• Publications
  • Influence
OpenFlow: enabling innovation in campus networks
This whitepaper proposes OpenFlow: a way for researchers to run experimental protocols in the networks they use every day. OpenFlow is based on an Ethernet switch, with an internal flow-table, and aExpand
Spark: Cluster Computing with Working Sets
TLDR
Spark can outperform Hadoop by 10x in iterative machine learning jobs, and can be used to interactively query a 39 GB dataset with sub-second response time. Expand
A scalable content-addressable network
TLDR
The concept of a Content-Addressable Network (CAN) as a distributed infrastructure that provides hash table-like functionality on Internet-like scales is introduced and its scalability, robustness and low-latency properties are demonstrated through simulation. Expand
Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing
TLDR
Resilient Distributed Datasets is presented, a distributed memory abstraction that lets programmers perform in-memory computations on large clusters in a fault-tolerant manner and is implemented in a system called Spark, which is evaluated through a variety of user applications and benchmarks. Expand
Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center
TLDR
The results show that Mesos can achieve near-optimal data locality when sharing the cluster among diverse frameworks, can scale to 50,000 (emulated) nodes, and is resilient to failures. Expand
Integrated Services in the Internet Architecture: an Overview
This memo discusses a proposed extension to the Internet architecture and protocols to provide integrated services, i.e., to support real- time as well as the current non-real-time service of IP.Expand
Dominant Resource Fairness: Fair Allocation of Multiple Resource Types
TLDR
Dominant Resource Fairness (DRF), a generalization of max-min fairness to multiple resource types, is proposed, and it is shown that it leads to better throughput and fairness than the slot-based fair sharing schemes in current cluster schedulers. Expand
Web caching and Zipf-like distributions: evidence and implications
TLDR
This paper investigates the page request distribution seen by Web proxy caches using traces from a variety of sources and considers a simple model where the Web accesses are independent and the reference probability of the documents follows a Zipf-like distribution, suggesting that the various observed properties of hit-ratios and temporal locality are indeed inherent to Web accesse observed by proxies. Expand
NOX: towards an operating system for networks
As anyone who has operated a large network can attest, enterprise networks are difficult to manage. That they have remained so despite significant commercial and academic efforts suggests the needExpand
A scheduling model for reduced CPU energy
TLDR
This paper proposes a simple model of job scheduling aimed at capturing some key aspects of energy minimization, and gives an off-line algorithm that computes, for any set of jobs, a minimum-energy schedule. Expand
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