AI Lab logo
menu MENU
Home > News > All News > Networked & Distributed Computing

Networked & Distributed Computing

News Feed

“Hiding” network latency for fast memory in data centers

A new system called Leap earned a Best Paper award at USENIX ATC ‘20 for producing remote memory access speed on par with local machines over data center networks.

Enabling fairer data clusters for machine learning

Their findings reduce average job completion time by up to 95% when the system load is high, while treating every job fairly.

Big data, small footprint

How changing the rules of computing could lighten Big Data’s impact on the internet.

Five papers by CSE researchers presented at NSDI

The teams designed systems for faster and more efficient distributed and large-scale computing.

$1M grant to develop U-M high-capacity research network

The team will develop a secure, data-intensive network solution to effectively transport extremely high volumes of research data on and off campus.

Facebook Fellowship for improving high-demand web services

Akshitha Sriraman works to enable hyperscale computing on high-demand web services.

Award for helping popular websites better direct their internet traffic

Edge Fabric offers providers real-time performance analysis and a way to incorporate this data into routing decisions.

Chowdhury receives VMWare Award to further research on cluster-wide memory efficiency

Chowdhury’s work has produced important results that can make memory in data centers both cheaper and more efficient.

Army Award to speed up distributed methods over networks

Danai Koutra has earned an Army Young Investigator Award to speed up graph methods for distributed applications.

All things can be part of the Internet of Things with new RFID system

Sensing technology could keep seniors safe.

Using drones, a new software tool can bring LTE networks anywhere

SkyCore is a complete software solution to deploying mobile networks on unmanned drones

Designing a flexible future for massive data centers

A new approach recreates the power of a large server by linking up and pooling the resources of smaller computers with fast networking technology.

Michigan researchers awarded 2018 Applied Networking Research Prize for their work on speeding up the mobile web

The researchers, including Prof. Harsha Madhyastha and CSE graduate students Vaspol Ruamviboonsuk and Muhammed Uluyol, received prize for their paper, “Vroom: Accelerating the Mobile Web with Server-Aided Dependency Resolution.”

Net neutrality repeal: Michigan Engineers weigh in

On Dec. 14, the FCC will vote on the rules that today ensure internet service providers treat all web content equally.

Accelerating the mobile web

New Vroom software could double its speed.

A breakthrough for large scale computing

New software finally makes ‘memory disaggregation’ practical.

Open ports act as security wormholes into mobile devices

Researchers have for the first time characterized a widespread vulnerability in the software that runs on mobile devices.

Shadows in the Dark Web

Secrets lurk in the dark web, the 95 percent of the internet that most of us can't see. One U-M professor is bringing some of those secrets to light, making the digital and the real world a little safer.

Several Michigan Papers Presented at 2016 USENIX Security Symposium

A total of five papers authored by CSE researchers were presented.

Tracking and mitigating tail latency in data centers

High tail latency has been identified as one of the key challenges facing modern data center design.

Proxy optimizes webpage loading for better user experience

Klotski seeks to improve users’ perceptions of how quickly a page loads by maximizing the amount of important content on the page that is fetched and displayed within the user’s attention span.

Thorny technical questions remain for net neutrality

Not all online traffic is the same; should we treat it the same anyway?

GridWatch named finalist in Vodafone's eighth annual Wireless Innovation competition

GridWatch can detect power outages by monitoring changes to its own power state, locally verifying these outages using a variety of sensors that reduce the likelihood of false power outage reports, and corroborating actual reports with other phones through data aggregation in the cloud.

Michael J. Cafarella selected for Sloan Research Fellowship

He has built software systems for information extraction, database integration, and feature engineering and applied these to problems in the social sciences.

Mosharaf Chowdhury receives Google Faculty Research Award

The project aims to create a new software stack for analytics over geo-distributed datasets.

Barzan Mozafari receives NSF CAREER Award to improve predictability of database systems

Prof. Mozafari is passionate about building large-scale data-intensive systems that are more scalable, more robust, and more predictable.

Secure your website now: Let's Encrypt enters Public Beta

Let's Encrypt allows anyone to request a free website security certificate without needing an invitation.

Censys enables fast searching of actionable internet data

The software enables users to ask questions about the hosts and networks that compose the Internet and get an immediate reply.

$3.46M to Combine Machine Learning on Big Data with Physical Simulations

The focal point of the project will be a new computing resource, called ConFlux, which is designed to enable supercomputer simulations to interface with large datasets while running.

Sneak attack through smartphone shared memory

A weakness believed to exist in Android, Windows and iOS operating systems could be used to obtain personal information from unsuspecting users, research at the University of Michigan has shown.

Prof. Raj Nadakuditi receives AFOSR Young Investigator Award

Prof. Nadakuditi plans to provide an analytical characterization of the fundamental limits of multi-modal sensing of weak signals.

Research about resilient sensor networks for power plant monitoring is recognized with Best Track Paper Award

The sensor network addressed in the paper assesses the operating conditions of a power plant. It is intended to measure process variables and assess plant status.

Next-generation Systems Information Theory

This MURI has the goal of laying the foundation for a new systems information theory that applies to general controlled information gathering and inference systems.

Prof. Wayne Stark and Changhun Bae receive 2011 JCN Best Paper Award

Stark’s research relates to wireless networks and understanding their fundamental limits in terms of energy efficiency and bandwidth efficiency.