Approaches for dealing with the beat-down unfairness problem have been mainly limited to electronic packet-switching networks. We investigate two methods for alleviating this problem in optical-burst-switching (OBS) networks. When OBS is used with just-in-time or just-enough-time scheduling, the control packet transmitted ahead of the data burst may fail to secure a free channel, causing the da...

IEEE 802.11 wireless local area networks (WLANs) are shared networks, which use contention-based distributed coordination function (DCF) to share access medium among numerous stations. The performance of the mechanism mostly depends on network load, number nodes and their data rates. throughput unfairness, also known as anomaly is inherent in very nature mixed rate Wi-Fi using function. This un...

Thirty years ago, psychologist Daniel Kahneman and economists Jack Knetsch, and Richard Thaler (1986a & b) showed that fairness matters in the marketplace. They presented evidence-based community rules of fairness that are encapsulated in the “principle of dual entitlement”; consumers are entitled to the reference transaction (e.g., price) and, similarly, the firm is entitled to its reference p...

A common assumption in the literature is that level of income inequality shapes individuals' beliefs about whether distribution fair (``fairness views,'' for short). However, individuals do not directly observe (which often leads to large misperceptions), nor they consider all inequities be unfair. In this paper, we empirically assess link between objective measures and fairness views a context...

We explore a fairness-related challenge that arises in generative models. The is biased training data with imbalanced demographics may yield high asymmetry size of generated samples across distinct groups. focus on practically-relevant scenarios wherein demographic labels are not available and therefore the design fair model non-straightforward. In this paper, we propose an optimization framewo...