Demo Data from EDBT 2026 / reviewers in the wild / expert
Benjamin Hindman
dblp:57/3356
· DBLP profile ↗
6ranked-venue papers
1as first author
3since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 3 · 1 first-author · 1 since 2021Software engineering, systems software and programming languages · 3 · 2 since 2021
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
5 papers |
Cloud and datacenter computing · 57% Distributed systems · 36% Performance modeling and evaluation · 6% | |
| Software engineering, system software, and programming languages
1 paper |
Runtime systems and virtual machines · 100% |
Topics — the 7 heaviest of 10, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing
resource allocation |
0.7 | 3 | 2023 | Cilantro: Performance-Aware Resource Allocation for General Objectives via Online Feedback · OSDI 2023 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 |
0.7 | 1 | 2023 | Cilantro: Performance-Aware Resource Allocation for General Objectives via Online Feedback · OSDI 2023 |
Distributed systems › distributed scheduling
distributed task scheduling |
0.5 | 1 | 2021 | Ownership: A Distributed Futures System for Fine-Grained Tasks · NSDI 2021 |
Cloud and datacenter computing › cluster resource management and scheduling
cluster resource management |
0.2 | 2 | 2011 | 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 |
Distributed systems › distributed resource management
fair resource allocation |
0.1 | 1 | 2011 | Dominant Resource Fairness: Fair Allocation of Multiple Resource Types · NSDI 2011 |
Cloud and datacenter computing › resource management
resource oversubscription |
0.1 | 1 | 2010 | Composing parallel software efficiently with lithe · PLDI 2010 |
Cloud and datacenter computing › resource management › resource allocation and scheduling
multi-resource fairness |
0.0 | 1 | 2011 | Dominant Resource Fairness: Fair Allocation of Multiple Resource Types · NSDI 2011 |
Methods — techniques the papers use, named apart from their topics
online feedback optimization · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Cilantro: Performance-Aware Resource Allocation for General Objectives via Online Feedback
Romil Bhardwaj, Kirthevasan Kandasamy, Asim Biswal, Wenshuo Guo, Benjamin Hindman, Joseph Gonzalez 0001, Michael I. Jordan, Ion Stoica |
OSDI | 5 |
| 2021 | In reference to RPC: it's time to add distributed memoryabstractRPC has been remarkably successful. Most distributed applications built today use an RPC runtime such as gRPC [3] or Apache Thrift [2]. The key behind RPC's success is the simple but powerful semantics of its programming model. In particular, RPC has no shared state: arguments and return values are passed by value between processes, meaning that they must be copied into the request or reply. Thus, arguments and return values are inherently immutable. These simple semantics facilitate highly efficient and reliable implementations, as no distributed coordination is required, while remaining useful for a general set of distributed applications. The generality of RPC also enables interoperability: any application that speaks RPC can communicate with another application that understands RPC. Stephanie Wang, Benjamin Hindman, Ion Stoica |
HotOS | 2 |
| 2021 | Ownership: A Distributed Futures System for Fine-Grained Tasks
Stephanie Wang, Eric Liang, Edward Oakes, Benjamin Hindman, Sifei Luan 0001, Audrey Cheng, Ion Stoica |
NSDI | 4 |
| 2011 | Dominant Resource Fairness: Fair Allocation of Multiple Resource Types
Ali Ghodsi 0002, Matei Zaharia, Benjamin Hindman, Andy Konwinski, Scott Shenker, Ion Stoica |
NSDI | 3 |
| 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 |
NSDI | 1 |
| 2010 | Composing parallel software efficiently with litheabstractApplications composed of multiple parallel libraries perform poorly when those libraries interfere with one another by obliviously using the same physical cores, leading to destructive resource oversubscription. This paper presents the design and implementation of Lithe, a low-level substrate that provides the basic primitives and a standard interface for composing parallel codes efficiently. Lithe can be inserted underneath the runtimes of legacy parallel libraries to provide bolt-on composability without needing to change existing application code. Lithe can also serve as the foundation for building new parallel abstractions and libraries that automatically interoperate with one another. Heidi Pan, Benjamin Hindman, Krste Asanovic |
PLDI | 2 |