This paper discusses the challenges of publishing Persian linked data based on an experience of publishing some academic data from Ferdowsi University of Mashhad dataset. By analyzing the experimental results of the project and classifying the problems, some publisher-oriented solutions are proposed to improve the quality of datasets on the web.
The problem of mutual exclusion has to be solved to prevent race condition and, as a result, prevent the possibility of a program producing an incorrect result. Providing deadlock-free distributed mutual exclusion algorithms is often difficult and it involves passing many messages. The two major types of these algorithms are token-based and permission-based algorithms. In this research, we propose a hybrid distributed mutual exclusion algorithm. By Hybrid, we mean that the algorithm uses both token-based and permission-based techniques. The best case and worst case number of messages passed for every critical region entry and exit is calculated, which are better than many other algorithms.
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