activity
20082022
most citedAn analysis of the graph processing landscape

26 citations · 64 across the 20 of their papers we have counts for

collaborators

22 papers

cs.NI2022★ 1 cited

SmartPubSub: Content-based Pub-Sub on IPFS

Pedro Agostinho, David Dias, Luís Veiga

The InterPlanetary File System (IPFS) is a hypermedia distribution protocol enabling the creation of completely distributed applications. One of the most efficient and effective wa…

cs.NI2022★ 1 cited

Adaptive Edge Content Delivery Networks for Web-Scale File Systems

João Tiago, David Dias, Luís Veiga

The InterPlanetary File System (IPFS) is an hyper-media distribution protocol, addressed by content and identities. It aims to make the web faster, safer, and more open. The JavaSc…

cs.DC2020

Latency-Sensitive Web Service Workflows: A Case for a Software-Defined Internet

Pradeeban Kathiravelu, Peter Van Roy, Luís Veiga +1

The Internet, at large, remains under the control of service providers and autonomous systems. The Internet of Things (IoT) and edge computing provide an increasing demand and pote…

cs.DC2020

Aion: Better Late than Never in Event-Time Streams

Sérgio Esteves, Gianmarco De Francisci Morales, Rodrigo Rodrigues +2

Processing data streams in near real-time is an increasingly important task. In the case of event-timestamped data, the stream processing system must promptly handle late events th…

cs.DC2020

Palpatine: Mining Frequent Sequences for Data Prefetching in NoSQL Distributed Key-Value Stores

Sergio Esteves, Joao Nuno Silva, Luis Veiga

This paper presents PALPATINE, the first in-memory application-level cache for Distributed Key-Value (DKV) data stores, capable of prefetching data that is likely to be accessed in…

cs.DC2019★ 26 cited

An analysis of the graph processing landscape

Miguel E. Coimbra, Alexandre P. Francisco, Luís Veiga

The value of graph-based big data can be unlocked by exploring the topology and metrics of the networks they represent, and the computational approaches to this exploration take on…