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Analysis of distributed systems dynamics with Erlang Performance Lab

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Modern, highly concurrent, and large-scale systems require new methods for design, testing, and monitoring. Their dynamics and scale require real-time tools that provide a holistic view of the whole system and the ability to show a more detailed view when needed. Such tools can help identify the causes of unwanted states, which is hardly possible with a static analysis or metrics-based approach. In this paper, a new tool for the analysis of distributed systems in Erlang is presented. It provides the real-time monitoring of system dynamics on diferent levels of abstraction. The tool has been used for analyzing a large-scale urban trafic simulation system running on a cluster of 20 computing nodes.
Wydawca
Czasopismo
Rocznik
Strony
139--155
Opis fizyczny
Bibliogr. 39 poz., rys., wykr., tab.
Twórcy
autor
  • Erlang Solutions, ul. Batorego 25, 31-135 Krakow, Poland
autor
  • AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland
autor
  • Erlang Solutions, ul. Batorego 25, 31-135 Krakow, Poland
autor
  • Erlang Solutions, ul. Batorego 25, 31-135 Krakow, Poland
autor
  • AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland
autor
  • AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland
Bibliografia
  • [1] Allen J.: Effective Akka . O’Reilly Media, 2013.
  • [2] Apache Ignite. https://ignite.apache.org .
  • [3] Armstrong J.: Programming Erlang: Software for a Concurrent World . The Pragmatic Programmers, LLC, North Carolina, USA, 2013.
  • [4] Basiri A., Behnam N., de Rooij R., Hochstein L., Kosewski L., Reynolds J., Rosenthal C.: Chaos engineering, IEEE Software , vol. 33(3), pp. 35–41, 2016.
  • [5] Byrski A., Kisiel-Dorohinicki M.: Evolutionary Multi-Agent Systems: from inspirations to applications . Studies in Computational Intelligence, vol. 680. Springer, 2017.
  • [6] Cesarini F., Vinoski S.: Designing for Scalability with Erlang/OTP: Implement Robust, Fault-Tolerant Systems , O’Reilly Media, 2016.
  • [7] Elixir. https://elixir-lang.org/ .
  • [8] Erlang. http://www.erlang.org/ .
  • [9] Erlang Port Mapper Daemon. http://erlang.org/doc/man/epmd.html .
  • [10] Erlang Runtime System. http://erlang.org/doc/apps/erts/introduction. html .
  • [11] Erlang Term Storage. http://erlang.org/doc/man/ets.html .
  • [12] Erlang tracer behavior. http://erlang.org/doc/man/erl_tracer.html .
  • [13] escript. http://erlang.org/doc/man/escript.html .
  • [14] Ford N.: Functional Thinking: Paradigm Over Syntax , 1st Edition, O’Reilly Media, 2014.
  • [15] Hazelcast. https://hazelcast.com/ .
  • [16] Herlihy M., Shavit N.: The Art of Multiprocessor Programming , Morgan Kaufmann, 2008.
  • [17] Horanyi G.: Intuition Engineering with Docker. https://medium.com/ @ghoranyi/ , 2016.
  • [18] Infinispan. http://infinispan.org .
  • [19] Isaacs K.E., Giménez A., Jusufi I., Gamblin T., Bhatele A., Schulz M., Hamann B., Bremer P.T.: State of the art of performance visualization. In: Proceedings of the 16th annual Eurographics Conference on Visualization (EuroVis 2014) , 2014.
  • [20] Kamon. http://kamon.io/documentation/kamon-akka/0.6.6/overview/ .
  • [21] Kazirod M., Korczynski W., Fernández E., Byrski A., Kisiel-Dorohinicki M., Topa P., Tyszka J., Komosinski M.: Agent-oriented Foraminifera Habitat Simulation. In: Procedia Computer Science, International Conference on Computational Science, ICCS 2015 , vol. 51, pp. 1062–1071, 2015. https://doi.org/10. 1016/j.procs.2015.05.264 .
  • [22] Lamarche-Perrin R., Schnorr L.M., Vincent J.M., Demazeau Y.: Evaluating trace aggregation for performance visualization of large distributed systems. In: Performance Analysis of Systems and Software (ISPASS), 2014 IEEE International Symposium on , pp. 139–140. IEEE, 2014.
  • [23] Li H., Thompson S.: Multicore profiling for Erlang programs using Percept2. In: Proceedings of the twelfth ACM SIGPLAN workshop on Erlang , pp. 33–42. ACM, 2013.
  • [24] Lightbend intelligent Monitoring. https://www.lightbend.com/platform/ production/intelligent-monitoring.
  • [25] Lisp Flavoured Erlang. http://lfe.io/ .
  • [26] Mnesia. http://erlang.org/doc/man/mnesia.html .
  • [27] Nagel K., Schreckenberg M.: A cellular automaton model for freeway traffic, Journal de Physique I , vol. 2(12), pp. 2221–2229, 1992.
  • [28] Observer tool. http://erlang.org/doc/man/observer.html .
  • [29] PL-Grid. http://www.plgrid.pl/ .
  • [30] React.js. https://facebook.github.io/react/ .
  • [31] Reynolds J., Rosenthal C.: Vizceral Open Source. https://medium. com/netflix-techblog/vizceral-open-source-acc0c32113fe , 2016, Netflix Technology Blog.
  • [32] Rosà A., Chen L.Y., Binder W.: Profiling actor utilization and communication in Akka. In: Proceedings of the 15th International Workshop on Erlang , pp. 24–32. ACM, 2016.
  • [33] Schnorr L.M., Huard G., Navaux P.O.A.: A hierarchical aggregation model to achieve visualization scalability in the analysis of parallel applications, Parallel Computing , vol. 38(3), pp. 91–110, 2012.
  • [34] Slaski M.: Erlang Performance Lab. https://www.youtube.com/watch? v=ncedupb-Rqw , 2017. Slides available at https://speakerdeck.com/ michalslaski/erlang-performance-lab .
  • [35] Tóth M., Bozó I.: Detecting and Visualising Process Relationships in Erlang. In: Procedia Computer Science , vol. 29, pp. 1525–1534, 2014.
  • [36] Turek W.: Erlang-based desynchronized urban traffic simulation for high- performance computing systems, Future Generation Computer Systems , vol. 79, pp. 645–652, 2018. http://dx.doi.org/https://doi.org/10.1016/j.future. 2017.06.003 .
  • [37] Vizceral. https://github.com/Netflix/vizceral .
  • [38] Weisfeld M.: The Object-Oriented Thought Process . Addison Wesley Professional, 2013.
  • [39] WombatOAM. https://www.erlang-solutions.com/products/wombat-oam. html .
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5fe339a0-d3ba-49df-aa72-ec315fb5e414
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