Handling Overload in Publish/Subscribe Systems
Research output: Contribution to conferences › Paper › Contributed › peer-review
Contributors
Abstract
This paper proposes a new approach for handling overload
in Publish/Subscribe systems. We focus on the fact that every service has
to cope with the limitations imposed by the external environment (e.g.,
network congestion) and the limitations resulting directly from within
the service itself – e.g., the maximum available computational power.
This work seeks to aid Publish/Subscribe mechanisms with the ability to
handle both aforementioned constraints in a graceful way, simultaneously
ensuring for the most valuable information to be given the highest chance
of a successful delivery.
in Publish/Subscribe systems. We focus on the fact that every service has
to cope with the limitations imposed by the external environment (e.g.,
network congestion) and the limitations resulting directly from within
the service itself – e.g., the maximum available computational power.
This work seeks to aid Publish/Subscribe mechanisms with the ability to
handle both aforementioned constraints in a graceful way, simultaneously
ensuring for the most valuable information to be given the highest chance
of a successful delivery.
Details
Original language | English |
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Pages | 13-22 |
Number of pages | 10 |
Publication status | Published - 2006 |
Peer-reviewed | Yes |
Conference
Title | 2006 26th IEEE International Conference on Distributed Computing Systems |
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Abbreviated title | ICDCS 2006 |
Conference number | 26 |
Duration | 4 - 7 July 2006 |
Degree of recognition | International event |
City | Lissabon |
Country | Portugal |
Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
Keywords
- distributed computing, Prototypes, Computer crashes, Routing, Extraterrestialmeasurements, Performance evalutation, Hierarchical systems, Peer-to-peer computing, Scalability, Feedback