Load Balancing has been an essential part of Cloud Computing over the years and it has expanded tremendously since the inception of Cloud Computing. Cloud system is built to optimize the load balance for an individual device that makes up a cloud network.
In the previous post, we had discussed the importance of load balancing in the Cloud environment and now we shall discuss more Load Balancing and different types of load balancing algorithms in Cloud Computing.
Load Balancing is the method that allows you to create a proper balance of the amount of work that is being performed on various pieces of device or hardware equipment. Usually, what happens is that loads of the devices are balanced amongst different servers or inside a single Cloud server between CPUs and hard drives.
Load Balancing was introduced for various reasons. One of them is to better the speed and performance of every single device and the other is to keep saving individual devices from hitting their threshold by dropping down their performance.
Different Types of Load Balancing Algorithms in Cloud Computing:
Static Algorithms are made for those systems which have very low variations in load. In Static Algorithm, the entire traffic is equally divided amongst the servers. This algorithm needs an in-depth knowledge of server resources for better performance of the processors which is determined at the beginning of the implementation.
However, the decision of load shifting does not depend on the present state of the system. There is one major drawback of Static Load Balancing Algorithm that is load balancing tasks work only after they are created, it could not be implemented to other devices for load balancing.
Dynamic Algorithm first searches the lightest server in the entire network and gives it the preference for load balancing. It requires real time communication with the network that can help in increasing the traffic of the system. Here, the present state of the system is used to control the load.
The specialty of Dynamic Algorithm is to make load transfer decisions to the actual current system state. In this system, processes are allowed to move from a highly utilized machine from under utilized machine in real time.
This is amongst the easiest methods of load balancing. As the name suggests, Round Robin Load Balancing Algorithm uses the round-robin method for assigning the jobs. Firstly, it chooses the first node on a random basis and assigns the tasks to the other nodes in round robin way.
Processors circularly assign each process without defining any priority. This results in a faster response in case of similar workload distribution among the processes. All the processes have different loading time. Therefore, some nodes might be heavily loaded, while the others may remain under-utilized.
Weighted Round Robin Load Balancing Algorithm is developed to enhance the most challenging issues of Round Robin Algorithm. In this algorithm, there is a designated prescribed weight and jobs which are distributed as per the values of the weight.
Those processors that have greater abilities are assigned a bigger value. Therefore, highest weighted servers will get more tasks. When the entire weights come in level, servers will get steady traffic.
Opportunistic Load Balancing Algorithm allows keeping each node busy. It never considers the current workload of each system. Regardless of the current workload on each of the nodes, OLB distributes all the unfinished tasks to these nodes randomly.
The processing task will be executed slowly as OLB, it doesn’t calculate the implementation timing of the node due to which some bottlenecks arise even when some nodes are free.
Under Minimum To Minimum Load Balancing Algorithms, firstly, those tasks are found which takes minimum completion time. Out of those, a minimum value is selected among all the tasks. As per that minimum time, the task is scheduled on the machine.
Similar to this, the other tasks have been updated on the machine, and the task is then removed from that list. This procedure will continue till the last task is assigned. This Algorithm seems to be the best where many smaller tasks are more than large tasks.
Maximum to Minimum Load Balancing Algorithm is almost same as the previous one. But there is a slight difference in this Algorithm. Here maximum value is selected after searching out the minimum implementation time. After then, as per the maximum period, the task is scheduled on the machine. The execution time of all the tasks are updated and the assigned task is removed from the list.
All these types of Load Balancing discussed above are significant for your nexus of servers. You can choose the best among them after going through all in detail. Do not go with a wrong load balancer, as it may severely affect your system or server and your work will suffer.