Validating Hue Bridge firmware with Device Virtualization and Kubernetes

In recent years, with the rapid expansion of IoT (Internet of Things) devices, more and more research and commercial projects have focused on various application areas of IoT. Signify, as a leading player in the smart home industry, has been deeply involved in this field for many years, particularly focusing on smart lighting for smart homes and...

Fast DRL-based scheduler configuration tuning for reducing tail latency in edge-cloud jobs

Edge-cloud applications are rapidly prevailing in recent years and pose the challenge of using both resource-strenuous edge devices and elastic cloud resources under dynamic workloads. Efficient resource allocation on edge-cloud jobs via cluster schedulers (e.g. Kubernetes/Volcano scheduler) is essential to guarantee their performance, e.g....

Containerization for High Performance Computing

Containerization, a lightweight form of virtualization, increasingly became more popular in the last decade. Containers can offer a level of isolation and privacy to the user, which are not always sought after. High performance computing workloads benefit from having a custom container filesystem, but would suffer from any overhead incurred by...

EdgeTuner: Fast Scheduling Algorithm Tuning for Dynamic Edge-Cloud Workloads and Resources

Edge-cloud jobs are rapidly prevailing in many application domains, posing the challenge of using both resource-strenuous edge devices and elastic cloud resources. Efficient resource allocation on such jobs via scheduling algorithms is essential to guarantee their performance, e.g. latency. Deep reinforcement learning (DRL) is increasingly...

Learning State Machines to Monitor and Detect Anomalies on a Kubernetes Cluster

These days more companies are shifting towards using cloud environments to provide their services to their client. While it is easy to set up a cloud environment, it is equally important to monitor the system's runtime behaviour and identify anomalous behaviours that occur during its operation. In recent years, the utilisation of Recurrent...

Large Scale In-Database Machine Learning Using Cloud Native Workflows

During the last decade, the proliferation of smartphones, social media and streaming services has provoked an explosion of multimedia data. This large amount of image and video sources combined with more powerful and inexpensive computational capabilities brought by the cloud computing paradigm has facilitated the rapid growth of new machine...

Mitigating Cold Start Problem in Microservice Auto-scaling on Kubernetes

With the advent of the cloud-native paradigm, the software development and deployment style has significantly reformed. An increasing number of enterprises are migrating their microservice applications onto Kubernetes, a production-grade container orchestration platform, to fully use the advantages of Kubernetes in self-healing, service...

Analyzing the Applicability of Kubernetes for the Deployment of an IoT Publish/Subscribe System

With the increased availability and affordability of miniature computing devices,<br/>such as sensors, the era of Internet of Things (IoT) has arrived. Meanwhile, the developments of the cellular mobile technologies and emerge of 5G accelerated the adoption of IoT scenarios within mobile networks. Rapid growth in the number of IoT devices has...

Kubernetes cluster optimization using hybrid shared-state scheduling framework

This paper presents a novel approach for scheduling the workloads in a Kubernetes cluster, which are sometimes unequally distributed across the environment or deal with fluctuations in terms of resources utilization. Our proposal looks at a hybrid shared-state scheduling framework model that delegates most of the tasks to the distributed...

Addressing the challenges of Cloud Computing adoption in an enterprise environment: Use case for encouragement and raising awareness among the staff, development of secure and compliant components and analysis of application performance on different Microsoft Azure Cloud Services within the Cloud Competence Center in Rabobank

Rabobank is currently planning a complete transition of its services to the public<br/>cloud. Currently there are around 400 DevOps teams that need to make the<br/>transition from deployment on traditional on-premise infrastructure, to deploying their products to the public cloud. The thesis project investigates what are some of the biggest...

Flower: Workflow management and heat-aware scheduling for modern cloud infrastructures

Cloud computing has given users access to virtually infinite computing power. Cloud service providers operate data centers consisting of hundreds, sometimes thousands of interconnected machines. The machines dissipate heat that is undesirable because it may lead components to overheat. Air conditioners are used to cool the air and regulate the...