B-SMART: A reference architecture for artificially intelligent autonomic smart buildings
M Genkin, JJ McArthur - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The pervasive application of artificial intelligence and machine learning algorithms is
transforming many industries and aspects of the human experience. One very important …
transforming many industries and aspects of the human experience. One very important …
B-SMART: A Reference Architecture for Autonomic Smart Buildings.
M Genkin, JJ McArthur - IOP Conference Series: Earth and …, 2022 - iopscience.iop.org
There has been increased interest in Smart and Ongoing Commissioning solutions to
address the performance drift in existing buildings. Autonomous/autonomic systems are …
address the performance drift in existing buildings. Autonomous/autonomic systems are …
Autonomic workload performance tuning in large-scale data repositories
The workload in large-scale data repositories involves concurrent users and contains
homogenous and heterogeneous data. The large volume of data, dynamic behavior and …
homogenous and heterogeneous data. The large volume of data, dynamic behavior and …
A novel optimized case-based reasoning approach with K-means clustering and genetic algorithm for predicting multi-class workload characterization in autonomic …
Data management systems are essential elements for any organization which is dealing
with large volume of data now a days. Due to increase in data volume, and its complexities …
with large volume of data now a days. Due to increase in data volume, and its complexities …
Workload‐Aware Performance Tuning for Multimodel Databases Based on Deep Reinforcement Learning
J Sun, F Ye, N Nedjah, M Zhang… - International Journal of …, 2023 - Wiley Online Library
Currently, multimodel databases are widely used in modern applications, but the default
configuration often fails to achieve the best performance. How to efficiently manage and tune …
configuration often fails to achieve the best performance. How to efficiently manage and tune …
Workload-aware performance tuning for autonomous dbmss
Optimal configuration is vital for a DataBase Management System (DBMS) to achieve high
performance. There is no one-size-fits-all configuration that works for different workloads …
performance. There is no one-size-fits-all configuration that works for different workloads …
Feedback control loop design for workload change detection in self-tuning NoSQL wide column stores
M Mozaffari, E Nazemi… - Expert Systems with …, 2020 - Elsevier
Database management systems are the main part of information systems that the size and
complexity of these systems are increased in recent years. Due to the growing complexity of …
complexity of these systems are increased in recent years. Due to the growing complexity of …
Autonomic workload change classification and prediction for big data workloads
The big data software stack based on Apache Spark and Hadoop has become mission
critical in many enterprises. Performance of Spark and Hadoop jobs depends on a large …
critical in many enterprises. Performance of Spark and Hadoop jobs depends on a large …
Autonomic Architecture for Big Data Performance Optimization
The big data software stack based on Apache Spark and Hadoop has become mission
critical in many enterprises. Performance of Spark and Hadoop jobs depends on a large …
critical in many enterprises. Performance of Spark and Hadoop jobs depends on a large …
Is it DSS or OLTP: automatically identifying DBMS workloads
The type of the workload on a database management system (DBMS) is a key consideration
in tuning the system. Allocations for resources such as main memory can be very different …
in tuning the system. Allocations for resources such as main memory can be very different …