Abstract
The exponentially extensive and emerging expansion of the cloud computing network (CCN) and its prolific application result in an ample number of users/clients. The frugal superintend of the client’s requests for resources is troublesome due to a precise number of resources and to actualize the engrossment of Quality of Service (QOS). In aisle to achieve QOS, it is mandatory to maximize the efficiency and reliability of CNN resources. The zero-ground affair is to find an efficient load balancing (LB) algorithm (LBA) that obliged to parcel out data traffic amidst multitudinous resources. Here, in this paper, a multitudinous proposed scheme for QOS has been analyzed.
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References
Batista BG, Ferreira CHG, Segura DCM, Leite Filho DM, Peixoto MLM (2017) A QoS-driven approach for cloud computing addressing attributes of performance and security. Future Gener Comput Syst 68:260–267
Barba-Jimenez C, Ramirez-Velarde R, Tchernykh A, Rodríguez-Dagnino R, Nolazco-Flores J, Perez-Cazares R (2016) Cloud based video-on-demand service model ensuring quality of service and scalability. J Netw Comput Appl 70(10)
Kalekuri M, Rao KR (2016) Environment quality of service in cloud. In: 7th international conference on communication, computing and virtualization 2016, procedia computer science, vol 79, pp 118–126
Guérout T, Gaoua Y, Artigues C, Da Costa G, Lopez P, Monteil T (2017) Mixed integer linear programming for quality of service optimization in Clouds. Future Gener Comput Syst 71(1)
Singh S, Chana I (2015) Q-aware: quality of service-based cloud resource provisioning. Comput Electr Eng 47:138–160
Abdelmaboud A, Jawawi DNA, Ghani I, Elsafi A, Kitchenham B (2015) Quality of service approaches in cloud computing: a systematic mapping study. J Syst Softw 101:159–179
Karakus M, Durresi A (2017) Quality of Service (QoS) in software defined networking (SDN): a survey. J Netw Comput Appl 80:200–218
Razaque A, Rizvi SS, Khan MJ, Hani QB, Dichter JP, Parizi RM (2017) Secure and quality-of-service supported service-oriented architecture for mobile cloud handoff process. Comput Secur 66:169–184
Adami D (2012) A hybrid multidimensional algorithm for network-aware resource scheduling in cloud and grid. In: IEEE ICC communication QoS, reliability and modelling symposium
Li J (2012) Profit-based experimental analysis of iaas cloud performance: impact of software resource allocation. In: IEEE ninth international conference on services computing
Delimitrou C (2013) QoS-aware admission control in heterogeneous datacenters. In: International conference on autonomic computing
Konstantel K (2012) Admission control for elastic cloud services. In: IEEE fifth international conference on cloud computing
Xiong P (2011) ActiveSLA: a profit-oriented admission control framework for database-as-a-service providers. In: Proceedings of the 2nd ACM symposium on cloud computing
Alhamazani K (2012) Cloud monitoring for optimizing the QoS of hosted applications. In: IEEE 4th international conference on cloud computing technology and science
Ma K (2012) Toward a lightweight framework for monitoring public clouds. In: Fourth international conference on computational aspects of social networks (Cason)
An OpenNetInf-based cloud computing solution for cross-layer QoS: monitoring part using iOS terminals, IEEE, 2012
Aazam M (2014) Advance resource reservation and QoS based refunding in cloud federation. In: Workshop—cloud computing systems, networks, and applications
On the optimal allocation of virtual resources in cloud computing networks. IEEE transactions on computers, vol. 62, 2013
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Azmat, T., Dwivedi, V.K. (2020). An Overview of Quality of Service with Load Balancing in Cloud Computing Environment. In: Giri, V., Verma, N., Patel, R., Singh, V. (eds) Computing Algorithms with Applications in Engineering. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-2369-4_6
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DOI: https://doi.org/10.1007/978-981-15-2369-4_6
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