Monitoring of a Cloud-Based Environment for Resilient Telecommunication Services

• Autorzy: Wilczewski G.
• Języki publikacji: EN

Abstrakty

EN

This article depicts insights and in-depth presentation of a new tool, specifically designed for Data Center resources monitoring purpose. It enables physical and virtual resources monitoring and is capable of performing advanced analysis on the resulting, measured data. Here in presented are exemplary scenarios conducted over the proprietary Data Center unit, delivering specific information on the behavior of the analyzed environment. Presented results create a base layer for a high level resiliency analysis of telecommunication services.

Słowa kluczowe

EN

cloud computing; Data Center; resiliency; resource monitoring

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2016
• Tom: nr 1
• Strony: 16--21
• Opis fizyczny: Bibliogr. 8 poz., rys., tab.

Twórcy

autor

Wilczewski G.

• Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska st 15/19, 00-665 Warsaw

Bibliografia

• [1] G. Wilczewski, „Analysis of content quality evaluation within 3DTV service distribution systems", J. Telecommun. Inform. Technol. (JTIT), no. 1, pp. 16-20, 2014.
• [2] G. Wilczewski, „Utilization of the software-defined networking approach in a model of a 3DTV service", J. Telecommun. Inform. Technol. (JTIT), no. 1, pp. 32-36, 2015.
• [3] S. Musman and S. Agbolosu-Amison, „A measurable definition of resiliency using mission risk as a metric", Mitre Tech. Rep., McLean, VA, 2014.
• [4] Y. H. Khalil, A. Elmaghraby, and A. Kumar, „Evaluation of resilience for data center systems", in Proc. IEEE Symp. Comp. Commun. ISCC'08, Marrakech, Morocco, 2008, pp. 340-345.
• [5] Riverbed Migration Mitigation, The Complete Data Center Consolidation Guide, Corporate Whitepaper, 2012.
• [6] Cisco Data Center Solution Brief, Mitigate Risk for Data Center Network Migration, Corporate Whitepaper, 2014.
• [7] R. Nasiri and S. Hosseini, „A case study for a novel framework for cloud testing", in Proc. 11th Int. Conf. Electron., Comp. Comput. ICECCO 2014, Abuja, Nigeria, 2014, pp. 52-56 (doi: 10.1109/ICECCO.2014.6997566)
• [8] D. Agarwal and S. K. Prasad, „AzureBench: Benchmarking the storage services of the azure cloud platform", in Proc. IEEE 26th Int. Parallel and Distrib. Process. Symp. Worksh. & PhD Forum IPDPSW 2012, Shanghai, China, 2012, pp. 1048-1057.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.