ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset · unknown
Cloud-edge acceleration strategies for discrete event simulation in manufacturing systemsIndustrial manufacturing simulations are constructive tools for emulating and stress-testing real workflows such that bottlenecks decrease when implementing or modifying the physical systems they represent. They are beneficial at generating unforeseen information, drawing conclusions from stochastic events, and are enablers of the smart factory paradigm. Computing industrial manufacturing simulati
ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset · unknown
Anomaly detection on longitudinal data with applications in cloud & healthcareOver a decade, analysing longitudinal data has presented a challenge in meeting the demands of extracting useful knowledge. For instance, as cloud/data centres grow in scale and complexity, effective monitoring and management of the cloud becomes a critical challenge. Competition for resource sharing and virtual machine overload are prone to cause anomalies, which will possibly cause downtime. Thi
ZivaHub + Deakin Research Online + DMU Figshare + UCL Research Data Repository2026 · dataset · unknown
User-centric cloud application managementThe accelerated growth in cloud computing technologies in the past decade has empowered a wide spectrum of cloud services, and this has originated a big challenge for cloud users, specifically for Infrastructure-as-a-Service (IaaS) users who find it difficult to choose a particular Virtual Machine (VM) type from the Cloud Providers (CP). Cloud application performance variability and IaaS pricing d
ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset · unknown
Virtualization of accelerators in cloud-edge computingEdge computing has the advantage of harnessing compute capabilities on remote resources located at the edge of the network to run workloads of relatively weak user devices. On the other hand, cloud computing offers compute capabilities on remote resources located, generally, geographically far from user devices on substantially more powerful devices, compared to the edge. Combining two unique para
DMU Figshare + UCL Research Data Repository2026 · dataset · unknown
Effective incorporation of FPGA based processing in server architecturesWith ever increasing data volumes and computing complexities, power-efficient alternatives, particularly Field Programmable Gate Arrays (FPGAs), need to be explored for industrial-scale data centres. Whilst FPGA device sizes have increased and associated design tools have matured, there are still challenges for their seamless integration model. This acts to hamper the abstraction of FPGA as a scal
ZivaHub2026 · dataset
Plasma-Engineered Poly(ether ether ketone) Fibers and Flame Retardants for High-Performance Epoxy CompositesRecently, cloud computing and high-density data centers have intensified thermal management and fire safety challenges, creating a need for multifunctional EP composites with reliable thermal, electrical, mechanical, and flame-retardant performance. Inspired by the hierarchical fiber structure and strong interfacial interactions of natural bamboo, this work first synthesized poly(ether ether keton
REDU - Unicamp Institutional Research Data Repository2026 · dataset · unknown
Source code, experimental data, and replication artifacts for the proposal and evaluation of an architecture for a smart parking digital twinThe repository contains the main materials associated with the development and experimental evaluation of the proposed Smart Parking Digital Twin architecture: Architecture source code: source code and deployment configurations used to implement and deploy the proposed architecture across the Mist, Edge, Fog, and Cloud strategies; Experimental data: raw and processed datasets generated during the
figshare2026 · Astronomical catalogue
Data for Trust assessment in 32 KiB of RAM : multi-application trust-based task offloading for resource-constrained IoT nodesThere is an increasing demand for Internet of Things (IoT) systems comprised of resource-constrained sensor and actuator nodes executing increasingly complex applications, possibly simultaneously. IoT devices will not be able to execute computationally expensive tasks and will require more powerful computing nodes, called edge nodes, for such execution, in a process called computation offloading.
figshare2026 · Astronomical catalogue
Dataset for LEI paper OLD<p dir="ltr">This dataset contains all the CSV files required to generate the numerical result and figure for the LLM-assisted Edge Intelligence Paper in revision 1. </p>
Borealis2026 · dataset · unknown
Spatiotemporal Mangrove Dynamics in Cacheu, Guinea-Bissau (2020-2025): Remote Sensing-Based Change Detection and Driver AnalysisMangrove forests are vital coastal ecosystems both ecologically and climatically, yet they are declining globally. Guinea-Bissau is home to some of West Africa’s greatest mangrove extents, yet contemporary assessments of how, and why, these forests are changing remain limited. This study mapped mangrove dynamics throughout the Cacheu province in Northern Guinea-Bissau between 2020 and 2025. This s
Borealis2025 · dataset · unknown
Monitoring Mangrove Recovery in the Bay of Assassins, MadagascarMangroves are unique plant species that support livelihoods and provide critical ecosystem services. Globally, mangroves have faced significant threats from deforestation, causing rapid decline; however, recent restoration efforts have made a positive impact. Effective restoration requires regular monitoring and evaluation to ensure its long-term success. This study aims to support mangrove restor
REDU - Unicamp Institutional Research Data Repository2025 · dataset · unknown
HPC applications paramount iterationsParamount Iteration data collected from several HPC applications running on multiple cloud providers.
REDU - Unicamp Institutional Research Data Repository2025 · dataset · unknown
eZtunnel: an eBPF-based traffic acceleration mechanism for cloud-native infrastructuresDataset related to the dissertation "eZtunnel: An eBPF-based Traffic Acceleration Mechanism for Cloud-Native Infrastructures". The dataset contains scripts, code and guidance needed to replicate the experiments presented in our publications.
CKAN @ IoT Lab2023 · Table · CSV
Data set: Industrial IoT-driven remote path planningThis compressed file contains data from three different experiments during the IIoT-REPLAN experimentation phase (Industrial IoT-drive remote path planning). IIoT-REPLAN was funded by an open call from the H2020 Fed4FIRE+ project.
CKAN @ IoT Lab2023 · Archive
MECPerf experimentation on Fed4FIRE+/NITOSThis dataset contains the outcome of the MECPerf experiment, funded within the 6th Fed4FIRE+ open call for experimenters. MECPerf is an open source tool to measure key performance indices (KPIs) of a MEC/cloud infrastructure, at both network and application level. MECPerf is available at https://github.com/MECPerf/MECPerf. The dataset contains bandwidth and latency measurements collected in three
e-cienciaDatos2023 · dataset · unknown
Yahoo-Yahoo Hash-Tag Tweets Using Sentiment Analysis and Opinion Mining AlgorithmsBackground Social media opinion has become a medium to quickly access large, valuable, and rich details of information on any subject matter within a short period. Twitter being a social microblog site, generate over 330 million tweets monthly across different countries. Analysing trending topics on Twitter presents opportunities to extract meaningful insight into different opinions on various iss
DATADOI2021 · dataset · unknown
HPC Cloud traces for better cloud service reliabilityThis data is in support of the research on "A combined system metrics approach to cloud service reliability using artificial intelligence" (doi: 10.20944/preprints202111.0548.v1)
Teesside University Research Data Repository2021 · dataset
Data for: Cloud Applications Monitoring: An Industrial Studythe dataset contains survey responses over cloud monitoring practices in industrial scenarios
Teesside University Research Data Repository2021 · dataset
Dataset on the Intention to adopt Infrastructure as-a Service-Based E-learning in Higher Education Institutions in NigeriaThis dataset presents the intention to adopt Infrastructure as-a Service-Based E-learning from the perspective of the ICT directorates top managers in Nigeria in the Nigerian Universities. The data were collected from the North-Central, North-West, and North-East regions of Nigeria. The questionnaires were distributed via a face-to-face method, where Relative Advantage (6 items), Compatibility (6
Teesside University Research Data Repository2018 · dataset
GoCJ: Google Cloud Jobs DatasetThe GoCJ dataset is comprised of different files. Each file contains the sizes of a specified number of jobs in terms of Million Instructions (MI) derived from the workload behaviors witnessed in google cluster traces (surveys published). The name of the file determines the number of jobs within the file i.e.; GoCJ_Dataset_100 has the sizes of 100 jobs. The GoCJ dataset is accepted for publication
Zenodo2013 · dataset
Data for: Scalable and Live Trace Processing with Kieker Utilizing Cloud ComputingKnowledge of the internal behavior of applications often gets lost over the years. This circumstance can arise, for example, from missing documentation. Application-level monitoring, e.g., provided by Kieker, can help with the comprehension of such internal behavior. However, it can have large impact on the performance of the monitored system. High-throughput processing of traces is required by pr