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| Steve Vinoski, "Concurrency with Erlang," IEEE Internet Computing, vol. 11, no. 5, pp. 90-93, September/October, 2007. | |||
| BibTex | x | ||
| @article{ 10.1109/MIC.2007.104, author = {Steve Vinoski}, title = {Concurrency with Erlang}, journal ={IEEE Internet Computing}, volume = {11}, number = {5}, issn = {1089-7801}, year = {2007}, pages = {90-93}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIC.2007.104}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Internet Computing TI - Concurrency with Erlang IS - 5 SN - 1089-7801 SP90 EP93 EPD - 90-93 A1 - Steve Vinoski, PY - 2007 KW - Erlang KW - programming language KW - middleware KW - concurrency KW - Toward Integration VL - 11 JA - IEEE Internet Computing ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIC.2007.104
Have you ever devised what you thought was a good solution to a really difficult problem, only to find that the answer would've been almost trivial with a different tool or approach? One of the primary reasons concurrency is so hard is that popular imperative programming languages such as Java and C++ essentially require state to be shared among threads. With multiple threads running on multiple CPUs, more than one program pathway can be active simultaneously, and without the appropriate safeguards in place, the threads can read partial values and overwrite each other's data, resulting in bogus values and application instability. One way to avoid the problems with shared state is to simply avoid it, but that's impractical in a language like C++ or Java. A better way to avoid shared state is to switch to a programming language specifically designed to do exactly that. Erlang is one such language.
Index Terms:
Erlang, programming language, middleware, concurrency, Toward Integration
Citation:
Steve Vinoski, "Concurrency with Erlang," IEEE Internet Computing, vol. 11, no. 5, pp. 90-93, Sept.-Oct. 2007, doi:10.1109/MIC.2007.104
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