Quantitative business process analysis is a powerful approach for analyzing timing
properties of a business process, such as the expected waiting time of customers or the …

Problem definition: Cloud computing is recognized as a critical driver of information
technology–enabled innovations. The operations management (OM) community, however …

With the growth of ocean transport and with increasing vessel sizes, managing congestion at
the landside of container terminals has become a major challenge. The landside of a sea …

We study an infinite-server fork–join queueing system with dependent services, which
experiences alternating renewal service disruptions. Jobs are forked into a fixed number of …

Erasure codes are widely used in distributed storage systems since they provide space-
optimal data redundancy to protect against data loss. Despite recent progress on quantifying …

Over the past decade, the deep learning revolution has led to ever-increasing demands for
computing power and working memory to support larger and larger neural networks. As this …

Load-balancing algorithms for systems that operate in heavy traffic are known to lead, under
suitable conditions, to state space collapse (SSC). This term refers to the phenomenon …

In this paper, we consider the problem of admission control for a stream of jobs arriving at
two single-server queues working in parallel, with general inter-arrival time distribution and …

In many different settings, requests for service can arrive in near or true simultaneity with one
another. This creates batches of arrivals to the underlying queueing system. In this paper …

Recent trends in communication networks have focused on Quality of Service (QoS)
requirements expressed through timing metrics such as latency or Age of Information (AoI) …