Proactive Autoscaling for Edge Computing Systems with Kubernetes

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Happy to announce our newly accepted article: Accepted at the 14th IEEE/ACM International Conference on Utility and Cloud Computing UCC 2021. Abstract With the emergence of the Internet of Things and 5G technologies, the edge computing paradigm is playing increasingly important roles with better availability, latency-control and performance. However, existing autoscaling tools for edge computing…

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Applied Cloud Computing, Data Science, Data-Intensive Computing, HASTE, News, Software

Xiaobo Zhang joins the lab

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We are happy to welcome Dr Xiaobo Zhang to the lab. Xiaobo will be working in the HASTE project, developing new methods for intelligent management of data streams composed of scientific data objects such as images. He brings expertise on working on compressed data in machine learning and edge computing. Xiaobo Zhao received the M.S….

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HASTE, News

Smart Resource Management for Data Streaming using an Online Bin-packing Strategy

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The stream processing framework HarmonicIO is a prototype that addresses the needs for processing streams based on relatively large individual objects. In this regard, it is a specialized streaming framework well-suited for scientific workflows. Salman Toor and Oliver Stein presented this work, and our latest publication  Smart Resource Management for Data Streaming using an Online…

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Applied Cloud Computing, Data-Intensive Computing, HASTE, News, publication, Software

We welcome Ben Blamey to the group!

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We are thrilled to welcome Dr. Ben Blamey as a postdoc in the group. Ben will work on our SSF-funded HASTE project, with intelligent systems for setting up and managing information hierarchies in very large volumes of image data from microscopy, read mroe about Ben and the project here: Ben Blamey joins the team to…

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HASTE, News

Lovisa Lugnegård has started a MSc thesis project within the HASTE project

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We are welcoming Lovisa Lugnegård to the group this semester. Lovisa will be doing a MSc thesis project of relevance to the HASTE project. She will design and prototype a cloud-based simulator capable of streaming already generated microscopy data, varying a wide range of parameters and emulating realistic scenarios when running high-content imaging platforms.

HASTE, News