Algorithms and Architectures for Parallel Processing
ICA3PP 2016 Collocated Workshops: SCDT, TAPEMS, BigTrust, UCER, DLMCS, Granada, Spain, December 14-16, 2016, Proceedings
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Fabrizio Marozzo
Computer Science
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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...
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Book and Conference Proceedings
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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...
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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...
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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...
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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 ...
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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...
