[HTML][HTML] Fair division of indivisible goods: Recent progress and open questions
Allocating resources to individuals in a fair manner has been a topic of interest since ancient
times, with most of the early mathematical work on the problem focusing on resources that …
times, with most of the early mathematical work on the problem focusing on resources that …
Social choice theory
A Sen - Handbook of mathematical economics, 1986 - Elsevier
Publisher Summary This chapter discusses the social choice theory. There is social choice
problems, which deals with methods of marshalling information, particularly those relating to …
problems, which deals with methods of marshalling information, particularly those relating to …
Fairrec: Two-sided fairness for personalized recommendations in two-sided platforms
We investigate the problem of fair recommendation in the context of two-sided online
platforms, comprising customers on one side and producers on the other. Traditionally …
platforms, comprising customers on one side and producers on the other. Traditionally …
Fair division of indivisible goods: A survey
Allocating resources to individuals in a fair manner has been a topic of interest since the
ancient times, with most of the early rigorous mathematical work on the problem focusing on …
ancient times, with most of the early rigorous mathematical work on the problem focusing on …
Videoedge: Processing camera streams using hierarchical clusters
CC Hung, G Ananthanarayanan… - 2018 IEEE/ACM …, 2018 - ieeexplore.ieee.org
Organizations deploy a hierarchy of clusters-cameras, private clusters, public clouds-for
analyzing live video feeds from their cameras. Video analytics queries have many …
analyzing live video feeds from their cameras. Video analytics queries have many …
The unreasonable fairness of maximum Nash welfare
The maximum Nash welfare (MNW) solution—which selects an allocation that maximizes
the product of utilities—is known to provide outstanding fairness guarantees when allocating …
the product of utilities—is known to provide outstanding fairness guarantees when allocating …
Themis: Fair and efficient {GPU} cluster scheduling
Modern distributed machine learning (ML) training workloads benefit significantly from
leveraging GPUs. However, significant contention ensues when multiple such workloads are …
leveraging GPUs. However, significant contention ensues when multiple such workloads are …
[PDF][PDF] Dominant resource fairness: Fair allocation of multiple resource types
We consider the problem of fair resource allocation in a system containing different resource
types, where each user may have different demands for each resource. To address this …
types, where each user may have different demands for each resource. To address this …
[PDF][PDF] Mesos: A platform for {Fine-Grained} resource sharing in the data center
We present Mesos, a platform for sharing commodity clusters between multiple diverse
cluster computing frameworks, such as Hadoop and MPI. Sharing improves cluster …
cluster computing frameworks, such as Hadoop and MPI. Sharing improves cluster …