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Andy Konwinski

dblp:62/3300 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
4 papers
Cloud and datacenter computing · 55% Distributed systems · 29% Parallel and multicore computing · 16%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing › cluster resource management and scheduling
cluster resource management
0.222011
Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center · NSDI 2011
Dominant Resource Fairness: Fair Allocation of Multiple Resource Types · NSDI 2011
Cloud and datacenter computing
cluster resource management and scheduling
0.222013
Omega: flexible, scalable schedulers for large compute clusters · EuroSys 2013
Improving MapReduce Performance in Heterogeneous Environments · OSDI 2008
Distributed systems › concurrency control
optimistic concurrency control
0.212013
Omega: flexible, scalable schedulers for large compute clusters · EuroSys 2013
Distributed systems › distributed resource management
fair resource allocation
0.112011
Dominant Resource Fairness: Fair Allocation of Multiple Resource Types · NSDI 2011
Parallel and multicore computing › parallel scheduling
heterogeneous scheduling
0.112008
Improving MapReduce Performance in Heterogeneous Environments · OSDI 2008
Parallel and multicore computing › data-parallel programming
mapreduce
0.112008
Improving MapReduce Performance in Heterogeneous Environments · OSDI 2008
Cloud and datacenter computing
resource allocation
0.122011
Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center · NSDI 2011
Dominant Resource Fairness: Fair Allocation of Multiple Resource Types · NSDI 2011
Cloud and datacenter computing › resource management › resource allocation and scheduling
multi-resource fairness
0.012011
Dominant Resource Fairness: Fair Allocation of Multiple Resource Types · NSDI 2011

Methods — techniques the papers use, named apart from their topics

shared state · 0.2lock-free optimistic concurrency control · 0.2
YearPublicationVenuePosition
2013 Omega: flexible, scalable schedulers for large compute clusters
abstract
Increasing scale and the need for rapid response to changing requirements are hard to meet with current monolithic cluster scheduler architectures. This restricts the rate at which new features can be deployed, decreases efficiency and utilization, and will eventually limit cluster growth. We present a novel approach to address these needs using parallelism, shared state, and lock-free optimistic concurrency control.
Malte Schwarzkopf, Andy Konwinski, Michael Abd-El-Malek, John Wilkes
EuroSys2
2011 Dominant Resource Fairness: Fair Allocation of Multiple Resource Types
Ali Ghodsi 0002, Matei Zaharia, Benjamin Hindman, Andy Konwinski, Scott Shenker, Ion Stoica
NSDI4
2011 Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center
Benjamin Hindman, Andy Konwinski, Matei Zaharia, Ali Ghodsi 0002, Anthony D. Joseph, Randy H. Katz, Scott Shenker, Ion Stoica
NSDI2
2008 Improving MapReduce Performance in Heterogeneous Environments
Matei Zaharia, Andy Konwinski, Anthony D. Joseph, Randy H. Katz, Ion Stoica
OSDI2