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A descriptive literature review and classification of cloud computing research
We present a descriptive literature review and classification scheme for cloud computing
research. This includes 205 refereed journal articles published since the inception of cloud …
research. This includes 205 refereed journal articles published since the inception of cloud …
MapReduce parallel programming model: a state-of-the-art survey
With the development of information technologies, we have entered the era of Big Data.
Google's MapReduce programming model and its open-source implementation in Apache …
Google's MapReduce programming model and its open-source implementation in Apache …
The internet of things: A survey from the data-centric perspective
Advances in sensor data collection technology, such as pervasive and embedded devices,
and RFID Technology have lead to a large number of smart devices which are connected to …
and RFID Technology have lead to a large number of smart devices which are connected to …
Heuristics-based query processing for large RDF graphs using cloud computing
Semantic web is an emerging area to augment human reasoning. Various technologies are
being developed in this arena which have been standardized by the World Wide Web …
being developed in this arena which have been standardized by the World Wide Web …
Scalable distributed reasoning using mapreduce
We address the problem of scalable distributed reasoning, proposing a technique for
materialising the closure of an RDF graph based on MapReduce. We have implemented our …
materialising the closure of an RDF graph based on MapReduce. We have implemented our …
A scheduling algorithm for a fog computing system with bag-of-tasks jobs: Simulation and performance evaluation
Cloud computing is evolving in such a way that it is apparent that the future of High
Performance Computing (HPC) lies in interconnected heterogeneous systems. Moreover …
Performance Computing (HPC) lies in interconnected heterogeneous systems. Moreover …
High-performance, massively scalable distributed systems using the MapReduce software framework: the SHARD triple-store
In this paper we discuss the use of the MapReduce software framework to address the
challenge of constructing high-performance, massively-scalable distributed systems. We …
challenge of constructing high-performance, massively-scalable distributed systems. We …
Sig. ma: Live views on the web of data
We demonstrate Sig. ma, both a service and an end user application to access the Web of
Data as an integrated information space. Sig. ma uses an holistic approach in which large …
Data as an integrated information space. Sig. ma uses an holistic approach in which large …
Significance of develo** Multiple Big Data Analytics Platforms with Rapid Response
S Allam - 2015 - papers.ssrn.com
This paper looks at how multiple big data platforms can be very important in achieving the
best outcome when used in rapid response operations. Big data analytics and technological …
best outcome when used in rapid response operations. Big data analytics and technological …
PigSPARQL: Map** SPARQL to pig latin
In this paper we investigate the scalable processing of complex SPARQL queries on very
large RDF datasets. As underlying platform we use Apache Hadoop, an open source …
large RDF datasets. As underlying platform we use Apache Hadoop, an open source …