Collision Avoidance Resource Allocation for LoRaWAN

Algebraic Deadlock Avoidance Policies for Conjunctive / Disjunctive resource Allocation Systems

Algebraic Deadlock Avoidance Policies for Sequential Resource Allocation Systems ∗

As many contemporary technological applications move to operational modes of more extensive and flexible automation, there is a rising need to design and control the underlying resource allocation not only for efficiency, but also for logical correctness and internal consistency. The material presented in this chapter offers a unifying and comprehensive treatment of a class of policies that hav...

Polynomial-Complexity Deadlock Avoidance Policies for Sequential Resource Allocation Systems

The development of e cient deadlock avoidance policies (DAP's) for sequential resource allocation systems (RAS) is a problem of increasing interest in the scienti c community, largely because of its relevance to the design of large-scale exibly automated manufacturing systems. Much of the work on this problem existing in the literature, is focused on the so called Single-Unit RAS model, which i...

Overload Avoidance for Dynamic Virtual Machine Resource Allocation Environment

Cloud computing allows business customers to scale up and down their resource usage based on needs. Many of the touted gains in the cloud model come from resource multiplexing through virtualization technology. In this paper, we present a system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizin...

Modeling for UAS Collision Avoidance

For UAS to be granted full access to civil airspace, their safety case must address collision avoidance, including the lack of an onboard pilot who could see-and-avoid other traffic, as on conventional aircraft. This paper discusses several methods and tools that have been accepted for modeling and evaluating the safety of collision avoidance for manned aircraft. Example results are illustrated...