Performance analysis of a rule-based SOA component for real-time applications

In this paper we consider an event based architectural component that may overcome the present reluctance to the use of Service Orientation (SOA) in military distributed real-time environments. In particular, we propose a hybrid architecture component that is decentralised in all respects, making it more reactive to real-time events, as well as being easier to analyse and adapt to changing needs. As centralised scheduling and orchestration of SOA services does not scale to distributed systems, our architecture removes this key inhibitor by distributing the data and control flow to a rule-driven Distributed Real-Time SOA (DRT-SOA) component that resides with each service. Embedded deadline driven task scheduling means each service can now dynamically adjust to changes in process priorities. We also propose a method of analysing the performance of the new architecture using the dynamics of Petri Nets and the guarantees of Real-Time Calculus. We present task level worst case analysis results using the proposed method and also present results obtained from an implementation of the proposed architecture in a naval combat system context.

[1]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[2]  Panos J. Antsaklis,et al.  Special issue on hybrid systems: theory and applications a brief introduction to the theory and applications of hybrid systems , 2000, Proc. IEEE.

[3]  Ernesto Wandeler,et al.  Modular performance analysis and interface based design for embedded real time systems , 2006 .

[4]  Nur Izura Udzir,et al.  Adaptable Decentralized Service Oriented Architecture , 2011, J. Syst. Softw..

[6]  Reggie Davidrajuh A NEW TOOL FOR MODELING AND SIMULATION OF DISCRETE-EVENT SYSTEMS , 2009 .

[7]  Nikil Dutt,et al.  Model-based analysis of event-driven distributed real-time embedded systems , 2009 .

[8]  Christos G. Cassandras,et al.  Introduction to Discrete Event Systems , 1999, The Kluwer International Series on Discrete Event Dynamic Systems.

[9]  Lothar Thiele,et al.  Real-time calculus for scheduling hard real-time systems , 2000, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353).

[10]  Rajib Mall Real-Time Systems: Theory and Practice , 2009 .

[11]  Hermann Kopetz,et al.  Real-time systems , 2011 .

[12]  Nikolay Nikolaev Stoimenov,et al.  Compositional design and analysis of distributed, cyclic, and adaptive embedded real-time systems , 2011 .

[13]  Hans-Arno Jacobsen,et al.  NIÑOS take five: the management infrastructure for distributed event-driven workflows , 2011, DEBS '11.

[14]  Cheng-Shang Chang,et al.  Performance guarantees in communication networks , 2000, Eur. Trans. Telecommun..

[15]  Markus Fidler,et al.  Survey of deterministic and stochastic service curve models in the network calculus , 2009, IEEE Communications Surveys & Tutorials.

[16]  Reggie Davidrajuh,et al.  Designing a new tool for modeling and simulation of discrete-event based systems , 2009 .

[17]  Hermann Kopetz,et al.  Real-time systems , 2018, CSC '73.

[18]  Harold Boley,et al.  The OO jDREW Reference Implementation of RuleML , 2005, RuleML.