14 citations · 16 across the 7 of their papers we have counts for
6 papers · 1 filter
Towards Smart e-Infrastructures, A Community Driven Approach Based on Real Datasets
Prashant Singh, Mona Mohamed Elamin, Salman Toor
e-Infrastructures have powered the successful penetration of e-services across domains, and form the backbone of the modern computing landscape. e-Infrastructure is a broad term us…
Smart Resource Management for Data Streaming using an Online Bin-packing Strategy
Oliver Stein, Ben Blamey, Johan Karlsson +4
Data stream processing frameworks provide reliable and efficient mechanisms for executing complex workflows over large datasets. A common challenge for the majority of currently av…
Resource- and Message Size-Aware Scheduling of Stream Processing at the Edge with application to Realtime Microscopy
Ben Blamey, Ida-Maria Sintorn, Andreas Hellander +1
Whilst computational resources at the cloud edge can be leveraged to improve latency and reduce the costs of cloud services for a wide variety mobile, web, and IoT applications; su…
Adapting The Secretary Hiring Problem for Optimal Hot-Cold Tier Placement under Top- Workloads
Ben Blamey, Fredrik Wrede, Johan Karlsson +2
Top-K queries are an established heuristic in information retrieval. This paper presents an approach for optimal tiered storage allocation under stream processing workloads using t…
Apache Spark Streaming, Kafka and HarmonicIO: A Performance Benchmark and Architecture Comparison for Enterprise and Scientific Computing
Ben Blamey, Andreas Hellander, Salman Toor
This paper presents a benchmark of stream processing throughput comparing Apache Spark Streaming (under file-, TCP socket- and Kafka-based stream integration), with a prototype P2P…
On-Demand Virtual Research Environments using Microservices
Marco Capuccini, Anders Larsson, Matteo Carone +5
The computational demands for scientific applications are continuously increasing. The emergence of cloud computing has enabled on-demand resource allocation. However, relying sole…