Customer classification and prioritization are commonly used in many applications to provide queue preferential service. Their influence on queuing systems has been thoroughly studied from the delay distribution perspective. However, the fairness aspects, which are inherent to any preferential system and highly important to customers, have hardly been studied and not been quantified to date. In...

Recently developed models of fairness can explain a wide variety of seemingly contradictory facts. One of the most controversial and yet unresolved issues in the modeling of fairness preferences concerns the behavioral relevance of fairness intentions. Intuitively, fairness intentions seem to play an important role in economic relations, political struggles, and legal disputes but there is surp...

Fairness is one of the important notion for programming language, such as process algebras like CCS, that includes concurrency (or parallelism) and nondeterminism . This ensures that while repeatedly choosing among a set of alternatives, no alternative will be postponed forever. However, the fairness does not mention at what frequency these alternatives are selected. In this paper, we propose a...

Throughput and fairness are conflicting objectives in many networking scenarios. To address this issue, relays have been considered/used to improve the overall throughput without sacrificing fairness. However, we observe that in a relay-based wireless network, throughput-based fairness significantly limits the performance of the relay users when they are energy limited. To overcome this issue, ...

This article deals with the fair allocation of indivisible goods and its generalization to matroids. The notions of fairness under consideration are equitability, proportionality and envy-freeness. It is long known that some instances fail to admit a fair allocation. However, an almost fair solution may exist if an appropriate relaxation of the fairness condition is adopted. This article deals ...

Abstract Machine-learned systems are in widespread use for making decisions about humans, and it is important that they fair , i.e., not biased against individuals based on sensitive attributes. We present runtime verification of algorithmic fairness whose models unknown, but assumed to have a Markov chain structure. introduce specification language can model many common properties, such as dem...

In this paper, we consider the one-bit feedback scheduler with a threshold in a wireless network. Due to its feedback reduction structure, the one-bit feedback scheduler has been studied as one of good candidates implementable in a practical wireless network, and it is important to determine the threshold value of the one-bit feedback scheduler. To solve this problem, network throughput and/or ...