A New Approach For Load Balancing In Cloud Computing

Rathore, Rahul; Sharma, Vaibhav; Gola, Kamal Kumar

doi:10.24297/ijct.v13i12.5277

Cited by 5 publications

(6 citation statements)

References 1 publication

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“…Sender, receiver, and symmetric initiation typically represent LB initiation started. The same algorithmic strategies used for static and dynamic LB are shown under system state-based LB [10]- [12]. Tables 2 and 3 shows LB algorithm comparison.…”

Section: Figure 3 Lb Policiesmentioning

confidence: 99%

A survey to build framework for optimize and secure migration and transmission of cloud data

Bathini,

Vurukonda

2024

Bulletin EEI

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In the recent era of computational technologies, the internet is needed daily. The data generated is enormous and primarily stored on dedicated servers or clouds. Data migration and transfer are significant tasks for maintaining consistency and updating data. The data is the most critical component in any cloud service. There are various methods to protect data, like secure transfer, encryption, and authentication. These techniques are used as per need and transmission of the data. As data grows on a server or cloud, it must be migrated securely. Here, the exhaustive survey is provided for building a framework for migrating and transmitting cloud data. The framework should be sustainable and adaptable for load-balancing recovery and secure transmission. Various security load balancing parameters must be considered to obtain these state-of-the-art functionalities in the framework. The existing similar frameworks are studied, and findings are proposed in the paper to develop the framework.

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Section: Figure 3 Lb Policiesmentioning

confidence: 99%

A survey to build framework for optimize and secure migration and transmission of cloud data

Bathini,

Vurukonda

2024

Bulletin EEI

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“…In [13], the paper proposed the Load balancing algorithm to increase Cloud computing's productiveness using a priority queue. The purpose of the priority queue Is to prioritize their affluent users.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Cloud computing is an on-demand service in which shared resources, information, software and other devices are provided according to the client's requirement at a specific time [6]. Cloud computing provides different services such as IAAS (Infrastructure as a Service), PAAS (Platform as a Service), SAAS (Software as a Service), for which users pay a different amount as per their requirement [13]. The demand for cloud computing and its services increased with the developing world.…”

Section: Introductionmentioning

confidence: 99%

Load Balancing in Cloud Computing Empowered with Dynamic Divisible Load Scheduling Method

Ahmad

2021

Research Journal Of Computer Science And Information Technology

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The need to process and dealing with a vast amount of data is increasing with the developing technology. One of the leading promising technology is Cloud Computing, enabling one to accomplish desired goals, leading to performance enhancement. Cloud Computing comes into play with the debate on the growing requirements of data capabilities and storage capacities. Not every organization has the financial resources, infrastructure & human capital, but Cloud Computing offers an affordable infrastructure based on availability, scalability, and cost-efficiency. The Cloud can provide services to clients on-demand, making it the most adapted system for virtual storage, but still, it has some issues not adequately addressed and resolved. One of those issues is that load balancing is a primary challenge, and it is required to balance the traffic on every peer adequately rather than overloading an individual node. This paper provides an intelligent workload management algorithm, which systematically balances traffic and homogeneously allocates the load on every node & prevents overloading, and increases the response time for maximum performance enhancement.

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“…"Ref. [11] ", Computing is done on the basis of service level agreement (SLA). User can avail these services as per their demand.…”

Section: Introductionmentioning

confidence: 99%

Secure: Dynamic Distributed Load Balancing Technique in Cloud Computing

Rathore¹

2018

ijarcs

Self Cite

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Abstract:The increase in demands of information services, cloud computing proves itself to enhance scaling, agility, availability and flexibility. But cloud computing has very critical issues as load balancing, security and fault tolerance. As number of users is increasing day by day, the crucial task of cloud computing is to adjust loads of memory, CPU and network to fulfill demands of all clients. For that a number of static and dynamic load balancing algorithms are proposed. Here we are proposing a load balancing algorithm based on clusters in which cluster are formed on geographical bases. All cloud servers arranged in distributed manner. Each Cloud server have a queue length (for ex. 100) of jobs allocated to it. A server can serve up to 100 requests. As 101 request came cluster apply its load balancing algorithm. Along with Dynamic distributed load balancing algorithm we have proposed a security algorithm to secure data transmission between client and Cloud service provider. According to this security algorithm client initiates a key generation process to generate encryption and decryption key pairs that will be valid for a particular message. Likewise, a number of key pairs generated. Client can use any key pair for any data encryption/decryption which will be stored on Cloud. Also Client have to keep a record of Key Pairs with Password/PIN. This algorithm performs better in terms of Throughput, Overhead, Fault Tolerance, Resource Utilization, Response Time, and Scalability.

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A New Approach For Load Balancing In Cloud Computing

Cited by 5 publications

References 1 publication

A survey to build framework for optimize and secure migration and transmission of cloud data

A survey to build framework for optimize and secure migration and transmission of cloud data

Load Balancing in Cloud Computing Empowered with Dynamic Divisible Load Scheduling Method

Secure: Dynamic Distributed Load Balancing Technique in Cloud Computing

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