Intentional service failures (e.g., overbooking or overcharging) have received little scholarly attention, despite their regular occurrence and immense costs. Using a multi-method approach combining experimental field data from online reviews, it was found that intentional (vs. unintentional) lead to greater negative word of mouth (nWOM) patronage reduction. This research extends these findings...

Cloud computing datacenters provide millions of virtual machines in actual cloud markets. In this context, Virtual Machine Placement (VMP) is one of the most challenging problems in cloud infrastructure management, considering the large number of possible optimization criteria and different formulations that could be studied. In the existing literature, the VMP problem is mostly formulated as a...

We formulate and analyze a Markov decision process (dynamic programming) model for airline seat allocation (yield management) on a single-leg flight with multiple fare classes. Unlike previous models, we allow cancellation, no-shows, and overbooking. Additionally, we make no assumptions on the arrival patterns for the various fare classes. Our model is also applicable to other problems of reven...

This paper investigates the transient behavior of experiencebased admission control (EBAC) in case of traffic changes. EBAC is a robust and resource-efficient admission control (AC) mechanism used for reservation overbooking of link capacities in packet-based networks. Recent analyses gave a proof of concept for EBAC and showed its efficiency and robustness through steady state simulation on a ...

The resource allocation problem is one of fundamental problems in distributed systems, and many resource models and resource allocation algorithms have been proposed in many literature. In this paper, we consider a problem of allocating a set of unnamed resources that can be overbooked. Such a resource model is suitable for sharing broadband communication channel by many nodes. We propose a ran...

We consider a patient admission problem to a hospital with multiple resource constraints (e.g. OR and beds) and a stochastic evolution of patient care requirements across multiple resources. There is a small but significant proportion of emergency patients who arrive randomly and have to be accepted at the hospital. However, the hospital needs to decide whether to accept, postpone or even rejec...