Issues and Challenges of Load Balancing Techniques in Cloud Computing

Abstract

With the growth in computing technologies, cloud computing has added a new paradigm to user services that allows accessing Information Technology services on the basis of pay-per-use at any time and any location. Owing to flexibility in cloud services, numerous organizations are shifting their business to the cloud and service providers are establishing more data centers to provide services to users. However, it is essential to provide cost-effective execution of tasks and proper utilization of resources. Several techniques have been reported in the literature to improve performance and resource use based on load balancing, task scheduling, resource management, quality of service, and workload management. Load balancing in the cloud allows data centers to avoid overloading/underloading in virtual machines, which itself is a challenge in the field of cloud computing. Therefore, it becomes a necessity for developers and researchers to design and implement a suitable load balancer for parallel and distributed cloud environments. This survey presents a state-of-the-art review of issues and challenges associated with existing load-balancing techniques for researchers to develop more effective algorithms.

A Comprehensive Study of Load Balancing Approaches in the Cloud Computing Environment and a Novel Fault Tolerance Approach

“…This technique is quick and efficient, but typically the connected servers cannot be found, this leads to inconsistent resource distribution. The biggest problem with this kind of approach is that the actual state of the system is given little consideration to decision making [9]. The natural phenomena-based LB has some kinds of LB techniques such as ant colony algorithm, genetic algorithm, honey bee foraging, artificial bee colony algorithm, hybrid (Ant colony, a honey bee with dynamic feedback), ant colony & complex network LB, osmosis LB algorithm, bee colony optimization algorithm, and LB honey bee foraging.…”

“…Requests spread inside servers in this process so that data can be distributed & processed without waiting. LB is the method of maximizing system performance by moving the device burden [9]. The LB at CC is shown in Figure 4.…”

“…The goal is to provide reliable service, including adequate use of the resource, in the event of a disaster of the portion of any service by supplying & de-provisioning the device instance. In addition, LB is aimed at reducing response time for tasks & increasing resource efficiency, which increases device efficiency at a lower cost [9].…”

“…This includes issues such as (VM) migration, virtual machine security; user QoS comfort & resource use get equal attention to seeking a better solution to improve cloud resource use. Below is a list of a few LB issues and Figure 5 shows the taxonomy of critical LB issues [9]: How then do we use or discharge the cloud's services, only maintaining the same productivity as conventional systems and using the best resource [104]. 9) Energy Management: The benefits of energy management, which advocates cloud use, are the economies of scale.…”

A Load Balancing Algorithm for Mobile Devices in Edge Cloud Computing Environments

“…Load balancing is a fundamental problem in distributed systems and cloud computing environments [1][2][3]. The aim of load balancing is to distribute workloads to a set of reliable servers in the system.…”