Load Balancing Intro
-- Brought to you by the 2X Cloud Computing Team --
Load balancing plays a critical role in cloud computing. It distributes the workload evenly across all the servers in the cloud to avoid cases where some servers are heavily loaded, while others are idle or operating at a minimal workload. Thanks to load balancing, the end user achieves a higher user satisfaction level and computing resources are fully optimized. This improves the overall performance and deployment of system resources.
It is difficult to implement cloud computing without load balancing since it provides redundancy through redirection and fault correction, when combined with a failover mechanism. Load balancing is used to distribute requests for access to applications. It’s applicable to the following scenarios:
- Service such as HTTP, HTTPS, DNS, FTP
- Access to application instances
- Intelligent switches connection
- Storage resources
Cloud computing is the new paradigm for large scale distributed computing. It enables convenient on-demand network access to shared computing resources. Load balancing distributes the workload across various servers to ensure no single server is overwhelmed. Load balancing helps in optimal utilization of computing resources, and therefore it enhances the performance of the system. The aim of load balancing is to minimize consumption of resources. Let’s look at a few of the load balancing techniques for cloud computing.
Central load balancing for virtual machines
- Central load balancing for virtual machines distributes the load evenly in a cloud computing environment. The result is the overall performance of the system is improved but it doesn’t consider fault-tolerant systems.
Load balancing for virtual storage
- Load balancing for virtual storage provides a large-scale net data storage model and SaaS cloud service. A three layered architecture achieves storage virtualization and load balancing is effected using two load balancing modules. This helps to improve efficiency of simultaneous access by employing replica balancing to further reduce response time and enhance the capacity for disaster recovery.
Scheduling technique on load balancing for virtual machines
- Scheduling technique on load balancing uses current state of the system and historical data to achieve the best load balancing and reduced algorithm. This helps to resolve load imbalance and high cost of migration to achieve better resource usage
You may not be aware of it, but the bottom line is if you are deploying applications in the cloud, you are going to need load balancing. When you start increasing the number of servers to improve the capacity of your applications, load balancing gets involved since it’s the way in which one implements horizontal scalability. The fact that you have employed an application in the cloud, and scaled it up, leads you to load balancing. Load balancing is more important to an application if it is deployed in an enterprise cloud. In a nut shell, load balancing ensures continuous availability and peak performance of applications.
2X Software is a global leader in virtual desktop and application delivery, remote access and corporate mobility. Their award winning 2X Remote Application Server solution provides high-capacity, resource-based load balancing and management features. 2X Remote Application Server fully integrates 2X LoadBalancer to offer resource-based load balancing. The 2X LoadBalancer allows you to easily load balance RDP/ICA sessions between Windows Remote Desktop Services/Windows Terminal Services or Citrix terminal servers which provides fault tolerance. In addition, for remote users, back-end terminal servers can be hidden, only allowing access to the gateway machine(s) which significantly increases terminal server security. With 2X Remote Application Server, users can be easily reconnected to active and disconnected sessions, removing the need to set up Microsoft Session Directory Services. Download 2X Remote Application Server now and start taking advantage of load balancing in your cloud!