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Weak Fairness Semantic Drawbacks in Java Multithreading

Authors: Kaiser, Claude; Pradat-Peyre, Jean-François;

Weak Fairness Semantic Drawbacks in Java Multithreading

Abstract

With the development of embedded and mobile systems, Java is being widely used for application programs and is also considered for implementing systems kernel or application platforms. It is the aim of this paper to exemplify some subtle programming errors that may result from the process queuing and awaking policy, which corresponds to a weak fairness semantic and which has been chosen for implementing the monitor concept in this language. Two examples show some subtle deadlocks resulting from this policy. The first example deals with process synchronization: processes seeking after partners for a peer-to-peer communication call a symmetrical rendezvous server. The second example concerns resource sharing according to a solution of the dining philosophers paradigm. In this example, several implementations are presented, the last ones aiming to provide deterministic process awakening. All these examples have been validated and simulated and this allows comparing their concurrency complexity and effectiveness. Our conclusion is, first, that the use of Java for multithreading programming necessitates sometimes additional shielding code for developing correct programs and, second, that a good acquaintance with several styles of concurrent programming helps designing more robust Java solutions, once the choice of the implementation language is irrevocable.

Keywords

[INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green