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Abstract : Subscription adaptations are becoming increasingly
important across many content-based publish/subscribe (CPS)
applications. In algorithmic high frequency trading, for instance, stock
price thresholds that are of interest to a trader change rapidly, and
gains directly hinge on the reaction time to relevant fluctuations. The
common solution to adapt a subscription consists of a re-subscription,
where a new subscription is issued and the superseded one canceled. This
is ineffective, leading to missed or duplicate events during the
transition. In this paper, we introduce the concept of parametric
subscriptions to support subscription adaptations. We propose novel
algorithms for updating routing mechanisms effectively and efficiently
in classic CPS broker overlay networks. Compared to re-subscriptions,
our algorithms significantly improve the reaction time to subscription
updates and can sustain higher throughput in the presence of high update
rates. We convey our claims through implementations of our algorithms in
two CPS systems, and by evaluating them on two different real-world
applications.
https://hal.inria.fr/hal-01055268 Contributor : Hal IfipConnect in order to contact the contributor Submitted on : Tuesday, August 12, 2014 - 12:00:16 PM Last modification on : Wednesday, August 16, 2017 - 5:20:45 PM Long-term archiving on: : Wednesday, November 26, 2014 - 10:40:50 PM
K. R. Jayaram, Chamikara Jayalath, Patrick Eugster. Parametric Subscriptions for Content-Based
Publish/Subscribe Networks. ACM/IFIP/USENIX 11th International Middleware Conference (MIDDLEWARE), Nov 2010, Bangalore, India. pp.128-147, ⟨10.1007/978-3-642-16955-7_7⟩. ⟨hal-01055268⟩