NDLI: Scaling Instant Messaging communication services: A comparison of blocking and non-blocking techniques

Content Provider	IEEE Xplore Digital Library
Author	Griffin, L. Ryan, K. de Leastar, E. Botvich, D.
Copyright Year	2011
Description	Author affiliation: Telecommunications Software and Systems Group, Waterford Institute of Technology, Waterford, Ireland (Griffin, L.; Ryan, K.; de Leastar, E.; Botvich, D.)
Abstract	Designing innovative communications services that scale to facilitate potential new usage patterns can pose significant challenges. This is particularly the case if these services are to be delivered over existing protocols and interoperate with legacy services. This work explores design choices for such a service: large scale message delivery to existing Instant Messaging users. In particular we explore message throughput, accuracy and server load for several alternative implementation strategies. These strategies focus on approaches to concurrency, with best practice in current and emerging techniques thoroughly benchmarked. Specifically, a conventional Java Executor approach is compared with a functional approach realised through Scala and its Actors framework. These could be termed “blocking I/O” technology. A third approach has also been measured — a “non-blocking I/O” based on an alternative to Java Virtual Machine approaches — employing Node.js and Javascript. We believe that some of the results are startling.
Starting Page	550
Ending Page	557
File Size	352677
Page Count	8
File Format	PDF
ISBN	9781457706806
ISSN	15301346
e-ISBN	9781457706813
e-ISBN	9781457706783
DOI	10.1109/ISCC.2011.5983895
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-28
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Servers Java Instant messaging Concurrent computing Scalability Instruction sets XMPP Blocking IO Instant Messaging Non-Blocking IO
Content Type	Text
Resource Type	Article
Subject	Signal Processing Mathematics Computer Networks and Communications Computer Science Applications Software

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