Various Load Balancing Techniques in Cloud Computing

Cloud computing is emerging as a new paradigm for manipulating, configuring, and accessing large scale distributed computing applications over the network. Load balancing is one of the main Challenges in cloud computing which is required to distribute the workload evenly across all the nodes. Load is a measure of the amount of work that a computation system performs which can be classified as CPU load, network load, memory capacity and storage capacity. It helps to achieve a high user satisfaction and resource utilization ratio by ensuring an efficient and fair allocation of every computing resource. Proper load balancing aids in implementing fail-over, enabling scalability, over-provisioning, minimizing resource consumption and avoiding bottlenecks etc. This paper describes a survey on load balancing algorithms in cloud computing environment along with their corresponding advantages, disadvantages and performance metrics are discussed in detail.

Nowadays, Cloud computing has become buzzword in the Information Technology and is a next stage in the evolution of Internet, It provides very large amount of computing and storage services to users through the internet. Load Balancing is important for essential operations in cloud virtual environments. As cloud computing has been growing rapidly and many clients all over the world are demanding more services and better results, so load balancing is an essential and important research area. Many algorithms have developed for allocating client's requests to available remote nodes. Efficient load balancing ensures efficient resource utilization of resources to customers on demand basis and enhanced the overall performance of the Cloud. This paper is a brief discussion on the existing load balancing techniques in cloud computing and further compares them based on various parameters like data processing time and response time etc. The paper analyzes the result based on existing Round Robin and Throttled scheduling algorithms.

Lecture Notes in Electrical Engineering

Cloud computing has become essential technology in industrial and research use. IaaS, SaaS, and PaaS are the three main services which are delivered by cloud computing [1]. But the entire services are being provided with the help of virtualization over the Internet. Cloud computing becomes more popular for the users as well as for industries and continues to expand its arms [2]. The main challenging area in cloud computing is security issue, data center energy consumption, scheduling of resources, performance monitoring, efficient load balancing, and deadlock for resources availability. Load balancing is one of these problems, which plays a vital role in cloud computing. Load balance is a process for improving the throughput and the performance by assigning and reassigning the load among the available resources. "On-demand services concept" in cloud is a concept of paid services in which the user has to pay a bill amount to service provider for accessing on-demand services. Hence, reducing execution time of tasks in a cloud is a problem of interest. In cloud computing environment, virtual machine is known as processing unit, and all VMs can concurrently execute various tasks. Therefore, there is a need of proper scheduling strategy to schedule tasks into available VMs in such a manner that all the resources

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2023

Cloud computing has transformed user services by introducing a new model that allows for pay-per-use access to information technology services at any time and from any location. Numerous businesses are moving their operations to the cloud as a result of the flexibility offered by cloud services, and additional data centers are being set up by service providers to provide users with services. However, it is essential to ensure efficient resource utilization and cost-effective task execution. Based on load balancing, task scheduling, resource management, quality of service, and workload management, several methods to improve performance and resource use have been reported in the literature. Data centers can use load balancing in the cloud to prevent virtual machines from being overloaded or under loaded, which is a problem in and of itself in cloud computing. As a result, developers and researchers must develop and implement a suitable load balancer for distributed and parallel cloud environments. In order for researchers to develop algorithms that are more effective, this survey provides a cutting-edge review of issues and obstacles associated with existing load-balancing methods.

2015

Cloud Computing is emerging technology and it is gaining wide popularity because of its features. In cloud computing the services provided such as hardware, software and platform. These services are provided according to the user requirement. Load balancing is another Key challenge in cloud computing. In this paper, we have surveyed Load balancing challenges, techniques and different comparison metrics in cloud computing. In cloud computing the goal of load balancing is to distribute dynamic load among nodes to increase resource utilization and satisfy customer requirement.

Load Balancing is one of the most significant concepts in distributed environments. As Cloud Computing is considered to be one of the best platforms that gives storage of data at a minimal cost and is accessible all the time over the internet, load balancing for the cloud computing has turned into a very interesting and important study area. Load balancing aims at high user satisfaction and usage of resource ratio by guaranteeing a proficient and reasonable allocation of each computing resource. There are numerous difficulties in load balancing techniques such as security, fault tolerance etc which are prevalent in modern cloud computing environments. Many researchers have proposed several techniques to enhance load balancing and this paper too, portrays an overview on load balancing schemes in cloud environments. We explore the diverse types of algorithms that are proposed by a number of researchers to solve the problem of load balancing in cloud computing.

—These days, the organization knows that the power is being consumed by the unutilized Resources that is why the local cloud is becoming very popular. An essential requirement for cloud environments is not only the reduction in power consumption but also focus is also laid on decreasing the operating cost and improve the reliability of the system. The energy-aware computing makes the algorithms run faster and also reduce the computing energy requirements. This paper includes the existing techniques for balancing the load in cloud computing and their comparision on the basis of various parameters like performance, overhead, scalability etc.

Eighth Sense Research Group

ABSTRACT Cloud computing is overtaking the existing conventional methods of computation and communication over the network. The entire Internet community is often lured by a new paradigm that provides a great level of availability and security with nominal usage charges. Cloud computing, in this perspective, is an important way of disseminating information and providing computational capabilities over the network. The amount of data being stored and the services being provided are increasing at a very fast rate which, in turn, demands greater storage and computing hardware. With a huge number of requests in the form of load to the servers, load balancing becomes an important issue in cloud computing. The aim here is to distribute the load amongst the available nodes in such a way that no single node is flooded with requests, while some other node is lightly loaded. The prevalent scheduling algorithms have been addressing this issue by making use of job scheduling and resource provisioning strategies efficiently. This paper discusses the popular load balancing algorithms, along with the challenges faced. Keywords:- Cloud computing, Virtualization, Software as a Service, Public cloud, Utility computing, Private cloud, Virtual machine, Starvation.

IJSRD, 2014

In modern days cloud computing is one of the greatest platform which provides storage of data in very lower cost and available for all time over the internet. But the cloud computing has more critical issue like security, load balancing and fault tolerance ability. In this paper we are focusing on Load Balancing approach. The Load balancing is the process of distributing load over the different nodes which provides good resource utilization when nodes are overloaded with job. Load balancing is required to handle the load when one node is overloaded. When the node is overloaded at that time load is distributed over the other ideal nodes. Many load balancing algorithms are available for load balancing like Static load balancing and Dynamic load balancing.

International Journal of Advanced Trends in Computer Science and Engineering, 2021

The Internet has become a fundamental necessity of daily activity. It has a more significant impact on modernizing the digital world. Therefore, cloud computing has been one of the most promising technological advances in recent days. It aims to provide millions of consumers around the globe with smooth computing services. In workload distributions and system behavior, the cloud environment is extremely dynamic, leading to load imbalances across data center resources. Balancing load across the systems is a crucial component of cloud computing, avoiding some nodes' overloading while others have little or no work to do. The problem of load balancing in the cloud has been linked to a large amount of research, recognizing its role and impact. This paper bestows a thorough investigation of the new load balancing algorithms for the cloud environment. This study's primary focus is the concept of load balancing, a literature review on load balancing and task scheduling techniques, and different measurement parameters.

— now a day, the resources in the organization uses the power and consumes it by the unutilized Resources that are why the local cloud is becoming very popular. The requirement for cloud environments is not the reduction in consumption of the power only but also the requirement is to decrease the operating cost and improve the reliability of the system. Load balancing provides user satisfaction and also the ratio of resource utilization ratio after ensuring the allocation and efficiency of every resource being computed. This paper includes the various techniques existing for balancing the load in a cloud and their comparison on the basis of various parameters like performance, overhead, scalability etc.

The present era has witnessed tremendous growth of the internet and various applications that are running over it. Cloud computing is the internet based technology, emphasizing its utility and follows pay-as-you-go model, hence became so popular with high demanding features. Load balancing is one of the interesting and prominent research topics in cloud computing, which has gained a large attention recently. Users are demanding more services with better results. Many algorithms and approaches are proposed by various researchers throughout the world, with the aim of balancing the overall workload among given nodes, while attaining the maximum throughput and minimum time. In this paper, various proposed algorithms addressing the issue of load balancing in Cloud Computing are analyzed and compared to provide a gist of the latest approaches in this research area.

IRJET, 2022

Cloud Computing is a recent developmental paradigm in the field of computing offering huge power to next-generation computers. The dynamic provisioning acts as a base for cloud computing facilitating and supporting the network services. It focuses on making the vision of utility computing a reality with pay-as-you-go. It offers immense potential to bloom the world with applications and products focusing on greater resource utilization and scalability. This paper presents the survey on the basics of cloud computing, the concepts of load balancing, and the scheduling of tasks in the cloud. It elaborates on the existing load scheduling algorithms with their merits and demerits, suitability in the cloud, heterogeneous computing environment, and proposes a new perspective for better results as per desired parameters.