Results 71 to 80 of about 9,555 (241)
Power consumption state evaluation of important power customers based on AHP‐TOPSIS algorithm
The Journal of Engineering, Volume 2024, Issue 11, November 2024.Abstract In the construction of a new power system, the identification and evaluation of power consumption status of power customers will become an important basis for them to participate in the emerging businesses such as demand response and virtual power plants.
Xixiang Zhang, Qi Meng, Jun Yang
wiley +1 more source
An Experimental Evaluation of Performance of A Hadoop Cluster on Replica Management [PDF]
arXiv, 2014 Hadoop is an open source implementation of the MapReduce Framework in the realm of distributed processing. A Hadoop cluster is a unique type of computational cluster designed for storing and analyzing large data sets across cluster of workstations. To handle massive scale data, Hadoop exploits the Hadoop Distributed File System termed as HDFS. The HDFS
arxiv
Computer-Aided Civil and Infrastructure Engineering, Volume 39, Issue 21, Page 3206-3224, 1 November 2024.Abstract The proliferation of mobile phones has generated vast quantities of cellular signaling data (CSD), covering extensive spatial areas and populations. These data, containing spatiotemporal information, can be employed to identify and analyze intercity transport modes, providing valuable insights for understanding travel distribution and behavior.
Fan Ding +6 more
wiley +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
Energy-Aware Task Scheduling Using Hybrid Firefly-BAT (FFABAT) in Big Data
Cybernetics and Information Technologies, 2018 In modern times there is an increasing trend of applications for handling Big data. However, negotiating with the concepts of the Big data is an extremely difficult issue today. The MapReduce framework has been in focus recently for serious consideration.
Senthilkumar M.
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
Steam computing paradigm: Cross‐layer solutions over cloud, fog, and edge computing
IET Wireless Sensor Systems, Volume 14, Issue 5, Page 157-180, October 2024.While fog computing mitigates some of the problems facing the achievement of prospective IoT Cyber Physical Systems (CPS) applications, fog nodes, such as edge data centres, smart gateways, and base stations may not encounter the quality level of future IoT‐ CPS applications in terms of latency, throughput, and energy constraints unless all fog, cloud,
Abir Mchergui +4 more
wiley +1 more source
Data-Intensive Workload Consolidation on Hadoop Distributed File System [PDF]
, 2013 Workload consolidation, sharing physical resources among multiple workloads, is a promising technique to save cost and energy in cluster computing systems. This paper highlights a few challenges of workload consolidation for Hadoop as one of the current state-of-the-art data-intensive cluster computing system.
arxiv +1 more source
IOSR Journal of Computer Engineering, 2016 In today's world, require Data Recovery system is most challenging aspects in the internet or World Wide Webapplications. Now a day's evens a Tera Bytes (TB) and Peta Bytes(PB) of data is not enough for storing large chunks of database(DB). Hence IT industries use concept is known as Hadoop in their applications. This approach has been adopted in Cloud
openaire +1 more source
Fused mean structure learning in data integration with dependence
Canadian Journal of Statistics, Volume 52, Issue 3, Page 939-961, September 2024.Abstract Motivated by image‐on‐scalar regression with data aggregated across multiple sites, we consider a setting in which multiple independent studies each collect multiple dependent vector outcomes, with potential mean model parameter homogeneity between studies and outcome vectors. To determine the validity of a joint analysis of these data sources,
Emily C. Hector
wiley +1 more source