Abstract Uploading all IoT Big Data to a centralized cloud for data analytics is infeasible
because of the excessive latency and bandwidth limitation of the Internet. A promising …

Disclosed are systems and methods for managing queries on on-line advertisement data.
The system includes a query engine device for receiving queries from and outputting query …

Given a point and a set of points, the kNN operation finds the closest points to in. It is a
computational intensive task with a large range of applications such as knowledge discovery …

Data heterogeneity and irregularity are key characteristics of big data applications that often
overwhelm the existing software and hardware infrastructures. In such context, the exibility …

Straggler task detection is one of the main challenges in applying MapReduce for
parallelizing and distributing large-scale data processing. It is defined as detecting running …

Context MapReduce is a processing model used in Big Data to facilitate the analysis of large
data under a distributed architecture. Objective The aim of this study is to identify and …

Untitled Page 1 Page 2 92 sHE~L~ A. Gm~AC~ whether there are other subAFLs and which
properties they do or do not share witty. the whole family. Here we define and study a doubly …

Abstract Within the Hadoop ecosystem, MapReduce stands as a cornerstone for managing,
processing, and mining large-scale datasets. Yet, the absence of efficient solutions for …

We tackle the problem of predicting the performance of MapReduce applications designing
accurate progress indicators, which keep programmers informed on the percentage of …

Hadoop MapReduce is a framework to process vast amounts of data in the cluster of
machines in a reliable and fault-tolerant manner. Since being aware of the runtime of a job is …