Energy Justice in Holendrecht: Taking energy justice as guide to shape the transition towards sustainable heating by means of co-creation and visualization

As part of the Dutch energy transition the municipality of Amsterdam has drafted their Transition Vision Heat, indicating which sustainable heating sources can be used in Amsterdam as an alternative for natural gas. One of the alternative heating sources identified is residual data center heat. With the project ‘Digital heat in the MRA’ the...

Radice: Data-driven Risk Analysis of Sustainable Cloud Infrastructure using Simulation

Cloud datacenters underpin our increasingly digital society, serving stakeholders across industry, government, and academia. These stakeholders have come to expect reliable operation and high quality of service, yet demand low cost, high scalability, and corporate (environmental) responsibility. Datacenter operators are confronted frequently...

Capelin: Data-Driven Compute Capacity Procurement for Cloud Datacenters using Portfolios of Scenarios

Cloud datacenters provide a backbone to our digital society. Inaccurate capacity procurement for cloud datacenters can lead to significant performance degradation, denser targets for failure, and unsustainable energy consumption. Although this activity is core to improving cloud infrastructure, relatively few comprehensive approaches and...

Capelin: Fast Data-Driven Capacity Planning for Cloud Datacenters

Cloud datacenters provide a backbone to our digital society. Crucial to meeting increasing demand while maintaining efficient operation is the activity of capacity planning. Inaccurate capacity planning for cloud datacenters can lead to significant performance degradation, denser targets for failure, and unsustainable energy consumption....

DataFlex: Educational game about data centers for children

Women are largely underrepresented in IT, girls’ interest in STEM and IT fields tends to drop throughout secondary education. Educational games are a great tool to change the perception of certain topics, as well as changing the behavior of the players. Thus, this report describes the development of a game to make the field of IT more appealing...

Scheduling Workloads of Workflows in Clusters and Clouds

This dissertation addresses three key challenges that are characteristic to the online scheduling of workloads of workflows in modern distributed computing systems. The first challenge is the realistic estimation of the resource demand of a workflow, as it is important for making good task placement and resource allocation decisions. Usually,...

Workload-Adaptive Configuration Tuning for Hierarchical Cloud Schedulers

Cluster schedulers provide flexible resource sharing mechanism for best-effort cloud jobs, which occupy a majority in modern datacenters. Properly tuning a scheduler's configurations is the key to these jobs' performance because it decides how to allocate resources among them. Today's cloud scheduling systems usually rely on cluster operators...

Datacenters as residual heat source for district heating in residential neighbourhoods of Amsterdam

The transformation of the residential heating system of Amsterdam into a sustainable heating system that no longer makes use of natural gas in 2050, of which 230.000 households will be heated with district heating, demands an exploration of sustainable local heat sources to use for district heating in Amsterdam. This aligns with the fundamentals...

Hotspring for Parkstad: Synergy between a datacenter and hotspring in the Sibelco quarry

With the shift towards a digital economy, the demand for ICT-capacity is growing fast. The fundamental node of this infrastructure is the datacenter. With the idea of the ´smart city´ as a future perspective, the question rises how the physical manifestation of the data center should be in the built environment. But, as important, how it could...

Scheduling the Spark Framework under the Mesos Resource Manager

Using clusters of servers and datacenters to process large numbers of data- and computation-intensive jobs is becoming mainstream. The need for large clusters is driven by the fact that many workloads are growing at a faster rate than the advances in single computer performance. To manage processing in a cluster of multiple computers, several...

Portfolio Scheduling for Risk Management in Business-Critical Workloads Hosted by Cloud Datacenters

Large enterprises and governments shift their long-running and critical operations to run in cloud environments. The on-demand business-critical workloads raise important challenges in datacenter operation, requiring efficient online scheduling of workloads with unprecendented dynamic behavior, yet under strict service level agreements (SLAs)....

Design and Evaluation of a Portfolio Scheduler for Business-Critical Workloads Hosted in Cloud Datacenters

Virtualized multi-cluster, multi-datacenter datacenters are central to the digital economy, but require new techniques to address increasing scales, changing architectures, and dynamic workloads. Especially the introduction of new Business-Critical workloads that we characterize, create new resource management challenges. We propose a resource...

Application of phase change materials for datacenter cooling

This graduation project investigates how PCM can be applied in data center cooling to improve the energy efficiency of the thermal design.