Name
Abstract | ||
|---|---|---|
In asynchronous event systems, the production of an event is decoupled from its consumption via an event queue. The loose
coupling of such systems allows great flexibility as to where and when within the system the event handler of a given event
is actually executed, allowing them to scale with increasing number of processors on a given node or across multiple nodes
in a distributed system. Although this flexibility is useful in heterogeneous distributed systems, such as SOA, it may appear
not to be well suited for real-time systems, which require an upper bound on how long an event can remain unhandled in a queue.
However, we show how the weighted fair scheduling algorithms developed for QoS (quality of service) routing can be adapted
to event queues to bound the delay between production and consumption. We achieve this, despite the fact that the underlying
execution environment is only weakly controlled, through the use of predictive techniques on a calibrated model of the event
system. Our choice of algorithms and data structures is driven in part by the highly concurrent nature of the system. We show
how a weighted fair scheduler can be built on a lock-free concurrent priority queue. We analyze the performance of various
such queues proposed in the literature and show that a very simple linear quantizing queue yields the best performance. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/s11761-010-0054-7 | Service Oriented Computing and Applications |
Keywords | Field | DocType |
event system · middleware · scheduler · real-time · lock-free · soa,priority queue,real time,distributed system,real time systems,upper bound,middleware | Asynchronous communication,Multilevel queue,Fair-share scheduling,Scheduling (computing),Computer science,Queue,Real-time computing,Event (computing),Priority queue,Queue management system,Distributed computing | Journal |
Volume | Issue | ISSN |
4 | 1 | 1863-2394 |
Citations | PageRank | References |
0 | 0.34 | 25 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sean Rooney | 1 | 81 | 12.50 |
| Luis Garcés-erice | 2 | 307 | 39.65 |
| Kristijan Dragicevic | 3 | 17 | 1.75 |
| Daniel Bauer | 4 | 0 | 0.34 |