Research Article

WORKLOAD CHARACTERIZATION OF TELECOM SOFTWARE

Volume: 8 Number: 1 March 5, 2020
  • Osman Ferit Ünlü
  • Pınar Bölük
EN TR

WORKLOAD CHARACTERIZATION OF TELECOM SOFTWARE

Abstract

Telecom software systems are a major aspect of telecommunications networks used for managing, administrating, auditing and monitoring purposes. One of the most significant features is the performance of the telecom software system, since there is a great variety of network elements in use within built systems through which the telecom software interacts. Workload characterization is an essential methodology for simulating load usage for a given infrastructure that is exposed to a production environment. Hence, exploring the characteristics of workloads well leads an increase on system efficiency and performance. Nevertheless, workload characterization has not been well examined yet for Telecom Software System. In this paper, a new workload characterization architecture is proposed and implemented to model the workload and simulate the behavior of the network element. This architecture provides information regarding the accuracy of the workload models for more precise performance testing. Additionally, we verify our workload characterization results obtained from our architecture in a real software system. Performance results show that proposed workload model-based simulation environment is promising to predict the performance of the software systems.

Keywords

References

  1. Almeida, V., Fonseca R., Menasce, D.A., Mendes M.A., 1999. A Methodology for Workload Characterization of E-commerce Sites. In ACM Conference on Electronic Commerce.
  2. Amrehn, E., Busch A., Kounev S., Koziolek A., Noorshams Q., Reussner R., Jan. 2015. Automated work-load characterization for i/o performance analysis in virtualized environments. In Proc. of the 6th ACM/SPEC International Conference on Performance Engineering, pp. 265-276.
  3. Avritzer, A., Kondek J., D. Liu., July 2002. Software performance testing based on workload characterization.Proceedings of the 3rd international workshop on Software and performance.
  4. Calzarossa M.C., Luisa M., Tessera D. 2016. Workload Characterization: A Survey Revisited. ACM Computing Surveys, Vol. 48, No. 3, Article 48.
  5. Casalicchio E., Iannucci S., Silvestri L., Mar. 2015. Cloud desktop workload: A characterization study. In IEEE International Conference on Cloud Engineering (IC2E). IEEE, pp. 66-75.
  6. Celik, I., Gunaydın M., Resber C., Sonmez O., Tasdemir B., Unlu O.F. 2015.Network Element Simulation Based On Log Files. ICCIT Conference.
  7. Curiel, M., Pont A., January 2018. Workload Generators for Web-Based Systems: Characteristics, Current Status and Challenges. In IEEE Communication Surveys & Tutorials.
  8. Daniel, V., Mahmoud A., November 3-5 2015. Automated Workload Characterization Using System Log Analysis. In Computer Measurement Group Conf., San Antonio. Feitelson, D. G., Rudolph L., May 1996. Evaluation of design choices for gang scheduling using distributed hierarchical control. J. Parallel & Distributed Comput. 35(1), pp. 18-34, DOI:10.1006/jpdc.1996.0064.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Osman Ferit Ünlü This is me
Türkiye

Pınar Bölük This is me
0000-0001-8274-8423
Türkiye

Publication Date

March 5, 2020

Submission Date

March 1, 2019

Acceptance Date

July 30, 2019

Published in Issue

Year 2020 Volume: 8 Number: 1

IEEE
[1]O. F. Ünlü and P. Bölük, “WORKLOAD CHARACTERIZATION OF TELECOM SOFTWARE”, KONJES, vol. 8, no. 1, pp. 151–163, Mar. 2020, doi: 10.36306/konjes.698708.