An In-depth Analysis and Study of Load Balancing Techniques in the Cloud Computing Environment

Abstract

In the cloud computing paradigm, load balancing is one of the challenges, With Tremendous increase in the users and their demand of different services on the cloud computing platform, fruitful or efficient usage of resources in the cloud environment became a critical concern. Load balancing is playing a vital role in maintaining the rhythm of Cloud computing. The performance metrics of load balancing algorithms in cloud are response time and waiting time. In this paper we mainly focus on two load balancing algorithms in cloud, Min-Min and Max-Min algorithm.

Optimal load distribution for multiple classes of applications on heterogeneous servers with variable speeds

“…Gasior and Seredynski proposed a novel approach to dynamic load balancing in cloud computing systems based on the phenomena of self‐organization in a game theoretical spatially generalized prisoner's dilemma model defined on the 2‐dimensional cellular automata space . Gopinath and Vasudevan focused on 2 load balancing algorithms in cloud, ie, Min‐Min and Max‐Min, to minimize the response time and the waiting time . Grover and Katiyar used an agent‐based dynamic load balancing approach that greatly reduces the communication cost of servers, accelerates the rate of load balancing, and improves the throughput and the response time of the cloud .…”

An insight to load balancing in cloud computing technology

“…whether the resource is fully available until task completion or is available on sharing basis) [3].\ The efficient task and resource scheduling mechanisms will ensure: 1) There should not be bottlenecks under the resources, so that they are easily available on demand 2)…”

“…The execution time of all other tasks is updated on that machine and task gets discarded from the list of tasks. Then, again the same process is repeated until all the tasks are assigned on the resources [3]. The advantage of this algorithm is that it is a simple and fast algorithm.…”

“…It is also one of the static load balancing algorithms [3]. It is basically same as MinMin algorithm, where the maximum time jobs are selected.…”

Avaliação de Algoritmos de Balanceamento de Carga para Ambientes em Nuvem

“…A imprevisibilidade e constante mudança de comportamento na computação em nuvem, aliadoà possibilidade de oferecer ao cliente a maior satisfação possível com relaçãò a prestação de um serviço serve como fato de demonstra-ção da importância do balanceamento de carga [7]. Desta forma, ele pode ser descrito como o responsável por fazer os recursos trabalharem corretamente independente da carga aplicada sobre o ambiente.…”