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In principle, we can try several candidate distributed strategies in designing the transmitters in the first step and then provide the corresponding values of { ξ ̄ k } k = 1 K for the relay design.
Another important direction would be to understand the impact of local connectivity knowledge on the capacity and to develop distributed strategies to optimally route information with partial connectivity knowledge.
We compare the proposed technologies in the literature from different perspectives: traffic-changes triggered vs. other events triggered, centrally-managed strategies vs. distributed strategies, new lightpath demands known vs. future user traffic unknown, adaptive/reactive approaches vs. proactive approaches, traffic prediction based vs. traffic uncertainty proof approaches.
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We also design a new distributed strategy that is to be executed at each individual.
They propose a distributed strategy in which nodes are capable of local decision making and inter-node communication.
One approach would have been to go to a more distributed strategy, so each office would get its own server, making it less dependent on connectivity to headquarters.
The proposed architecture is based on a hierarchical and distributed strategy where the functionalities are structured on layers.
Our distributed strategy is a special case of the distributed CF strategy proposed in [31], where relays perform partial decoding of other relay messages and then use distributed compression to send their signals to the destination.
The unmanageable large Volume of data poses an immediate challenge to conventional computing environments and requires scalable storage and a distributed strategy to data querying and analysis.
For this reason, a distributed strategy where nodes, upon encounters, update their own sociability parameter through the exchange of a minimum amount of data, could be the optimum.
Gossiping [28, 29] is a distributed strategy for achieving consensus amongst agents in a network through a local exchange of data.
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