Eduard Melnik

A Recovery Method for the Robotic Decentralized Control System with Performance Redundancy

The fault of the robotic control system is critical and leads to the general system failure, while autonomous robots have to gain their aims without any maintenance. Contemporary academic studies propose decentralized control systems as prospective from the robustness point of view. On the other hand, a performance redundancy allows to optimize resource utilization and improve the fault-tolerance potential of the control system. This paper is devoted to the recovery method of the robotic decentralized control system with performance redundancy. A reconfiguration problem has been formalized, decentralized method of the solution obtaining is represented. Also some simulation results are given and discussed.

A novel approach to fault tolerant information and control system design

Design and construction of information and control systems (ICSs) for objects where failure would be critical is an important scientific problem. Such ICSs require both fault tolerance and survivability. Common methods and facilities for addressing fault tolerance do not use the capabilities of modern telecommunications equipment. In this paper, we present an integrated approach that allows to level up the fault-tolerance of an ICS, and requires new methods and algorithms for the reconfiguring procedure. The problem of defining the configuration is formalised, and results of an experimental study of the effectiveness of asynchronous parallel simulated annealing are presented and discussed.

System Reconfiguration Using Multiagent Cooperative Principles

The paper is devoted to the problem of fault-tolerant informational and control systems (ICSs) design. The class of ICSs for the hazardous objects with the criticality of error is considered. An approach to the fault-tolerant ICS design is based on performance redundancy and decentralized monitoring and control. It increases the fault-tolerant possibilities of the system, but requires the design and development of new models, methods and algorithms of system recovery. A new model of the reconfiguration problem and the problem solving algorithm based on cooperative principles of multiagent systems are given. Also some simulation results are represented and discussed briefly.

The parallel simulated annealing-based reconfiguration speedup algorithm for the real time distributed control system fault-tolerance providing

In this paper enhanced algorithm for the real time distributed control system fault-tolerance providing is presented. The algorithm is developed having the parallel simulated annealing technique as a base with the accent on the quenching temperature schemes. The combination of the parallel multistart technique and chosen temperature scheme allows to speed up to acquire the solution with the adequate quality. This provides system configurations in the acceptable time periods.

Reconfigurable Distributed Information and Control System Multiagent Management Approach

The paper is devoted to the fully distributed reconfigurable information and control system management implemented by multiagent concept. The key issues of ICS management related to the system reliability and fault-tolerance are outlined. The new configuration forming problem is presented, and the new problem-oriented solving approach is given. The reconfigurable distributed information and control system multiagent management approach is a complex one: it is based on robust distributed algorithms and the new approach of the configuration forming. The simulation results are given and discussed briefly.

Informational and control system configuration generation problem with load-balancing optimization

This paper is devoted to the informational and control systems (ICSs) configuration generation problem. A set of configurations for the ICSs with performance redundancy is developed on system design stage. The problem is multicriteria with respect to key ICS design issues, including graceful system degradation, tasks relocation, etc. Within this paper the load-balancing criterion is added due to its influence onto the gamma-percentile operating time to failure. Then the solutions of the resulting multiobjective problem are evaluated and compared, and some conclusions are made.

Improving Dependability of Reconfigurable Robotic Control System

The robotic information and control systems based on performance redundancy and decentralized dispatching concepts are fault-tolerant and have a high potential in the dependability aspect. The paper deals with a dependability improvement through the configuration forming. As the load balancing improves the reliability function, the quality criteria of system configurations relates to load balancing. Configuration forming is a multicriteria and multiconstraint problem. The proposed approach is to replace monitoring and control tasks relocation criterion by delegating of task context distribution to the software components of the system. The paper contains a new simplified model of the configuration forming problem, the dependability improvement approach and simulation results being discussed briefly.

FPGA-based approach for organization of SDN switch

In this paper authors present a new method to organize hardware search in the tables of rules in the software defined network (SDN) switch. This paper describes the design features of modern SDNs based on open standard OpenFlow, main problems of modern OpenFlow switches, and proposes a new approach for building hardware search based on field-programmable gate arrays (FPGAs). The proposed method allows searching by mask in all bits of the header of incoming packages and therefore to expand usability of the SDNs.

Fault-tolerant architecture for the hazardous object information control systems

In the article the question of building information control system with fault-tolerant architecture is considered. It is proposed to ensure fault tolerance by combining methods of performance reserve and distributed(decentralized) dispatching. An example of the reconfiguration of the system built on the basis of the proposed architecture is also considered.

A Recovery Technique for the Fog-Computing-Based Information and Control Systems

The current paper deals with the dependability issue of the fog-computing-based information and control systems (ICS). Comparing with the traditional, “cloud” ICS architectures, fog-computing paradigm brings the possibility to distribute the workload not only among the central computational units (CU), but to shift it to the fog-layer and edge-devices of the ICS infrastructure. This allows to reconfigure ICS in case of CU failure such as to maximize the CU reliability function value by workload shift to the edge of the network. In this paper the new recovery technique for the fog-computing-based ICSs is presented and discussed. The technique is based on the simplified models of the workload distribution in the fog-computing-based systems. Besides, some important conclusions are made and selected simulation results are presented.