Intelligent Resource Management for Large-scale Data Stream Processing
With the increasing trend of using cloud computing resources, the efficient utilization of these resources becomes more and more important. Working with data stream processing is a paradigm gaining in popularity, with tools such as Apache Spark Streaming or Kafka widely available, and companies are...
Main Author: | Stein, Oliver |
---|---|
Format: | Others |
Language: | English |
Published: |
Uppsala universitet, Institutionen för informationsteknologi
2019
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-391927 |
Similar Items
-
Performance Prediction for Enabling Intelligent Resource Management on Big Data Processing Workflows
by: Obeso Duque, Aleksandra
Published: (2018) -
CAN bus Data Stream Wrapper
by: Yang, Yang
Published: (2017) -
Improving the Applicability of Variational Deep Embedding in Unsupervised Large-Scale Data Clustering
by: Zhu, Wenfei
Published: (2020) -
Improving the Applicability of Variational Deep Embedding in Unsupervised Large-Scale Data Clustering
by: Zhu, Wenfei
Published: (2020) -
Conflating Best-Source-Selector for telemetry data streams with inter-stream error correction of sounding rockets
by: Moritz, Aicher
Published: (2019)