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A Framework for Adaptive Matchmaking in Distributed Computing
| Content Provider | Semantic Scholar |
|---|---|
| Author | Sigdel, Kamana Pourebrahimi, Behnaz Vassiliadis, Stamatis |
| Abstract | One of the major issues of a distributed system is load balancing where workloads are distributed throughout the network. For this, it is necessary to assign new tasks to idle resources and reduce the workload for some other overloaded nodes in the same network. This process of assigning workloads to the resources is called matchmaking process. On the continuum from centralized to peer-to-peer mechanisms, we are interested in designing a matchmaking mechanism that enables the network to change its internal matchmaking mechanism from P2P to a more centralized form or vice versa whenever that is required. This will allow the distributed system to adapt itself dynamically to changing conditions and always have the most appropriate matchmaking infrastructure available. This approach boils down to, for instance the idea of multiple matchmakers where the entire system can be partitioned into segments such that every segment has a matchmaker. Agents can then interact with each other in a local neighborhood, and matchmaking in different segments can take place in parallel. Completely centralized or completely localized matchmaking mechanisms each have their efficiencies and deficiencies. This paper defines a framework for an adaptive system architecture that offers a dynamic infrastructure in which the distributed system can manage itself according to the changing circumstances to switch between completely decentralized and completely centralized or any state in between these two. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://ce-publications.et.tudelft.nl/publications/956_a_framework_for_adaptive_matchmaking_in_distributed_computin.pdf |
| Alternate Webpage(s) | http://ce.et.tudelft.nl/publicationfiles/975_542_paper.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |