Publications related to Differentiated services

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Localizing Traffic Differentiation

Pavlos Nikolopoulos, Muhammad Abdullah, Zeinab Shmeis

Network neutrality is important for users, content providers, policymakers, and regulators interested in understanding how network providers differentiate performance. When determining whether a network differentiates against certain traffic, it is importa ...

2023

Caching and Neutrality

Pavlos Nikolopoulos, Muhammad Abdullah

We are used to defining network neutrality as absence of traffic differentiation, like policing or shaping. These mechanisms, however, are often not what determines end-users’ quality of experience (QoE). Most content today is accessed through edge caches, ...

ACM Association for Computing Machinery2023

AstriFlash: A Flash-Based System for Online Services

Babak Falsafi, Lei Yan, Siddharth Gupta, Mark Johnathon Sutherland, Yunho Oh

Modern datacenters host datasets in DRAM to offer large-scale online services with tight tail-latency requirements. Unfortunately, as DRAM is expensive and increasingly difficult to scale, datacenter operators are forced to consider denser storage technolo ...

2022

Content Based Status Updates

Emre Telatar, Elie Najm, Rajai Nasser

Consider a stream of status updates generated by a source, where each update is of one of two types: high priority or ordinary (low priority). These updates are to be transmitted through a network to a monitor. However, the transmission policy of each pack ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Managing Tail Latency in Datacenter-Scale File Systems Under Production Constraints

Willy Zwaenepoel, Ricardo Bianchini, Maria Fernanda Borge Chavez

Distributed file systems often exhibit high tail latencies, especially in large-scale datacenters and in the presence of competing (and possibly higher priority) workloads. This paper introduces techniques for managing tail latencies in these systems, whil ...

ASSOC COMPUTING MACHINERY2019

Unified and Scalable Incremental Recommenders with Consumed Item Packs

Rachid Guerraoui, Rhicheek Patra

Recommenders personalize the web content using collaborative filtering to relate users (or items). This work proposes to unify user-based, item-based and neural word embeddings types of recommenders under a single abstraction for their input, we name Consu ...

Springer2019

Flow control for Latency-Critical RPCs

Edouard Bugnion, Evangelos Marios Kogias

In today’s modern datacenters, the waiting time spent within a server’s queue is a major contributor of the end-to-end tail latency of μs-scale remote procedure calls. In traditional TCP, congestion control handles in-network congestion, while flow control ...

2018

Energy Proportionality and Workload Consolidation for Latency-Critical Applications

Edouard Bugnion, Christos Kozyrakis, Georgios Prekas, Mia Primorac

Energy proportionality and workload consolidation are important objectives towards increasing efficiency in large-scale datacenters. Our work focuses on achieving these goals in the presence of applications with microsecond-scale tail latency requirements. ...

2015

Functional Forwarding of Channel State Information

Michael Christoph Gastpar

Based on the recent compute-and-forward technique [1], a novel communication strategy is proposed under which functions of the channel state information are forwarded along the network. Those functions are chosen such that on the one hand, they can be effi ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Differentiated services

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Localizing Traffic Differentiation

Caching and Neutrality

AstriFlash: A Flash-Based System for Online Services

Content Based Status Updates

Managing Tail Latency in Datacenter-Scale File Systems Under Production Constraints

Unified and Scalable Incremental Recommenders with Consumed Item Packs

Flow control for Latency-Critical RPCs

Modeling and Evaluation of Mobility Management in mmWave Cellular Networks

Energy Proportionality and Workload Consolidation for Latency-Critical Applications

Functional Forwarding of Channel State Information

Caching and Neutrality

Localizing Traffic Differentiation

Content Based Status Updates

AstriFlash: A Flash-Based System for Online Services

Unified and Scalable Incremental Recommenders with Consumed Item Packs

Managing Tail Latency in Datacenter-Scale File Systems Under Production Constraints

Functional Forwarding of Channel State Information

Flow control for Latency-Critical RPCs

Modeling and Evaluation of Mobility Management in mmWave Cellular Networks

Energy Proportionality and Workload Consolidation for Latency-Critical Applications