Skip to main navigation
Skip to search
Skip to main content
New Jersey Institute of Technology Home
Help & FAQ
Home
Profiles
Research units
Facilities
Federal Grants
Research output
Press/Media
Search by expertise, name or affiliation
Online Resource Allocation with Matching Constraints
John P. Dickerson
, Karthik Abinav Sankararaman
, Kanthi Kiran Sarpatwar
, Aravind Srinivasan
, Kun Lung Wu
,
Pan Xu
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
20
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Online Resource Allocation with Matching Constraints'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Linear Programming
100%
Matching Constraint
100%
Online Resource Allocation
100%
Historical Data
66%
Online Assignments
66%
Public Safety
33%
Cloud Services
33%
Resource Sharing
33%
Matching Markets
33%
Limited Resources
33%
Job Type
33%
Expected Profit
33%
Cloud Scheduling
33%
Fairness Metrics
33%
Online Job
33%
Agnostic
33%
Almost Optimal
33%
Assignment Strategy
33%
Adversarial Distribution
33%
Global Objective
33%
First-order Moments
33%
Unifying Framework
33%
Crowdsourcing Marketplace
33%
Hard Budget Constraints
33%
Real-time Cloud
33%
Computer Science
Resource Allocation
100%
Online Resource
100%
Linear Programming
100%
Historical Data
66%
Experimental Result
33%
Cloud Scheduling
33%
Budget Constraint
33%