arXiv · 1204.6080
Cologne: A Declarative Distributed Constraint Optimization Platform
Abstract
This paper presents Cologne, a declarative optimization platform that enables constraint optimization problems (COPs) to be declaratively specified and incrementally executed in distributed systems. Cologne integrates a declarative networking engine with an off-the-shelf constraint solver. We have developed the Colog language that combines distributed Datalog used in declarative networking with language constructs for specifying goals and constraints used in COPs. Cologne uses novel query processing strategies for processing Colog programs, by combining the use of bottom-up distributed Datalog evaluation with top-down goal-oriented constraint solving. Using case studies based on cloud and wireless network optimizations, we demonstrate that Cologne (1) can flexibly support a wide range of policy-based optimizations in distributed systems, (2) results in orders of magnitude less code compared to imperative implementations, and (3) is highly efficient with low overhead and fast convergence times.
Explore related subjects
Keep this discovery
Changbin Liu, Lu Ren, Boon Thau Loo, Yun Mao, Prithwish Basu. 2012-04-26. Cologne: A Declarative Distributed Constraint Optimization Platform. https://arxiv.org/abs/1204.6080
Cite the original work for its findings. Save a collection to share your selection of sources.