• Publications
  • Influence
Jellyfish: Networking Data Centers Randomly
TLDR
We present Jellyfish, a high-capacity network interconnect which, by adopting a random graph topology, yields itself naturally to incremental expansion. Expand
OSA: An Optical Switching Architecture for Data Center Networks With Unprecedented Flexibility
TLDR
A detailed examination of evolving traffic characteristics, operator requirements, and network technology trends suggests a move away from nonblocking interconnects in data center networks (DCNs). Expand
Information-centric networking: seeing the forest for the trees
TLDR
We begin this paper by identifying the existing commonalities and important differences in these designs and then discuss some remaining research issues. Expand
Proteus: a topology malleable data center network
TLDR
We propose Proteus, an all-optical architecture targeting unprecedented topology-flexibility, lower complexity and higher energy efficiency. Expand
Ensuring Connectivity via Data Plane Mechanisms
TLDR
We propose the idea of data-driven connectivity (DDC), which maintains forwarding-connectivity via simple changes in forwarding state. Expand
A survey of routing and data dissemination in Delay Tolerant Networks
TLDR
We have studied the relation between message replication and individual or group communication semantics of DTN routing protocols considering both social-based and opportunistic message forwarding techniques. Expand
Scalable routing on flat names
TLDR
We introduce a protocol which routes on flat, location-independent identifiers with guaranteed scalability and low stretch. Expand
The Internet at the Speed of Light
TLDR
We propose a grand challenge for the networking research community: a speed-of-light Internet. Expand
High Throughput Data Center Topology Design
TLDR
In this paper, we present the first non-trivial upper-bound on network throughput under uniform traffic patterns for any topology with identical switches. Expand
Beyond fat-trees without antennae, mirrors, and disco-balls
TLDR
We show that state-of-the-art static networks can also achieve the performance benefits claimed by dynamic, reconfigurable designs of the same cost: for the skewed traffic workloads used to make the case for dynamic networks. Expand
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