Results 61 to 70 of about 9,135 (230)
Plant‐wide processes monitoring and fault tracing based on causal graphical model
IET Control Theory &Applications, Volume 18, Issue 17, Page 2322-2334, November 2024.A plant‐wide monitoring and diagnostic framework based on the multi‐variate statistical analysis and causal graphical inference is proposed. Optimized process decomposition is performed by combining the mechanistic knowledge and historical data from the perspective of improving the monitoring performance.
Xiaolu Chen, Ying Yang, Jing Wang
wiley +1 more source
Comparing Spark vs MPI/OpenMP On Word Count MapReduce [PDF]
arXiv, 2018 Spark provides an in-memory implementation of MapReduce that is widely used in the big data industry. MPI/OpenMP is a popular framework for high performance parallel computing. This paper presents a high performance MapReduce design in MPI/OpenMP and uses that to compare with Spark on the classic word count MapReduce task.
arxiv
Pre-Processing and Modeling Tools for Bigdata
Foundations of Computing and Decision Sciences, 2016 Modeling tools and operators help the user / developer to identify the processing field on the top of the sequence and to send into the computing module only the data related to the requested result.
Hashem Hadi, Ranc Daniel
doaj +1 more source
A Distributed Approach for High-Dimensionality Heterogeneous Data Reduction
IEEE Access, 2019 The recent explosion of data size in number of records and attributes has triggered the development of a number of Big Data analytics as well as parallel data processing methods and algorithms.
Rania Mkhinini Gahar +3 more
doaj +1 more source
Enhancing cloud security: A study on ensemble learning‐based intrusion detection systems
IET Communications, Volume 18, Issue 16, Page 950-965, October 2024.The proposed system uses an ensemble learning algorithm. This is a machine learning technique that collects information from weak classifiers and creates one robust classifier with higher accuracy than the weak individual classifiers. Abstract Cloud computing has become an essential technology for people and enterprises due to the simplicity and rapid ...
Maha Al‐Sharif, Anas Bushnag
wiley +1 more source
Wireless MapReduce Distributed Computing [PDF]
2018 IEEE International Symposium on Information Theory (ISIT), 2018 Motivated by mobile edge computing and wireless data centers, we study a wireless distributed computing framework where the distributed nodes exchange information over a wireless interference network. Our framework follows the structure of MapReduce. This framework consists of Map, Shuffle, and Reduce phases, where Map and Reduce are computation phases
Fan Li, Jinyuan Chen, Zhiying Wang
openaire +4 more sources
Applying MapReduce to Conformance Checking
Труды Института системного программирования РАН, 2018 Process mining is a relatively new research field, offering methods of business processes analysis and improvement, which are based on studying their execution history (event logs).
I. S. Shugurov, A. A. Mitsyuk
doaj +1 more source
IET Wireless Sensor Systems, Volume 14, Issue 5, Page 181-194, October 2024.The 5G‐enabled sensor network systems make it possible to connect cyber and real ‘things’ in many ways. Even so, the flow of data between 5G‐enabled sensor devices brings big data environment problems, such as huge amounts of data, duplicated data, a lack of scalability etc. Some of these problems are as follows. It is hard to keep an eye on 5G‐enabled
Anand Singh Rajawat +4 more
wiley +1 more source
MapReduce for Integer Factorization [PDF]
arXiv, 2010 Integer factorization is a very hard computational problem. Currently no efficient algorithm for integer factorization is publicly known. However, this is an important problem on which it relies the security of many real world cryptographic systems. I present an implementation of a fast factorization algorithm on MapReduce. MapReduce is a programming
arxiv
Full Support for Efficiently Mining Multi-Perspective Declarative Constraints from Process Logs
Information, 2019 Declarative process management has emerged as an alternative solution for describing flexible workflows. In turn, the modelling opportunities with languages such as Declare are less intuitive and hard to implement.
Christian Sturm +2 more
doaj +1 more source