Algorithms and Architectures for Parallel Processing
ICA3PP 2016 Collocated Workshops: SCDT, TAPEMS, BigTrust, UCER, DLMCS, Granada, Spain, December 14-16, 2016, Proceedings
Page
%P
-
Chapter
A Peer-to-Peer Framework for Supporting MapReduce Applications in Dynamic Cloud Environments
MapReduce is a programming model widely used in Cloud computing environments for processing large data sets in a highly parallel way. MapReduce implementations are based on a master-slave model. The failure of...
-
Chapter and Conference Paper
Enabling Cloud Interoperability with COMPSs
The advent of Cloud computing has given to researchers the ability to access resources that satisfy their growing needs, which could not be satisfied by traditional computing resources such as PCs and locally ...
-
Chapter and Conference Paper
Using Clouds for Scalable Knowledge Discovery Applications
Cloud platforms provide scalable processing and data storage and access services that can be exploited for implementing high-performance knowledge discovery systems and applications. This paper discusses the u...
-
Article
ServiceSs: An Interoperable Programming Framework for the Cloud
The rise of virtualized and distributed infrastructures has led to new challenges to accomplish the effective use of compute resources through the design and orchestration of distributed applications. As legac...
-
Book and Conference Proceedings
-
Chapter and Conference Paper
Geocon: A Middleware for Location-Aware Ubiquitous Applications
A core functionality of any location-aware ubiquitous system is storing, indexing, and retrieving information about entities that are commonly involved in these scenarios, such as users, places, events and oth...
-
Article
Exploiting in-memory storage for improving workflow executions in cloud platforms
The Data Mining Cloud Framework (DMCF) is an environment for designing and executing data analysis workflows in cloud platforms. Currently, DMCF relies on the default storage of the public cloud provider for a...
-
Chapter
Implementing MapReduce Applications in Dynamic Cloud Environments
MapReduce is one of the most popular programming models for parallel data processing in Cloud environments. Standard MapReduce implementations are based on centralized master-slave architectures that do not co...
-
Chapter
Big Data Analysis on Clouds
The huge amount of data generated, the speed at which it is produced, and its heterogeneity in terms of format, represent a challenge to the current storage, process and analysis capabilities. Those data volum...
-
Article
Analyzing polarization of social media users and news sites during political campaigns
Social media analysis is a fast growing research area aimed at extracting useful information from social networks. Recent years have seen a great interest from academic and business world in using social media...
-
Chapter and Conference Paper
Appraising SPARK on Large-Scale Social Media Analysis
Software systems for social media analysis provide algorithms and tools for extracting useful knowledge from user-generated social media data. ParSoDA (Parallel Social Data Analytics) is a Java library for dev...
-
Article
ParSoDA: high-level parallel programming for social data mining
Software systems for social data mining provide algorithms and tools for extracting useful knowledge from user-generated social media data. ParSoDA (Parallel Social Data Analytics) is a high-level library for ...
-
Reference Work Entry In depth
Cloud Computing for Big Data Analysis
-
Reference Work Entry In depth
Workflow Systems for Big Data Analysis
-
Chapter and Conference Paper
Develo** a Cloud-Based Algorithm for Analyzing the Polarization of Social Media Users
Social media analysis is a fast growing research area aimed at extracting useful information from social media. Several opinion mining techniques have been developed for capturing the mood of social media user...
-
Chapter and Conference Paper
Discovering Travelers’ Purchasing Behavior from Public Transport Data
In recent years, the demand for collective mobility services is characterized by a significant growth. The long-distance coach market has undergone an important change in Europe since FlixBus adopted a dynamic...
-
Chapter and Conference Paper
A Novel Data-Centric Programming Model for Large-Scale Parallel Systems
This paper presents the main features and the programming constructs of the DCEx programming model designed for the implementation of data-centric large-scale parallel applications on Exascale computing platforms...
-
Chapter and Conference Paper
Cloud Computing for Enabling Big Data Analysis
Every day billions of people access web sites, blogs, and social media. Often they use their mobile devices and produce huge amount of data that can be effectively exploited for extracting valuable information...
-
Article
Open AccessUsing social media for sub-event detection during disasters
Social media platforms have become fundamental tools for sharing information during natural disasters or catastrophic events. This paper presents SEDOM-DD (Sub-Events Detection on sOcial Media During Disasters...
-
Living Reference Work Entry In depth
Workflow Systems for Big Data Analysis
