We propose a message-passing paradigm for resource allocation problems. This serves to
connect ideas from the message-passing literature, which has primarily grown out of the …

We consider a class of large-scale optimization programs that appear in many engineering
and management settings. Such complex, decentralized systems are comprised of many …

In the standard mechanism design framework, agents' messages are gathered at a central
point and allocation/tax functions are calculated in a centralized manner, ie, as functions of …

Resource allocation in a multi-agent system is achieved through associating agents with
resources and activities. Agents associated with activities (activity agents) request agents at …

We study the problem of allocating a single divisible resource to strategic agents in
communication networks. For the setting of inelastic supply we formulate conditions for the …

Resource allocation problems have been widely studied according to various scenarios in
literature. In such problems, a set of resources must be allocated to a set of agents …

We present and explore the problem of automatic distributed resource allocation for a large
scale system operating on the basic principles of a free market economy. We model such …

Distributed resource allocation and sharing can often be formulated as a utility maximization
problem, with the objective being the sum of user utilities minus a coupled cost. A traditional …

In this thesis, we present a new methodology for resource sharing algorithms in distributed
systems. We propose that a distributed computing system should be composed of a …

Distributed resource allocation arises in many application domains such as smart cities,
intelligent transportation systems, sharing economy, cloud computing, edge-computing …