Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Towards workload shift detection and prediction for autonomic databases
Today's DBMSs: how autonomic are they
MeT: workload aware elasticity for NoSQL
Automated anomaly detection and performance modeling of enterprise applications
Interoperability of multiple autonomous databases
Generating Flexible Workloads for Graph Databases
A concise introduction to autonomic computing
Characterizing, modeling, and generating workload spikes for stateful services
Comprehensive logfiles for autonomic systems
Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS Diagnosis
Analysis of the Characteristics of Production Database Workloads and Comparison with the TPC Benchmarks
Task Scheduling for Highly Concurrent Analytical and Transactional Main-Memory Workloads
Autonomia: an autonomic computing environment
Using Reinforcement Learning for Autonomic Resource Allocation in Clouds: Towards a Fully Automated Workflow
Schism: a Workload-Driven Approach to Database Replication and Partitioning
A Top-Down Approach to Achieving Performance Predictability in Database Systems
Resource Central: Understanding and Predicting Workloads for Improved Resource Management in Large Cloud Platforms
Hierarchical Self-Tuning of Concurrency and Resource Units in Data-Analytics Frameworks
The Case for Automatic Database Administration using Deep Reinforcement Learning
Research challenges of autonomic computing
Workload Classification for Efficient Auto-Scaling of Cloud Resources
Bit-interleaved low density spread (BI-LDS) transmission
NEURAL EFFECTS OF COMPASSION TRAINING
A New Technique to Manage Big Bioinformatics Data Using Genetic Algorithms
Cross-view and multi-view gait recognitions based on view transformation model using multi-layer perceptron
CORDS: automatic discovery of correlations and soft functional dependencies