Scaling Reliably: Improving the Scalability of the Erlang Distributed Actor Platform

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Authors:	Phil Trinder	University of Glasgow, Glasgow, Scotland
	Natalia Chechina	University of Glasgow, Glasgow, Scotland
	Nikolaos Papaspyrou	National Technical University of Athens, Athens, Greece
	Konstantinos Sagonas	Uppsala University and National Technical University of Athens, Uppsala, Sweden
	Simon Thompson	University of Kent, Canterbury, UK
	Stephen Adams	University of Kent, Canterbury, UK
	Stavros Aronis	Uppsala University, Uppsala, Sweden
	Robert Baker	University of Kent, Canterbury, UK
	Eva Bihari	Erlang Solutions, London, UK
	Olivier Boudeville	Électricité de France
	Francesco Cesarini	Erlang Solutions, London, UK
	Maurizio Di Stefano	University of Kent, Canterbury, UK
	Sverker Eriksson	Ericsson AB, Kista, Sweden
	Viktória fördős	Erlang Solutions, London, UK
	Amir Ghaffari	University of Glasgow, Glasgow, Scotland
	Aggelos Giantsios	National Technical University of Athens, Athens, Greece
	Rickard Green	Ericsson AB, Kista, Sweden
	Csaba Hoch	Erlang Solutions, London, UK
	David Klaftenegger	Uppsala University, Uppsala, Sweden
	Huiqing Li	University of Kent, Canterbury, UK
	Kenneth Lundin	Ericsson AB, Kista, Sweden
	Kenneth Mackenzie	University of Glasgow, Glasgow, Scotland
	Katerina Roukounaki	National Technical University of Athens, Athens, Greece
	Yiannis Tsiouris	National Technical University of Athens, Athens, Greece
	Kjell Winblad	Uppsala University, Uppsala, Sweden

	2017 Article Research Refereed
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	· Journal
	ACM Transactions on Programming Languages and Systems (TOPLAS) TOPLAS Homepage archive
	Volume 39 Issue 4, September 2017 Article No. 17 ACM New York, NY, USA table of contents doi>10.1145/3107937

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