A survey on distributed machine learning

J Verbraeken, M Wolting, J Katzy… - Acm computing surveys …, 2020 - dl.acm.org
The demand for artificial intelligence has grown significantly over the past decade, and this
growth has been fueled by advances in machine learning techniques and the ability to …

Remote sensing big data computing: Challenges and opportunities

Y Ma, H Wu, L Wang, B Huang, R Ranjan… - Future Generation …, 2015 - Elsevier
As we have entered an era of high resolution earth observation, the RS data are undergoing
an explosive growth. The proliferation of data also give rise to the increasing complexity of …

Large-scale cluster management at Google with Borg

A Verma, L Pedrosa, M Korupolu… - Proceedings of the …, 2015 - dl.acm.org
Google's Borg system is a cluster manager that runs hundreds of thousands of jobs, from
many thousands of different applications, across a number of clusters each with up to tens of …

Pregel: a system for large-scale graph processing

G Malewicz, MH Austern, AJC Bik, JC Dehnert… - Proceedings of the …, 2010 - dl.acm.org
Many practical computing problems concern large graphs. Standard examples include the
Web graph and various social networks. The scale of these graphs-in some cases billions of …

[BOOK][B] Introduction to information retrieval

CD Manning - 2008 - diglib.globalcollege.edu.et
Introduction to Information Retrieval is the first textbook with a coherent treatment of classical
and web information retrieval, including web search and the related areas of text …

[HTML][HTML] On global electricity usage of communication technology: trends to 2030

ASG Andrae, T Edler - Challenges, 2015 - mdpi.com
This work presents an estimation of the global electricity usage that can be ascribed to
Communication Technology (CT) between 2010 and 2030. The scope is three scenarios for …

[BOOK][B] Modern information retrieval

R Baeza-Yates, B Ribeiro-Neto - 1999 - people.ischool.berkeley.edu
Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …

MapReduce: simplified data processing on large clusters

J Dean, S Ghemawat - Communications of the ACM, 2008 - dl.acm.org
MapReduce is a programming model and an associated implementation for processing and
generating large datasets that is amenable to a broad variety of real-world tasks. Users …

MapReduce: Simplified data processing on large clusters

J Dean, S Ghemawat - 2004 - usenix.org
MapReduce is a programming model and an associated implementation for processing and
generating large data sets. Users specify a _map_ function that processes a key/value pair …

[PDF][PDF] Distributed systems principles and paradigms

M Van Steen, A Tanenbaum - Network, 2002 - academia.edu
Distributed Systems Principles and Paradigms Chapter 01: Introduction Distributed System:
Definition Goals of Distributed System Page 1 Distributed Systems Principles and Paradigms …