Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 2

Liczba wyników na stronie
first rewind previous Strona / 1 next fast forward last
Wyniki wyszukiwania
Wyszukiwano:
w słowach kluczowych:  bufor pierścieniowy
help Sortuj według:

help Ogranicz wyniki do:
first rewind previous Strona / 1 next fast forward last
EN
High-Throughput Data Acquisition Systems are an essential part in many scientific experiments, and the processing of the large amount of data, represents a challenge in designing systems capable of managing such volume of data. Owing to the nature of this type of experiments, the processes responsible for gathering the data from devices that measure real-world phenomena, and those processes in charge of distributing the data to monitoring and/or controlling systems, shall communicate with accuracy and reliability. By running those processes concurrently in a multi-processor computer system, such requirements of accuracy and reliability can be achieved. In this paper, we present the design of a C++ framework, which implements a ring-buffer by using shared-memory as a fast mechanism of data communication among processes. Likewise, the framework controls the access to data in the shared ring-buffer by implementing inter-process synchronization objects in shared-memory. The effectiveness of the proposed solution has been evaluated by evaluating the latency time from when a new data is written into the shared ring-buffer and the longest instant when such a data is gathered. After the experimental test, the results show that it is possible to develop a C++ framework for helping programmers to create data acquisition system when a high-throughput data-stream is involved, getting suitable performance by using shared-memory.
EN
The data acquisition systems must be capable of process all the data produced by the source to ensure the highest level of accuracy, especially when it deals with hard real-time system monitoring task. However, the production of data is faster than the process to acquire and to process such a data. Using concurrency approach is an alternative to obtain the required level of performance and data processing. This paper presents the comparison between various C++ frameworks that by using multithreading technology and ringbuffer data structure allow data transfer in concurrent way. The comparison is based on the time interval between the instant when data is published and the instant when the data is gathered. These latency measurements have been taken using the configuration of one producer and two consumers for all evaluated frameworks. The results show that using standard C++ libraries to develop a simple framework it is possible to achieve suitable performance in order to fulfill the requirements of the high performance data acquisition systems described.
first rewind previous Strona / 1 next fast forward last
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.