Analysis and Development of Load Balancing Algorithms in Cloud Computing

This article describes how cloud computing utilizes the benefits of web engineering and its applications by improving the performance and reducing the load on cloud providers. As the cloud is one of the emerging technology in the field of computing, it is used to provide various services to the user through the internet. One of the major concerns in cloud computing is accessibility of cloud. For estimating the availability of cloud, various load balancing algorithms are deployed in data centers of the cloud environment. Load balancing is a technique that distributes a signal load across various computers for optimizing resource usage, reducing response time, etc. There are different load balancing algorithms, for performing the load distribution across various centers. This article analyses different load balancing algorithms and develop a new algorithm for efficient load balancing. The proposed load balancing algorithm utilizes the concepts of web engineering to prioritize the request of end user using parsing technique, which will assign the resources to the end users based on the priority set by the data centers.

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AN ENHANCED TASK ALLOCATION STRATEGY IN CLOUD ENVIRONMENT

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v16i6.6304 ◽

2017 ◽

Vol 16 (6) ◽

pp. 6953-6961

Author(s):

Kavita Redishettywar ◽

Prof. Rafik Juber Thekiya

Keyword(s):

Cloud Computing ◽

Load Balancing ◽

Virtual Machine ◽

Data Centers ◽

Job Scheduling ◽

Virtual Machines ◽

Cloud Environment ◽

Cloud Data ◽

Cloud Data Centers ◽

Load Balancing Algorithm

Cloud computing is a vigorous technology by which a user can get software, application, operating system and hardware as a service without actually possessing it and paying only according to the usage. Cloud Computing is a hot topic of research for the researchers these days. With the rapid growth of Interne technology cloud computing have become main source of computing for small as well big IT companies. In the cloud computing milieu the cloud data centers and the users of the cloud-computing are globally situated, therefore it is a big challenge for cloud data centers to efficiently handle the requests which are coming from millions of users and service them in an efficient manner. Load balancing ensures that no single node will be overloaded and used to distribute workload among multiple nodes. It helps to improve system performance and proper utilization of resources. We propose an improved load balancing algorithm for job scheduling in the cloud environment using K-Means clustering of cloudlets and virtual machines in the cloud environment. All the cloudlets given by the user are divided into 3 clusters depending upon clientâ€™s priority, cost and instruction length of the cloudlet. The virtual machines inside the datacenter hosts are also grouped into multiple clusters depending upon virtual machine capacity in terms of processor, memory, and bandwidth. Sorting is applied at both the ends to reduce the latency. Multiple number of experiments have been conducted by taking different configurations of cloudlets and virtual machine. Various parameters like waiting time, execution time, turnaround time and the usage cost have been computed inside the cloudsim environment to demonstrate the results. Compared with the other job scheduling algorithms, the improved load balancing algorithm can outperform them according to the experimental results.

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Auto-Scaling in the Cloud Environment

Cloud Computing Applications and Techniques for E-Commerce - Advances in Systems Analysis, Software Engineering, and High Performance Computing ◽

10.4018/978-1-7998-1294-4.ch005 ◽

2020 ◽

pp. 84-98

Author(s):

Ravindra Kumar Singh Rajput ◽

Dinesh Goyal

Keyword(s):

Cloud Computing ◽

Load Balancing ◽

The Internet ◽

Data Traffic ◽

Cloud Environment ◽

Software Application ◽

Workload Balancing ◽

Specific Configuration ◽

Using Data ◽

Auto Scaling

Every software application has its own minimum set of requirements like CPU, storage, memory, networking, and power. These have to be integrated into a specific configuration to allow the smooth functioning of the software application. When data traffic becomes higher than expected, higher resources are required. There may not be enough time to provision new resources manually; in such cases, an auto-scaling system is required for managing these situations. Cloud computing means using data, programs, and other resources pooled in the data center and accessed through the internet instead of the user's computer. In the chapter, the authors discussed some aspects related to cloud computing like cloud workload, load balancing, load balancing algorithms, scaling techniques, and auto-scaling to fulfill cloud workload balancing requirements.

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A Proficient Approach for Load Balancing in Cloud Computing-Join Minimum Loaded Queue

International Journal of Information System Modeling and Design ◽

10.4018/ijismd.2020010102 ◽

2020 ◽

Vol 11 (1) ◽

pp. 12-36

Author(s):

Minakshi Sharma ◽

Rajneesh Kumar ◽

Anurag Jain

Keyword(s):

Cloud Computing ◽

Load Balancing ◽

Response Time ◽

Resource Utilization ◽

Cloud Service ◽

Cloud Environment ◽

Cloud Service Provider ◽

Qos Parameters ◽

Load Balancing Algorithm

Cloud load balancing is done to persist the services in the cloud environment along with quality of service (QoS) parameters. An efficient load balancing algorithm should be based on better optimization of these QoS parameters which results in efficient scheduling. Most of the load balancing algorithms which exist consider response time or resource utilization constraints but an efficient algorithm must consider both perspectives from the user side and cloud service provider side. This article presents a load balancing strategy that efficiently allocates tasks to virtualized resources to get maximum resource utilization in minimum response time. The proposed approach, join minimum loaded queue (JMLQ), is based on the existing join idle queue (JIQ) model that has been modified by replacing idle servers in the I-queues with servers having one task in execution list. The results of simulation in CloudSim verify that the proposed approach efficiently maximizes resource utilization by reducing the response time in comparison to its other variants.

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A Survey on Load Balancing Algorithms for Cloud Environment

Journal of Computational and Theoretical Nanoscience ◽

10.1166/jctn.2019.7806 ◽

2019 ◽

Vol 16 (2) ◽

pp. 764-767

Author(s):

P. Chitra ◽

Karthika D. Renuka ◽

K. Senathipathi ◽

S. Deepika ◽

R. Geethamani

Keyword(s):

Cloud Computing ◽

Quality Of Service ◽

Comparative Analysis ◽

Load Balancing ◽

Resource Utilization ◽

The Internet ◽

Cloud Environment ◽

Web Based ◽

Qos Metrics

Cloud computing is the cutting edge technology in the information field to provide services to the users over the internet through web–based tools and applications. One of the major aspects of cloud computing is load balancing. Challenges like Quality of service (QoS) metrics and resource utilization can be improved by balancing the load in cloud environment. Specific scheduling criteria can be applied using load balancing for users prioritization. This paper surveys different load balancing algorithms. The approaches that are existing are discussed and analyzed to provide fair load balancing and also a comparative analysis was presented for the performance of the existing different load balancing schemes.

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Load balancing in Cloud Computing: Issues and Challenges

Turkish Journal of Computer and Mathematics Education (TURCOMAT) ◽

10.17762/turcomat.v12i2.2380 ◽

2021 ◽

Vol 12 (2) ◽

pp. 3224-3231

Author(s):

K. Balaji, Et. al.

Keyword(s):

Cloud Computing ◽

Load Balancing ◽

Load Distribution ◽

Data Centers ◽

Job Scheduling ◽

Virtual Machines ◽

Cloud Services ◽

Cloud Environment ◽

Computing Technology ◽

Load Balancer

The evolution of IT led Cloud computing technology emerge as a new prototype in providing the services to its users on rented basis at any time or place. Considering the flexibility of cloud services, innumerable organizations switched their businesses to the cloud technology by setting up more data centers. Nevertheless, it has become mandatory to provide profitable execution of tasks and appropriate resource utilization. A few approaches were outlined in literature to enhance performance, job scheduling, storage resources, QoS and load distribution. Load balancing concept permits data centers to avert over-loading or under-loading in virtual machines that as such is an issue in cloud computing domain. Consequently, it necessitate the researchers to layout and apply a proper load balancer for cloud environment. The respective study represents a view of problems and threats faced by the current load balancing techniques and make the researchers find more efficient algorithms.

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Load balancing in Cloud Computing: Issues and Challenges

Turkish Journal of Computer and Mathematics Education (TURCOMAT) ◽

10.17762/turcomat.v12i2.2350 ◽

2021 ◽

Vol 12 (2) ◽

pp. 3077-3084

Author(s):

K. Balaji , Et. al.

Keyword(s):

Cloud Computing ◽

Load Balancing ◽

Load Distribution ◽

Data Centers ◽

Job Scheduling ◽

Virtual Machines ◽

Cloud Services ◽

Cloud Environment ◽

Computing Technology ◽

Load Balancer

The evolution of IT led Cloud computing technology emerge as a new prototype in providing the services to its users on rented basis at any time or place. Considering the flexibility of cloud services, innumerable organizations switched their businesses to the cloud technology by setting up more data centers. Nevertheless, it has become mandatory to provide profitable execution of tasks and appropriate resource utilization. A few approaches were outlined in literature to enhance performance, job scheduling, storage resources, QoS and load distribution. Load balancing concept permits data centers to avert over-loading or under-loading in virtual machines that as such is an issue in cloud computing domain. Consequently, it necessitate the researchers to layout and apply a proper load balancer for cloud environment. The respective study represents a view of problems and threats faced by the current load balancing techniques and make the researchers find more efficient algorithms.

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Secure Architecture for Cloud Environment

Cyber Security and Threats ◽

10.4018/978-1-5225-5634-3.ch045 ◽

2018 ◽

pp. 910-925

Author(s):

Kashif Munir ◽

Sellapan Palaniappan

Keyword(s):

Cloud Computing ◽

Data Centers ◽

End Users ◽

Cloud Services ◽

The Internet ◽

Security Threats ◽

Cloud Environment ◽

Cloud Architecture ◽

The World ◽

Secure Architecture

Cloud computing is set of resources and services offered through the internet. Cloud services are delivered from data centers located throughout the world. Enterprises are rapidly adopting cloud services for their businesses, measures need to be developed so that organizations can be assured of security in their businesses and can choose a suitable vendor for their computing needs. In this chapter we identify the most vulnerable security threats/attacks in cloud computing, which will enable both end users and vendors to know about the key security threats associated with cloud computing and propose relevant solution directives to strengthen security in the cloud environment. This chapter also discusses secure cloud architecture for organizations to strengthen the security.

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ENHANCING JOB ALLOCATION USING NBST IN CLOUD ENVIRONMENT: A REVIEW

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v16i3.6182 ◽

2017 ◽

Vol 16 (3) ◽

pp. 6247-6253

Author(s):

Ashima Ashima ◽

Mrs Navjot Jyoti

Keyword(s):

Cloud Computing ◽

Load Balancing ◽

User Satisfaction ◽

Data Centers ◽

Virtual Machines ◽

Efficient Manner ◽

Equal Distribution ◽

Cloud Data ◽

Cloud Data Centers ◽

Load Balancing Algorithm

Cloud computing is a vigorous technology by which a user can get software, application, operating system and hardware as a service without actually possessing it and paying only according to the usage. Cloud Computing is a hot topic of research for the researchers these days. With the rapid growth of Interne technology cloud computing have become main source of computing for small as well big IT companies. In the cloud computing milieu the cloud data centers and the users of the cloud-computing are globally situated, therefore it is a big challenge for cloud data centers to efficiently handle the requests which are coming from millions of users and service them in an efficient manner. Load balancing is a critical aspect that ensures that all the resources and entities are well balanced such that no resource or entity neither is under loaded nor overloaded. The load balancing algorithms can be static or dynamic. Load balancing in this environment means equal distribution of workload across all the nodes. Load balancing provides a way of achieving the proper utilization of resources and better user satisfaction. Hence, use of an appropriate load balancing algorithm is necessary for selecting the virtual machines or servers. This paper focuses on the load balancing algorithm which distributes the incoming jobs among VMs optimally in cloud data centers. In this paper, we have reviewed several existing load balancing mechanisms and we have tried to address the problems associated with them.

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AN IMPLEMENTATION OF LOAD BALANCING ALGORITHM IN CLOUD ENVIRONMENT

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v15i9.739 ◽

2016 ◽

Vol 15 (9) ◽

pp. 7124-7129

Author(s):

Sheenam Kamboj ◽

Mr. Navtej Singh Ghumman

Keyword(s):

Cloud Computing ◽

Load Balancing ◽

Data Storage ◽

Cloud Environment ◽

Computing Paradigm ◽

Share Data ◽

Load Balancing Algorithm

Cloud Computing is an emerging computing paradigm. It aims to share data, calculations, and service transparently overascalable network of nodes. Since Cloud computing stores the data and disseminated resources in the openenvironment.So, the amount of data storage increases quickly. As we know that a cloud is the collection of many nodes,which can support various types of application that is used by the clients on a basis of pay per use. Therefore, the system,which is incurring a cost for the user should function smoothly and should have algorithms that can continue the propersystem functioning even at peak usage. In this paper, a load balancing algorithm has been discussed and implemented inCloudSim environment. Multiple number of experiments have been conducted to analyze the results.

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