction to Load Balancing ◆ What is Load

    Balancing? ◆ Algorithms ◆ Node Configuration Modes ◆ Why is it called Elastic? ◆ Purpose ◆ Features ➔ Component Architecture of Apache Stratos ELB ◆ Synapse Mediation Framework ◆ Apache Axis2 Clustering ◆ Apache Tribes Group Management ◆ Binary Relay Message Builder ◆ Load Balance Endpoint Module ◆ Auto-scaling Module 2
  2. Agenda (cont.) ➔ ELB’s role in Apache Stratos PaaS ◆

    Apache Stratos Logical Architecture ◆ Workflow ➔ Auto-scaling Process ◆ Configuration ◆ Auto-scaling Algorithm ◆ Plugging in Custom Algorithms ➔ How to Avoid Single Point of Failure of ELB 3
  3. What is Load Balancing in general? Load balancing is a

    computer networking method for distributing workloads across multiple computers or a computer cluster, network links, central processing units, disk drives, or other resources - Wikipedia http://en.wikipedia.org/wiki/Load_balancer 5
  4. Load balancing is used to distribute the incoming traffic amongst

    a set of backend worker nodes which are statically configured or dynamically discovered. http://docs.wso2.org/wiki/display/ELB203/Load+Balacing+Basics LB W1 W2 Wn Clients Worker nodes Incoming Traffic 6 What is Load Balancing in Middleware?
  5. Load Balancing Clusters A cluster is a set of nodes

    that communicate with each other and work towards a common goal. 7
  6. Membership Schemes Static Dynamic Configuration Modes • Only a predefined

    set of nodes could exist in a cluster. • New nodes cannot be added at runtime. • Membership is not predefined. • Nodes could discover the load balancer. • Nodes could join a cluster by specifying a cluster name. Hybrid • Also called Well-Known Addressed (WKA). • A cluster could have set of well known members. • Nodes could join a cluster via a well-known member. 8
  7. Most widely used Load Balancing Algorithms ➔ Round Robin ◆

    Passes each new connection request to the next server in line ➔ Weighted Round Robin ◆ The number of connections that each machine receives over time is proportionate to a ratio weight you define. ➔ Least Connections ◆ Passes a new connection to the server that has the least number of current connections. https://devcentral.f5.com/articles/intro-to-load-balancing-for-developers- ndash-the-algorithms 9
  8. Why it is called Elastic? Load Balancer Autoscaler + Monitor

    the incoming traffic and scales request handling capacity (no of nodes) Elastic Load Balancer = Distribute the load of incoming traffic amongst a set of worker nodes 10
  9. What is the Purpose? The motivation of load balancing is

    to ➔ Optimize resource usage ◆ Start and stop resources on demand. ➔ Maximize the throughput ◆ Increase the average rate of successful message delivery. ➔ Minimize the response time ◆ Reduce the time it takes to process a message and send a response back. http://en.wikipedia.org/wiki/Load_balancer 11
  10. Main Features of a Load Balancer There are three main

    features: ➔ Failover Handling ◆ Avoid single point of failure by hosting multiple instances of a given service. ➔ Auto-scaling ◆ Manage number of instances of an application according to the incoming traffic. ➔ Multi-tenancy ◆ Manage multiple tenants of applications. 12
  11. Binary Relay Message Builder • Synapse uses Axis2 engine for

    message processing. • Axis2 uses Message Formatters & Message Builders for serializing and building incoming messages into SOAP format. • Binary Relay is an Axis2 message builder which pass through all messages without processing them. Binary Relay Message Builder 17
  12. Binary Relay definition in Axis2.xml elb/repository/conf/axis2/axis2.xml <messageBuilders> <messageBuilder contentType="application/xml" class="org.wso2.carbon.relay.BinaryRelayBuilder"/>

    <messageBuilder contentType="application/txt" class="org.wso2.carbon.relay.BinaryRelayBuilder"/> . . . </messageBuilders> Binary Relay Message Builder 18
  13. Load Balance Endpoint Module • Tenant Aware Load Balance Endpoint

    ◦ Extends Synapse Dynamic Load Balance Endpoint. ◦ Utilizes round robin load balance algorithm. • Topology Syncher ◦ Receives service cluster topology information from Cloud Controller via the Message Broker. • Health Checker ◦ Re-establishes connection to the Message Broker if it drops. Load Balance Endpoint Module 19
  14. Load Balance Endpoint Module (cont.) • Cluster Domain Manager Impl

    ◦ Manages cluster sub domains of cartridge instances. • Group Mgt Agent Builder ◦ Manages Axis2 group management agents of cluster sub domains. • Registry Manager ◦ Receives domain mappings of cartridge instances from ADC manager via the registry. Load Balance Endpoint Module 20
  15. Session Affinity • There are two different ways to manage

    session information. • Replicate in cluster is a very costly process. • Therefore ELB manages session information for the applications. Session Information Replicate in Cluster Handled by LB Load Balance Endpoint Module 21
  16. Auto-scaling Module • Autoscale In Mediator ◦ Generates a token

    (request id) per request received and adds it to a queue. • Autoscale Out Mediator ◦ Removes the token added by the in mediator when a response is received from the end point. • Service Requests InFlight Autoscaler (Task) ◦ Performs sanity checks to ensure that all clusters meet the minimum number of nodes. ◦ Performs scaling based on the request load & scaling configuration parameters. Auto-scaling Module 22
  17. Cartridge Subscription Workflow 1. [SC -> CC] Send Cartridge Subscription

    Request 2. [CC] Deploy Cartridge Instance Service 3. [CC -> MB] Publish Cluster Topology Information 4. [MB -> ELB] Receive Cluster Topology Information 5. [CC -> jclouds] Instance Spawn Request 6. [jclouds -> IaaS] Spawn Cartridge Instance 7. [Cartridge -> Agent] Request to Join Cluster 8. [Agent -> ELB] Add Node to Cluster 25
  18. 1. [Client -> ELB] Send request message 2. [ELB] Identify

    cluster & tenant using message header 3. [ELB] Add request to a list 4. [ELB -> Node] If session exists, send message 5. [ELB] If not store session information 6. [ELB -> Node] Apply algorithm & send message 7. [ELB -> Node] Handle failover 8. [Node -> ELB] Send response 9. [ELB -> Client] Send response and remove request from list 10. [ELB] Scale number of cartridge instances Load Balancing Workflow 26
  19. Load Balancer Configuration loadbalancer.conf loadbalancer { # minimum number of

    load balancer instances instances 1; # whether autoscaling should be enabled or not. enable_autoscaler true; # autoscaling decision making task #autoscaler_task org.wso2.carbon.mediator.autoscale.lbautoscale.task. ServiceRequestsInFlightAutoscaler; #please use this whenever url-mapping is used through LB. #size_of_cache 100; ... 27
  20. Load Balancer Configuration (cont.) loadbalancer { ... # Endpoint reference

    of the Autoscaler Service. This should be present, if you disabled embedded autoscaling. #autoscaler_service_epr https://host_address: https_port/services/AutoscalerService/; # interval between two task executions in milliseconds autoscaler_task_interval 60000; # after an instance booted up, task will wait maximum till this much of time and let the server started up server_startup_delay 180000; #default will be 60000ms # session timeout session_timeout 90000; # enable failover fail_over true; } 28
  21. Port Mapping • Ports of applications deployed in cartridge instances

    are mapped to external ports by the load balancer. • Port mapping is defined in <cartridge>.xml file. • Example: <portMapping> <http port="80" proxyPort="8280"/> <https port="443" proxyPort="8243"/> </portMapping> 29
  22. Auto-scaling Configuration loadbalancer.conf services { # default parameter values to

    be used in all services defaults { # minimum number of service instances required min_app_instances 1; # maximum number of service instances that will be load balanced max_app_instances 3; # maximum number of requests served per second by a service instance max_requests_per_second 5; # scale up early using AUR, 0 < AUR <= 1 and default is 0.7 alarming_upper_rate 0.7; # scale down slowly using ALR, 0 < ALR <= 1 and default is 0.2 alarming_lower_rate 0.2; # scale down slowly using SDF, 0 < SDF <= 1 and default is 0.25 scale_down_factor 0.25; # no of iterations in-flight avg is calculated to take the decision rounds_to_average 2; message_expiry_time 60000; } 31
  23. Custom Auto-scaling Implementation • You could write your own Java

    implementation which implements org.apache.synapse.task.Task and org.apache. synapse.ManagedLifecycle interfaces. • Wrap the implementation class to an OSGi bundle and deploy it in the ELB OSGi container. • Update autoscaler_task value in loadbalancer.conf. 33
  24. How to avoid Single Point of Failure of ELB An

    ELB is prone to single point of failure 34
  25. References • Apache Stratos Documentation https://cwiki.apache.org/confluence/display/STRATOS/Index • WSO2 Load Balancer

    - How it works http://blog.afkham.org/2011/09/wso2-load-balancer-how-it-works.html • WSO2 Webinar - Introducing the WSO2 Load Balancer http://www.youtube.com/watch?v=HgiTyvZ-Sfw • WSO2 Elastic Load Balancer Documentation http://docs.wso2. org/wiki/display/ELB203/WSO2+Elastic+Load+Balancer+Documentation • WSO2, Introduction to Carbon Clustering http://wso2.com/library/articles/introduction-wso2-carbon-clustering 37
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