msF2FS: Design and Implementation of an NVMe ZNS SSD Optimized F2FS File System

The Design and Analysis of an Elastic Scheduling System for Distributed Graph Processing

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

Capelin: Fast Data-Driven Capacity Planning for Cloud Datacenters

A Systematic Design Space Exploration of Datacenter Schedulers

ANANKE: a Q-Learning-Based Portfolio Scheduler for Complex Industrial Workflows

Scaling Distributed Virtual Environments using Socially Aware Load Partitioning and Interest Management

Accumulus, Resource Measurement in a Virtualized Container Environment

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

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

Design of a Performance Benchmarker for Fully Distributed IaaS Clouds

Fine-grained Performance Evaluation of Large-scale Graph Processing Systems

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

Performance Evaluation of Distributed SQL Query Engines and Query Time Predictors

Nebu: A topology-aware deployment system for reliable virtualized multi-cluster environments

Analytics at the speed of light: Feasibility and challenges for real time analytics of large datasets in hybrid clouds.

Scalability and fault-tolerance in the groupware domain

KOALA-C: A Scheduler for Integrated Multi-Cluster and Multi-Cloud Environments

LudoGraph: A Sampling Capable Cloud-Based System for Large-Scale Graph Processing: Based on the Pregel programming model

Project Jackal Final Report