Research of the network virtualization effect on the operation of computing clusters
DOI:
https://doi.org/10.15587/1729-4061.2015.36071Keywords:
virtual machine, computing cluster, networking, process tracerAbstract
The paper presents the results of the research of the network environment virtualization effect on the interaction time of the computing cluster nodes. Existing simplified model of the parallel algorithm was supplemented by the parameter of duration of data exchange between the cluster nodes. To assess the resource virtualization effect, two approaches are used: formal evaluation of insertion loss by constructing a mathematical model and direct measurement.
Possible options for interaction between the computing cluster nodes were consistently considered. The main components of the time of delay of interaction between computing nodes were determined. Further, the obtained formulas are detailed using the static-dynamic program analysis provisions.
An instrumental component, which is determined by direct measurement of the packet passage time parameters is a part of the obtained mathematical expressions. It uses a ftrace tracing framework, which has allowed to measure the time of the packet passage between applications inside virtual machines of different physical computing nodes, and between applications that are inside the virtual machines, located on the same physical server.
The above results allow to determine the time limits for performing a set of parallel processes in the virtualized environment. This in turn allows to estimate the appropriateness of transferring some computational problem in a cluster of virtual machines.
References
- Josephs, M. (2005). Models for Data-Flow Sequential Processes. Heidelberg. Lecture Notes in Computer Science. Available at: http://www.bcim.lsbu.ac.uk/ccsv/josephmb/PreprintOfLNCS3525pp85-97.pdf doi: 10.1007/11423348_6
- Kahn, G. (1974). The semantics of a simple language for parallel programming. Princeton University. Available at: http://www.cs.princeton.edu/courses/archive/ fall07/cos595/kahn74.pdf (Last accessed: 01.12.2014).
- Kotov, V. E., Mikloshko, Y. (1982). Algoritmy, matematicheskoe obespechenie i arhitektura mnogoprocessornyh vychislitel'nyh sistem. Moskow: Nauka, 3–77.
- Kljuchev, A., Kustarev, P., Kovjazina, D., Petrov, E. (2009). Programmnoe obespechenie vstroennyh vychislitel'nyh sistem. Sankt-Peterburg: SPbGU ITMO, 212.
- Sergienko, A. (2009). Prostranstvennyj graf sinhronnyh potokov dannyh. Visnyk NTUU «KPI» Informatyka, Upravlinnia Ta Obchysliuvalna Tekhnika, 50, 140–146.
- Treshhev, I. (2007). Matematicheskaja model' gibridnoj vremennoj volnovoj sistemy. Sistemy upravlenija i informacionnye tehnologii, 4 (30), 19–21.
- Gajtan, E. (2011). O vremennom predstavlenii teorii vzaimodejstvujushhih processov Hoara. Matematychni mashyny i systemy, 3, 130–134.
- Husainov, A., Lopatkin, V., Treshhev, I. (2008). Issledovanie matematicheskoj modeli parallel'nyh vychislitel'nyh processov metodami algebraicheskoj topologii. Sibirskij zhurnal industrial'noj matematiki, 11 (1), 141–151.
- Murata, T. (1989). Petri Nets: Properties, Analysis and Applications. Proceedings of the IEEE, 77 (4), 541–580. Available at: http://www.cs.unc.edu/~montek/teaching/spring-04/murata-petrinets.pdf doi: 10.1109/5.24143
- Nielsen, M., Winskel, G. (1993). Models for concurrency. Aarhus: Preprint DAIMI PB-429, 187.
- Voevodin, V. (1986). Matematicheskie modeli i metody v parallel'nyh processah. Moskva: Nauka, 296.
- Gergel', V. (2001). Osnovy parallel'nyh vychislenij dlja mnogoprocessornyh vychislitel'nyh sistem. Irkutskij superkomp'juternyj centr. Available at: http://hpc.icc.ru/documentation/unn/gergel.pdf (Last accessed 01.12.2014).
- Bertsekas, D., Tsitsiklis, J. (2003). Parallel and Distributed Computation: Numerical Methods. Belmont: Athena Scientific, 730.
- Toporkov, V. (2004). Modeli raspredelennyh vychislenij. Moskow: FIZMATLIT, 320.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2015 Віталій Вікторович Нікітченко
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.
