40 citations · 72 across the 3 of their papers we have counts for
5 papers
Truthful Online Scheduling of Cloud Workloads under Uncertainty
Moshe Babaioff, Ronny Lempel, Brendan Lucier +3
Cloud computing customers often submit repeating jobs and computation pipelines on \emph{approximately} regular schedules, with arrival and running times that exhibit variance. Thi…
Online Virtual Machine Allocation with Predictions
Niv Buchbinder, Yaron Fairstein, Konstantina Mellou +3
The cloud computing industry has grown rapidly over the last decade, and with this growth there is a significant increase in demand for compute resources. Demand is manifested in t…
Dynamic Resource Allocation in the Cloud with Near-Optimal Efficiency
Sebastian Perez-Salazar, Ishai Menache, Mohit Singh +1
Cloud computing has motivated renewed interest in resource allocation problems with new consumption models. A common goal is to share a resource, such as CPU or I/O bandwidth, amon…
ERA: A Framework for Economic Resource Allocation for the Cloud
Moshe Babaioff, Yishay Mansour, Noam Nisan +7
Cloud computing has reached significant maturity from a systems perspective, but currently deployed solutions rely on rather basic economics mechanisms that yield suboptimal alloca…
Truthful Online Scheduling with Commitments
Yossi Azar, Inna Kalp-Shaltiel, Brendan Lucier +4
We study online mechanisms for preemptive scheduling with deadlines, with the goal of maximizing the total value of completed jobs. This problem is fundamental to deadline-aware cl…