Multi-agent distributed data mining approach for classifying meteorology data: case study on Iran’s synoptic weather stations
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Environmental Science and Technology"
DOI: 10.1007/s13762-017-1351-x
Abstract: Today’s organizations, industries and research centers are geographically distributed in different sites. To achieve true knowledge of business, mining massive amounts of data is necessary. In earth-related sciences such as meteorology, the date obtained from… read more here.
Keywords: meteorology; data mining; mining; distributed data ... See more keywords
Rare Diseases in Hospital Information Systems—An Interoperable Methodology for Distributed Data Quality Assessments
Sign Up to like & getrecommendations! Published in 2022 at "Methods of Information in Medicine"
DOI: 10.1055/a-2006-1018
Abstract: Abstract Background Multisite research networks such as the project “Collaboration on Rare Diseases” connect various hospitals to obtain sufficient data for clinical research. However, data quality (DQ) remains a challenge for the secondary use of… read more here.
Keywords: information; quality; methodology; rare diseases ... See more keywords
Shewhart dispersion charts made easy for mild to moderately autocorrelated normally distributed data
Sign Up to like & getrecommendations! Published in 2018 at "Quality Engineering"
DOI: 10.1080/08982112.2017.1311415
Abstract: ABSTRACT The aim is to make it easier for users to implement dispersion monitoring plans when the data are autocorrelated. If the data follow a low-order ARMA model then the same threshold for the monitoring… read more here.
Keywords: distributed data; normally distributed; plan; dispersion ... See more keywords
A Survey of Distributed Data Stream Processing Frameworks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2946884
Abstract: Big data processing systems are evolving to be more stream oriented where each data record is processed as it arrives by distributed and low-latency computational frameworks on a continuous basis. As the stream processing technology… read more here.
Keywords: processing frameworks; data stream; stream processing; distributed data ... See more keywords
A Hybrid Learning Framework for Service Function Chaining Across Geo-Distributed Data Centers
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3024135
Abstract: Service function chaining (SFC) focuses mainly on deploying various network functions in geographically distributed data centers and providing interconnect routing among them. Traditional (convex optimization-based) SFC algorithms exhibit some disadvantages on the scalability and accuracy.… read more here.
Keywords: drl; service function; distributed data; function chaining ... See more keywords
Distributed Data-Driven Predictive Control for Hybrid Connected Vehicle Platoons With Guaranteed Robustness and String Stability
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3152165
Abstract: As a critical component of the Internet of Things, connected automated vehicles (CAVs) are progressively gaining attention for their benefits in terms of increased safety and reduced traffic congestion. In this article, a novel distributed… read more here.
Keywords: string stability; data driven; predictive control; stability ... See more keywords
Edge-Cloud Co-Evolutionary Algorithms for Distributed Data-Driven Optimization Problems.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3219452
Abstract: Surrogate-assisted evolutionary algorithms (EAs) have been proposed in recent years to solve data-driven optimization problems. Most existing surrogate-assisted EAs are for centralized optimization and do not take into account the challenges brought by the distribution… read more here.
Keywords: driven optimization; optimization; data driven; optimization problems ... See more keywords
Distributed Cost-Aware Fault-Tolerant Load Balancing in Geo-Distributed Data Centers
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Green Communications and Networking"
DOI: 10.1109/tgcn.2021.3107915
Abstract: Many critical e-commerce and financial services running on distributed data centers require high availability. Recent surveys show that the frequency and duration of failures (either partial or complete) at a data center are increasing over… read more here.
Keywords: data centers; cost; load balancing; fault ... See more keywords
Energy-Aware Cloud Workflow Applications Scheduling With Geo-Distributed Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2020.2965106
Abstract: Electricity prices differ during different time periods and change from place to place. Cloud workflow applications often require geo-distributed data which is transmitted among heterogeneous servers in intra- and inter- data centers. Such varying electricity… read more here.
Keywords: cloud workflow; distributed data; energy; workflow applications ... See more keywords
A Framework for Several Electricity Retailers Cooperatively Implement Demand Response to Distributed Data Center
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2022.3189835
Abstract: A distributed data center cluster (DDCC) consists of data centers that are geographically dispersed while managed by the same company. A DDCC is composed of several data centers in different regions, so it purchases electricity… read more here.
Keywords: electricity retailers; several electricity; data center; distributed data ... See more keywords
Energy Consumption and Performance Optimized Task Scheduling in Distributed Data Centers
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3128430
Abstract: A growing number of organizations are hosting their software applications in distributed data centers (DCs) in the cloud, for faster response time and higher energy efficiency. The dramatic increase of user tasks, however, poses a… read more here.
Keywords: response time; energy; distributed data; data centers ... See more keywords