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01/11/2023
Uncertainty Estimation based on Geometric Separation
In machine learning, accurately predicting the probability that a specif...
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11/18/2022
Virtual Service Embedding with Time-Varying Load and Provable Guarantees
Deploying services efficiently while satisfying their quality requiremen...
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11/03/2022
SQUID: Faster Analytics via Sampled Quantiles Data-structure
Measurement is a fundamental enabler of network applications such as loa...
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06/23/2022
A Geometric Method for Improved Uncertainty Estimation in Real-time
Machine learning classifiers are probabilistic in nature, and thus inevi...
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05/26/2022
QUIC-FL: Quick Unbiased Compression for Federated Learning
Distributed Mean Estimation (DME) is a fundamental building block in com...
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03/17/2022
False Negative Awareness in Indicator-based Caching Systems
Distributed caching systems such as content distribution networks often ...
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02/15/2022
Parallel Virtual Machines Placement with Provable Guarantees
Network Function Virtualization (NFV) carries the potential for on-deman...
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02/01/2022
Self-Adjusting Ego-Trees Topology for Reconfigurable Datacenter Networks
State-of-the-art topologies for datacenters (DC) and high-performance co...
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07/19/2021
Limited Associativity Makes Concurrent Software Caches a Breeze
Software caches optimize the performance of diverse storage systems, dat...
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05/18/2021
Lightweight Robust Size Aware Cache Management
Modern key-value stores, object stores, Internet proxy caches, as well a...
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04/03/2021
Self-adjusting Advertisement of Cache Indicators with Bandwidth Constraints
Cache advertisements reduce the access cost by allowing users to skip th...
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02/24/2021
SALSA: Self-Adjusting Lean Streaming Analytics
Counters are the fundamental building block of many data sketching schem...
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02/02/2021
On the Power of False Negative Awareness in Indicator-based Caching Systems
Distributed caching systems such as content distribution networks often ...
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05/23/2020
Routing Oblivious Measurement Analytics
Network-wide traffic analytics are often needed for various network moni...
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04/21/2020
Faster and More Accurate Measurement through Additive-Error Counters
Counters are a fundamental building block for networking applications su...
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10/08/2019
Reducing Service Deployment Cost Through VNF Sharing
Thanks to its computational and forwarding capabilities, the mobile netw...
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06/26/2019
Verifying Robustness of Gradient Boosted Models
Gradient boosted models are a fundamental machine learning technique. Ro...
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10/05/2018
Memento: Making Sliding Windows Efficient for Heavy Hitters
Cloud operators require real-time identification of Heavy Hitters (HH) a...
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08/10/2018
Efficient Measurement on Programmable Switches Using Probabilistic Recirculation
Programmable network switches promise flexibility and high throughput, e...
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08/10/2018
Efficient Measurement on Programmable SwitchesUsing Probabilistic Recirculation
Programmable network switches promise flexibility and high throughput, e...
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04/14/2018
Scheduling Advertisement Delivery in Vehicular Networks
Vehicular users are emerging as a prime market for targeted advertisemen...
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12/05/2017
Pay for a Sliding Bloom Filter and Get Counting, Distinct Elements, and Entropy for Free
For many networking applications, recent data is more significant than o...
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12/02/2015
