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A Multi-Agent-Based Approach for Semantic Conformance and Interoperability Testing in IoV Environments. [PDF]
Sensors (Basel)Zerzzari W +3 more
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Selective ensemble method for anomaly detection based on parallel learning. [PDF]
Sci RepLiu Y +6 more
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Optimizing makespan and resource utilization in cloud computing environment via evolutionary scheduling approach. [PDF]
PLoS OneK Karim F +5 more
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Enhanced novelty approaches for resource allocation model for multi-cloud environment in vehicular Ad-Hoc networks. [PDF]
Sci RepIsaac RA +3 more
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Tuple MapReduce: Beyond Classic MapReduce
2012 IEEE 12th International Conference on Data Mining, 2012This paper proposes Tuple Map Reduce, a new foundational model extending Map Reduce with the notion of tuples. Tuple Map Reduce allows to bridge the gap between the low-level constructs provided by Map Reduce and higher-level needs required by programmers, such as compound records, sorting or joins.
Pedro Ferrera +4 more
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An Advanced MapReduce: Cloud MapReduce, Enhancements and Applications
IEEE Transactions on Network and Service Management, 2014Recently, Cloud Computing is attracting great attention due to its provision of configurable computing resources. MapReduce (MR) is a popular framework for data-intensive distributed computing of batch jobs. MapReduce suffers from the following drawbacks: 1. It is sequential in its processing of Map and Reduce Phases 2.
Devendra Dahiphale +7 more
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h-MapReduce: A Framework for Workload Balancing in MapReduce
2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA), 2013The big data analytics community has accepted MapReduce as a programming model for processing massive data on distributed systems such as a Hadoop cluster. MapReduce has been evolving to improve its performance. We identified skewed workload among workers in the MapReduce ecosystem.
Venkata Swamy Martha +2 more
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Proceedings of the 22nd International Conference on World Wide Web, 2013
JSMapReduce is an implementation of MapReduce which exploits the computing power available in the computers of the users of a web platform by giving tasks to the JavaScript engines of their web browsers. This article describes the implementation of JSMapReduce exploiting HTML 5 features, the heuristics it uses for distributing tasks to workers, and ...
Philipp Langhans +2 more
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JSMapReduce is an implementation of MapReduce which exploits the computing power available in the computers of the users of a web platform by giving tasks to the JavaScript engines of their web browsers. This article describes the implementation of JSMapReduce exploiting HTML 5 features, the heuristics it uses for distributing tasks to workers, and ...
Philipp Langhans +2 more
openaire +1 more source
IEEE Internet Computing, 2017
Don't throw the MapReduce baby out with the bath water! MapReduce represents a specific instance of a general class of data-parallel dataflow languages, in which computations are conceptualized as directed graphs, where vertices represent operations on records that flow along the directed edges.
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Don't throw the MapReduce baby out with the bath water! MapReduce represents a specific instance of a general class of data-parallel dataflow languages, in which computations are conceptualized as directed graphs, where vertices represent operations on records that flow along the directed edges.
openaire +1 more source
2017 International Conference on High Performance Computing & Simulation (HPCS), 2017
Integrity constraints (ICs) such as Functional Dependencies (FDs) or Inclusion Dependencies (INDs) are commonly used in databases to check if input relations obey to certain pre-defined quality metrics. While Data-Intensive Scalable Computing (DISC) platforms such as MapReduce commonly accept as input (semi-structured) data not in relational format ...
Matteo Interlandi +3 more
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Integrity constraints (ICs) such as Functional Dependencies (FDs) or Inclusion Dependencies (INDs) are commonly used in databases to check if input relations obey to certain pre-defined quality metrics. While Data-Intensive Scalable Computing (DISC) platforms such as MapReduce commonly accept as input (semi-structured) data not in relational format ...
Matteo Interlandi +3 more
openaire +3 more sources