DocumentCode
172791
Title
Elastic Message Queues
Author
El Rheddane, Ahmed ; De Palma, Noel ; Tchana, Alain ; Hagimont, Daniel
Author_Institution
LIG, UJF, Grenoble, France
fYear
2014
fDate
June 27 2014-July 2 2014
Firstpage
17
Lastpage
23
Abstract
Today´s systems are often distributed, and connecting their different components can be challenging. Message-Oriented-Middleware (MOM) is a popular tool to insure simple and reliable communication. With the ever growing loads of today´s applications, MOMs needs to be scalable. But as the load changes, static scalability often underuses the resources it requires. This paper presents an elastic message queuing system leveraging cloud´s on-demand resource provisioning, which allows the use of just enough resources to handle the current load. We will detail when and how provisioning decisions are made, and show the result of our system´s evaluation on Amazon EC2 public cloud. This work is based on Joram, an open-source JMS compliant MOM and is now part of its distribution on OW2 consortium´s website.
Keywords
cloud computing; decision making; middleware; queueing theory; resource allocation; Amazon EC2 public cloud; Joram; MOM; cloud on-demand resource provisioning; decision making; elastic message queuing system; message-oriented-middleware; Cloud computing; Elasticity; Load management; Method of moments; Scalability; Virtual machining; JMS; cloud computing; elasticity; message queues;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on
Conference_Location
Anchorage, AK
Print_ISBN
978-1-4799-5062-1
Type
conf
DOI
10.1109/CLOUD.2014.13
Filename
6973719
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