Network architecture of the calibration benchof thermal imaging and spectral devicesfor monitoring high-temperature synthesis of materials

The work is devoted to changing the structure of the software of the temperature calibration stand for organizing interaction with networked intelligent devices for spectral and thermal imaging control. On the basis of.Net technology and the C # programming language, a network service of the PSH-2035 source was created, which controls the current of the TRU-1100-2350 model temperature lamp. The service translates network messages with temperature values ​​in ASCII commands of the source with the corresponding lampcurrent level and sends them for execution via the RS-232 interface. The reverse conversion allows the network client to obtain information about the current state of the lamp. The transfer of messages between the network service and the client is carried out using a unique protocol based on TCPtransport. The server side of the software uses the MySQL DBMS as an operator for a structured storage of batch jobs and a temperature lampoperation log, synchronizes its own computing platform with the world time system via the NTPprotocol and provides a GUID to a calibrated smart device for consistent identification of records in specialized databases. The stand software supports the multicast protocol for the simultaneous calibration of several devices.

QoS Correlation-based Service Composition Algorithm for Multi-constraint Optimal Path

With the development of network service integration, in order to obtain a better quality of service (QoS) guarantee, In this Paper,We consider the characteristics of integrated network service composition and correlation, this paper proposes a approximate algorithm based on multi-constraint optimal path selection (MCOPS). We analyses the QoS correlation criteria, correlation ratios, and Skyline algorithms to calculate the optimal path by dynamic programming, record the path nodes, and obtain the optimal service composition path that meets the user's demand. Simulation results demonstrate the good performance of the proposed algorithm in both the average calculation time and the solution path quality.