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Big Data-Oriented PaaS Architecture with Disk-as-a-Resource Capability and Container-Based Virtualization
(Springer Netherlands, 2018-12)
[Abstract] With the increasing adoption of Big Data technologies as basic tools for the ongoing Digital Transformation, there is a high demand for data-intensive applications. In order to efficiently execute such applications, ...
BDEv 3.0: energy efficiency and microarchitectural characterization of Big Data processing frameworks
(Elsevier BV * North-Holland, 2018-09)
[Abstract] As the size of Big Data workloads keeps increasing, the evaluation of distributed frameworks becomes a crucial task in order to identify potential performance bottlenecks that may delay the processing of large ...
BDWatchdog: real-time monitoring and profiling of Big Data applications and frameworks
(Elsevier BV * North-Holland, 2018-10)
[Abstract] Current Big Data applications are characterized by a heavy use of system resources (e.g., CPU, disk) generally distributed across a cluster. To effectively improve their performance there is a critical need for ...
A pipeline architecture for feature-based unsupervised clustering using multivariate time series from HPC jobs
(Elsevier B.V., 2023-05)
[Abstract]: Time series are key across industrial and research areas for their ability to model behaviour across time, making them ideal for a wide range of use cases such as event monitoring, trend prediction or anomaly ...
Real-time resource scaling platform for Big Data workloads on serverless environments
(2020)
The serverless execution paradigm is becoming an increasingly popular option when workloads are to be deployed in an abstracted way, more specifically, without specifying any infrastructure requirements. Currently, such ...
Serverless-like platform for container-based YARN clusters
(Elsevier, 2024-06)
[Abstract]: Serverless computing is an emerging paradigm that has gained a lot of relevance in recent years, as it allows users to consume computing resources without worrying about the underlying infrastructure and pay ...