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Found 7 papers, 1 papers with code
How Does It Function? Characterizing Long-term Trends in Production Serverless Workloads
The first trace is derived from Huawei's internal workloads and contains detailed per-second statistics for 200 functions running across multiple Huawei cloud data centers.
Benchmarking and Performance Modelling of MapReduce Communication Pattern
Understanding and predicting the performance of big data applications running in the cloud or on-premises could help minimise the overall cost of operations and provide opportunities in efforts to identify performance bottlenecks.
Integrating Know-How into the Linked Data Cloud
We describe a framework for representing generic know-how as Linked Data and for automatically acquiring this representation from existing resources on the Web.
A Linked Data Scalability Challenge: Concept Reuse Leads to Semantic Decay
In this paper we focus on a measure of quality which is negatively affected by the increase of the available resources.
Autonomous Fault Detection in Self-Healing Systems using Restricted Boltzmann Machines
Autonomously detecting and recovering from faults is one approach for reducing the operational complexity and costs associated with managing computing environments.
A Semantic Web of Know-How: Linked Data for Community-Centric Tasks
This paper proposes a novel framework for representing community know-how on the Semantic Web.
The Royal Birth of 2013: Analysing and Visualising Public Sentiment in the UK Using Twitter
To this end, a framework for analysing and visualising public sentiment from a Twitter corpus is developed.
