Dynamic Rate Control in the Kafka System. | 1 | 0.35 | 2020 |
Fast. Efficient Performance Predictions for Big Data Applications | 0 | 0.34 | 2019 |
A Holistic Energy-Efficient Real-Time Scheduler for Mixed Stream and Batch Processing Workloads | 0 | 0.34 | 2019 |
Probabilistic Management of Late Arrival of Events. | 1 | 0.35 | 2018 |
Scalable Distributed Top-k Join Queries in Topic-Based Pub/Sub Systems | 0 | 0.34 | 2018 |
ORiON: Online ResOurce Negotiator for Multiple Big Data Analytics Frameworks | 1 | 0.35 | 2018 |
On the Fly Load Balancing to Address Hot Topics in Topic-Based Pub/Sub Systems | 0 | 0.34 | 2018 |
A Pareto-based scheduler for exploring cost-performance trade-offs for MapReduce workloads. | 1 | 0.36 | 2017 |
Dione: Profiling spark applications exploiting graph similarity | 1 | 0.35 | 2017 |
ExpREsS: EneRgy Efficient Scheduling of Mixed Stream and Batch Processing Workloads | 2 | 0.36 | 2017 |
A Framework For Efficient Energy Scheduling Of Spark Workloads | 1 | 0.34 | 2017 |
Maximizing Determinism in Stream Processing Under Latency Constraints. | 7 | 0.47 | 2017 |
INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data. | 0 | 0.34 | 2016 |
ChEsS: Cost-Effective Scheduling Across Multiple Heterogeneous Mapreduce Clusters | 8 | 0.47 | 2016 |
Intelligent Urban Data Monitoring for Smart Cities. | 9 | 0.57 | 2016 |
Pareto-Based Scheduling of MapReduce Workloads | 1 | 0.36 | 2016 |
Dynamic Load Balancing Techniques for Distributed Complex Event Processing Systems. | 4 | 0.38 | 2016 |
Insights on a Scalable and Dynamic Traffic Management System. | 10 | 0.55 | 2015 |
A Framework for Cost-Effective Scheduling of MapReduce Applications | 2 | 0.37 | 2015 |
Towards Detection of Faulty Traffic Sensors in Real-Time. | 3 | 0.44 | 2015 |
Elastic complex event processing exploiting prediction | 12 | 0.61 | 2015 |
Dynamic reduce task adjustment for hadoop workloads | 1 | 0.36 | 2015 |
Real-Time Scheduling of Skewed MapReduce Jobs in Heterogeneous Environments. | 14 | 0.66 | 2014 |