QoS provision in hierarchical and non-hierarchical switch architectures

Cano-Cano, Javier; Andújar, Francisco J.; Alfaro-Cortés, Francisco J.; Sánchez, José L.

doi:10.1016/j.jpdc.2020.10.009

Cited by 4 publications

(1 citation statement)

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“…The service level agreement to maintain the data in the cloud infrastructures plays vital role in business growth, as the agreement demands high level of Quality of Service (QoS) which encompasses the vital parameters of effective resource scheduling, availability of service, reduced response time, high level of throughput and improvised security for the sensitive data stored in the cloud data servers. The Quality of Service [2] is classified into two types namely service provider depending factors and service user depending factors. The effective resource scheduling, response time and throughput [3] were classified under service provider depending factors while the cost of service, scalable efficiency are classified under service user depending factors.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Hybrid Block Chain -vibrant Neighborhood Partile Swarm Optimization (B- Vnpso) Algorithm for Enhancing Qos in Cloud Computing Services

Tamilarasu

Singaravel²

2022

Preprint

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As the digital era has progressed, so has the volume of digital data, making secure storage of this vast amount of data an increasingly important concern for data administrators. Cloud computing and the ease of storing and accessing data attracted a large number of IT professionals and administrators to migrate from physical infrastructure to cloud infrastructure. Cloud computing provides a wide range of services, but its primary functionality is the efficient distribution of resources among the many people who need to use the cloud. Effective resource allocation, decreased response time, and increased resource availability are all benefits of optimising cloud computing Quality of Service (QoS), which also helps to keep user data safe in the cloud infrastructure. Even though many studies have sought a high quality of service (QoS), no success has been found in combining efficient resource sharing with privacy protection. This paper uses Block chain technology and the Vibrant Neighborhood Particle Swarm Optimization (VNPSO) algorithm to overcome the aforementioned challenge of achieving better QoS with high levels of data security. While the Block chain has a reduced parameter, it is highly efficient in protecting cloud network storage data, while the Vibrant Neighborhood Particle Swarm Optimization (VNPSO) algorithm is an improvised version of Particle Swarm Optimization (PSO) and is efficient in resource allocation without any restrictions or boundaries in the neighbourhood available resources. Experimentation shows that the proposed meta-heuristic hybrid algorithm outperforms conventional algorithms in terms of Quality of Service.

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Section: Introductionmentioning

confidence: 99%