Abstract
Workload characterization is a well-established discipline, which finds its applications in performance evaluation of modern Internet services. With the high degree of popularity of the Internet, there is a huge variation in the intensity of workload and this opens up new challenging performance issues to be addressed. Internet Services are subject to huge variations in demand, with bursts coinciding with the times that the service has the most value. Apart from these flash crowds, sites are also subject to denial-of-service (DoS) attacks that can knock a service out of commission. The paper aims to study the effect of various workload distributions with the service architecture ‘thread-per-connection’ in use as a basis. The source model is structured as a sequence of activities with equal execution time requirement with an additional load time of page (loading embedded objects, images, etc.). The threads are allocated to the requests in the queue; leftover requests if any are denied service. The rejection rate is used as a criterion for evaluation of the performance of the system with a given capacity. The proposed model could form a basis for various system models to be integrated into the system and get its performance metrics (i.e. QoS) evaluated.
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References
Calzarossa MC, Massari L, Tessera D (2016) Workload characterization: a survey. ACM Comput Surv (CSUR) 48(3):48
Galletta DF, Henry R, Mccoy S, Polak P (2004) Web site delays: how tolerant are users. J Assoc Inform Syst pp 1–28
Goncalves MA, Almeida JM, dos Santos LG, Laender AH, Almeida V (2010) On popularity in the blogosphere. IEEE Internet Comput 14(3):42–49
Gusella R (1991) Characterizing the variability of arrival processes with indexes of dispersion. IEEE J Sel Areas Commun 9(2):203–211
Gunther NJ (2001) Performance and scalability models for a hypergrowth e-commerce web site. In: Performance engineering, state of the art and current trends. Springer, London, UK, pp 267–282
Levene M, Borges J, Loizou G (2001) Zipfs law for web surfers. Knowl Inf Syst 3(1):120–129
Menasce D, Almeida V, Riedi R, Ribeiro F, Fonseca R, Meira W Jr (2000) In search of invariants for e-business workloads. In: EC 00: proceedings of the 2nd ACM conference on electronic commerce, New York, NY, USA. ACM, pp. 56–65
Mi N, Casale G, Cherkasova L, Smirni E (2008) Burstiness in multi-tier applications: symptoms, causes, and new models. In: Middleware 08Proceedings of the 9th ACM/IFIP/USENIX international conference on middleware, New York, NY, USA. Springer, New York, Inc., pp 265–286
Harini N, Padmanabhan TR (2012) A secured-concurrent available architecture for improving performance of web services. In: Communications in computer and information science, vol 292, no 1. Springer, pp 621–631
Harini N, Padmanabhan TR (2013) Admission control and request scheduling for secured-concurrent-available architecture. Int J Comput Appl 63(6):24–30
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Abirami, K., Harini, N., Vaidhyesh, P.S., Kumar, P. (2019). Analysis of Web Workload on QoS to Assist Capacity. In: Pandian, D., Fernando, X., Baig, Z., Shi, F. (eds) Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB). ISMAC 2018. Lecture Notes in Computational Vision and Biomechanics, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-00665-5_57
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DOI: https://doi.org/10.1007/978-3-030-00665-5_57
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