Load Balancing in Cloud Computing
Load balancing is the method that allows you to have a proper balance of the amount of work being done on different pieces of device or hardware equipment. Typically, what happens is that the load of the devices is balanced between different servers or between the CPU and hard drives in a single cloud server.
Load balancing was introduced for various reasons. One of them is to improve the speed and performance of each single device, and the other is to protect individual devices from hitting their limits by reducing their performance.
Cloud load balancing is defined as dividing workload and computing properties in cloud computing. It enables enterprises to manage workload demands or application demands by distributing resources among multiple computers, networks or servers. Cloud load balancing involves managing the movement of workload traffic and demands over the Internet.
Traffic on the Internet is growing rapidly, accounting for almost 100% of the current traffic annually. Therefore, the workload on the servers is increasing so rapidly, leading to overloading of the servers, mainly for the popular web servers. There are two primary solutions to overcome the problem of overloading on the server-
Cloud-based servers can achieve more precise scalability and availability by using farm server load balancing. Load balancing is beneficial with almost any type of service, such as HTTP, SMTP, DNS, FTP, and POP/IMAP.
It also increases reliability through redundancy. A dedicated hardware device or program provides the balancing service.
Different Types of Load Balancing Algorithms in Cloud Computing:
1. Static Algorithm
Static algorithms are built for systems with very little variation in load. The entire traffic is divided equally between the servers in the static algorithm. This algorithm requires in-depth knowledge of server resources for better performance of the processor, which is determined at the beginning of the implementation.
However, the decision of load shifting does not depend on the current state of the system. One of the major drawbacks of static load balancing algorithm is that load balancing tasks work only after they have been created. It could not be implemented on other devices for load balancing.
2. Dynamic Algorithm
The dynamic algorithm first finds the lightest server in the entire network and gives it priority for load balancing. This requires real-time communication with the network which can help increase the system's traffic. Here, the current state of the system is used to control the load.
The characteristic of dynamic algorithms is to make load transfer decisions in the current system state. In this system, processes can move from a highly used machine to an underutilized machine in real time.
3. Round Robin Algorithm
As the name suggests, round robin load balancing algorithm uses round-robin method to assign jobs. First, it randomly selects the first node and assigns tasks to other nodes in a round-robin manner. This is one of the easiest methods of load balancing.
Processors assign each process circularly without defining any priority. It gives fast response in case of uniform workload distribution among the processes. All processes have different loading times. Therefore, some nodes may be heavily loaded, while others may remain under-utilised.
4. Weighted Round Robin Load Balancing Algorithm
Weighted Round Robin Load Balancing Algorithms have been developed to enhance the most challenging issues of Round Robin Algorithms. In this algorithm, there are a specified set of weights and functions, which are distributed according to the weight values.
Processors that have a higher capacity are given a higher value. Therefore, the highest loaded servers will get more tasks. When the full load level is reached, the servers will receive stable traffic.
5. Opportunistic Load Balancing Algorithm
The opportunistic load balancing algorithm allows each node to be busy. It never considers the current workload of each system. Regardless of the current workload on each node, OLB distributes all unfinished tasks to these nodes.
The processing task will be executed slowly as an OLB, and it does not count the implementation time of the node, which causes some bottlenecks even when some nodes are free.
6. Minimum To Minimum Load Balancing Algorithm
Under minimum to minimum load balancing algorithms, first of all, those tasks take minimum time to complete. Among them, the minimum value is selected among all the functions. According to that minimum time, the work on the machine is scheduled.
Other tasks are updated on the machine, and the task is removed from that list. This process will continue till the final assignment is given. This algorithm works best where many small tasks outweigh large tasks.
Load balancing solutions can be categorized into two types -
Major Examples of Load Balancers -
Types of Load Balancing
You will need to understand the different types of load balancing for your network. Server load balancing is for relational databases, global server load balancing is for troubleshooting in different geographic locations, and DNS load balancing ensures domain name functionality. Load balancing can also be based on cloud-based balancers.
Network Load Balancing
Cloud load balancing takes advantage of network layer information and leaves it to decide where network traffic should be sent. This is accomplished through Layer 4 load balancing, which handles TCP/UDP traffic. It is the fastest local balancing solution, but it cannot balance the traffic distribution across servers.
HTTP(S) load balancing
HTTP(s) load balancing is the oldest type of load balancing, and it relies on Layer 7. This means that load balancing operates in the layer of operations. It is the most flexible type of load balancing because it lets you make delivery decisions based on information retrieved from HTTP addresses.
Internal Load Balancing
It is very similar to network load balancing, but is leveraged to balance the infrastructure internally.
Load balancers can be further divided into hardware, software and virtual load balancers.
Hardware Load Balancer
It depends on the base and the physical hardware that distributes the network and application traffic. The device can handle a large traffic volume, but these come with a hefty price tag and have limited flexibility.
Software Load Balancer
It can be an open source or commercial form and must be installed before it can be used. These are more economical than hardware solutions.
Virtual Load Balancer
It differs from a software load balancer in that it deploys the software to the hardware load-balancing device on the virtual machine.
WHY CLOUD LOAD BALANCING IS IMPORTANT IN CLOUD COMPUTING?
Here are some of the importance of load balancing in cloud computing.
Offers better performance
The technology of load balancing is less expensive and also easy to implement. This allows companies to work on client applications much faster and deliver better results at a lower cost.
Helps Maintain Website Traffic
Cloud load balancing can provide scalability to control website traffic. By using effective load balancers, it is possible to manage high-end traffic, which is achieved using network equipment and servers. E-commerce companies that need to deal with multiple visitors every second use cloud load balancing to manage and distribute workloads.
Can Handle Sudden Bursts in Traffic
Load balancers can handle any sudden traffic bursts they receive at once. For example, in case of university results, the website may be closed due to too many requests. When one uses a load balancer, he does not need to worry about the traffic flow. Whatever the size of the traffic, load balancers will divide the entire load of the website equally across different servers and provide maximum results in minimum response time.
The main reason for using a load balancer is to protect the website from sudden crashes. When the workload is distributed among different network servers or units, if a single node fails, the load is transferred to another node. It offers flexibility, scalability and the ability to handle traffic better.
Because of these characteristics, load balancers are beneficial in cloud environments. This is to avoid heavy workload on a single server.
Thousands of people have access to a website at a particular time. This makes it challenging for the application to manage the load coming from these requests at the same time. Sometimes this can lead to system failure.