  Use-case-specific network slicing in decentralized multi-tenancy cloud
environments is a promising approach to bridge the gap between the demand and
supply of resources in next-generation communication networks. Our findings
associate different slice profiles to queues in a multi-server setting, such
that tenants continuously assess their preferences and make rational decisions
to minimize the queuing delay.
  Deviated from classical approaches that statistically model the jockeying
phenomena in queuing systems, our work pioneers to setup a behavioral model of
jockeying impatient tenants. This will serve as a basis for decentralized
management of multi-queue systems, where the decision to jockey is individually
made by each tenant upon its up-to-date assessment of expected waiting time.
  Additionally, we carry out numerical simulations to empirically unravel the
parametric dependencies of the tenants' jockeying behavior.
