Performance Evaluation of Weighted Round Robin Grid Scheduling

Krishnamoorthy, N.; Asokan, R.; Sangeetha, S.

doi:10.5120/11642-7129

Cited by 2 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Krishnamoorthy Et al. had put forward a version of Weighted Round Robin (WRR) of scheduling for the grid environment [6]. The weight of each machine in this WRR is estimated using the number of hops and the bandwidth.…”

Section: : Performance Evaluation Of Weighted Rr In Gridmentioning

confidence: 99%

Enhanced Time Quantum based Round Robin Algorithm for Cloudlet Scheduling in Cloud Environment

D.Gritto¹

2021

TURCOMAT

View full text Add to dashboard Cite

The contemporary organization integrates most of the required resources into their business environment by adopting or leasing the cloud resources that are offered by many of the remote cloud service providers. The cloud computing renders hassle free installation, deployment and maintenance of the resources. The cloud resources and services are observed to be pervasive in nature and therefore efficient technologies are to be adopted in order ensure the effective resource utilization and optimal service delivery to the cloud users. Generally virtualization, optimal scheduling techniques like cloudlet scheduling, virtual machine scheduling and load balancing strategies maximize the resource utilization and service delivery. This paper outlines the foundation concepts of cloud computing and proposes an algorithm named Enhanced Time Quantum based Round Robin Algorithm (ETQRRA). The ETQRRA is proposed to reduce the response time, waiting time, turnaround time and the number of context switching. The result of ETQRRA algorithm is compared with various versions of the existing Round Robin algorithms like Classic Round Robin Algorithm (CRR), Improved Shortest Remaining Burst Round Robin (ISRBRR), Half Life Variable Quantum Time Round Robin (HLVQTRR), Improved Round Robin Varying Quantum (IRRVQ) and Dynamic Time Quantum Round Robin (DTQRR) algorithms to prove the efficiency of ETQRRA. The comparative study shows the performance of ETQRRA outdo the other algorithms taken for the comparison.

show abstract

Section: : Performance Evaluation Of Weighted Rr In Gridmentioning

confidence: 99%

Enhanced Time Quantum based Round Robin Algorithm for Cloudlet Scheduling in Cloud Environment

D.Gritto¹

2021

TURCOMAT

View full text Add to dashboard Cite

show abstract

“…However, the technique failed to manage huge datasets, creating several issues. Several optimization methods (Ratre & Pankajakshan, 2017 ;Dhumane & Prasad, 2017 ;Nipanikar, et al, 2017 ;Shelke & Prasad, 2018 ;Krishnamoorthy & Asokan, 2014) are utilized for privacy preservation to optimize the results.…”

Section: Introductionmentioning

confidence: 99%

A Technique for Securing Big Data Using K-Anonymization With a Hybrid Optimization Algorithm

Madan¹,

Goswami

2021

International Journal of Operations Research and Information Systems

View full text Add to dashboard Cite

The recent techniques built on cloud computing for data processing is scalable and secure, which increasingly attracts the infrastructure to support big data applications. This paper proposes an effective anonymization based privacy preservation model using k-anonymization criteria and Grey wolf-Cat Swarm Optimization (GWCSO) for attaining privacy preservation in big data. The anonymization technique is processed by adapting k- anonymization criteria for duplicating k records from the original database. The proposed GWCSO is developed by integrating Grey Wolf Optimizer (GWO) and Cat Swarm Optimization (CSO) for constructing the k-anonymized database, which reveals only the essential details to the end users by hiding the confidential information. The experimental results of the proposed technique are compared with various existing techniques based on the performance metrics, such as Classification accuracy (CA) and Information loss (IL). The experimental results show that the proposed technique attains an improved CA value of 0.005 and IL value of 0.798, respectively.

show abstract

Performance Evaluation of Weighted Round Robin Grid Scheduling

Cited by 2 publications

References 16 publications

Enhanced Time Quantum based Round Robin Algorithm for Cloudlet Scheduling in Cloud Environment

Enhanced Time Quantum based Round Robin Algorithm for Cloudlet Scheduling in Cloud Environment

A Technique for Securing Big Data Using K-Anonymization With a Hybrid Optimization Algorithm

Contact Info

Product

Resources

About