Evaluating scalable distributed Erlang for scalability and reliability

Chechina, N., MacKenzie, K., Thompson, S., Trinder, P., Boudeville, O., Fordos, V., Hoch, C., Ghaffari, A. and Moro Hernandez, M. (2017) Evaluating scalable distributed Erlang for scalability and reliability. IEEE Transactions on Parallel and Distributed Systems, 28(8), pp. 2244-2257. (doi:10.1109/TPDS.2017.2654246)

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Abstract

Large scale servers with hundreds of hosts and tens of thousands of cores are becoming common. To exploit these platforms software must be both scalable and reliable, and distributed actor languages like Erlang are a proven technology in this area. While distributed Erlang conceptually supports the engineering of large scale reliable systems, in practice it has some scalability limits that force developers to depart from the standard language mechanisms at scale. In earlier work we have explored these scalability limitations, and addressed them by providing a Scalable Distributed (SD) Erlang library that partitions the network of Erlang Virtual Machines (VMs) into scalable groups (s groups). This paper presents the first systematic evaluation of SD Erlang s groups and associated tools, and how they can be used. We present a comprehensive evaluation of the scalability and reliability of SD Erlang using three typical benchmarks and a case study. We demonstrate that s groups improve the scalability of reliable and unreliable Erlang applications on up to 256 hosts (6144 cores). We show that SD Erlang preserves the class-leading distributed Erlang reliability model, but scales far better than the standard model. We present a novel, systematic, and tool-supported approach for refactoring distributed Erlang applications into SD Erlang. We outline the new and improved monitoring, debugging and deployment tools for large scale SD Erlang applications. We demonstrate the scaling characteristics of key tools on systems comprising up to 10K Erlang VMs.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Chechina, Dr Natalia and Mackenzie, Dr Kenneth and Ghaffari, Mr Amir and Trinder, Professor Phil
Authors: Chechina, N., MacKenzie, K., Thompson, S., Trinder, P., Boudeville, O., Fordos, V., Hoch, C., Ghaffari, A., and Moro Hernandez, M.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:IEEE Transactions on Parallel and Distributed Systems
Publisher:IEEE
ISSN:1045-9219
ISSN (Online):1558-2183
Published Online:17 January 2017
Copyright Holders:Copyright © 2017 The Authors
First Published:First published in IEEE Transactions on Parallel and Distributed Systems 28(8): 2244-2257
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
635431RELEASEPhil TrinderEuropean Commission (EC)287510COM - COMPUTING SCIENCE
644791Adaptive Just-In-Time Parallelisation (AJITPar)Phil TrinderEngineering & Physical Sciences Research Council (EPSRC)EP/L000687/1COM - COMPUTING SCIENCE