Tagged with: benchmarking


PROPOSAL

NVMe SSDs are not a uniform class of devices. IO software stack is not uniform either. Understanding the performance characteristics of new-generation SSDs and the impact of the IO stack on their performance is crucial while determining how to design data-intensive systems. In this project, we would like to characterize the performance of a range of NVMe SSDs (e.g., Samsung Z-SSD, Intel Optane, …
Supervisors: Pınar Tözün
Semester: Fall 2021
Tags: SSD, benchmarking

PROPOSAL

Disaggregated storage has gained acceptance in data centers. With disaggregated storage, storage resources are decoupled from compute resources, and made available through fabric. We are particularly interested in storage resources composed of an ARM-based smartNIC, which acts as fabric target as well as storage controller for a collection of SSDs. The performance characteristics of the storage …
Supervisors: Pınar Tözün
Semester: Fall 2021
Tags: benchmarking, ARM, SoC, fabric, SSD, computational storage

PROPOSAL

A data science infrastructure orchestrates the execution of widely used machine learning frameworks (e.g., TensorFlow , PyTorch) on a heterogeneous set of processing units (e.g., CPU, GPU, TPU, FPGA) while powering an increasingly diverse and complex range of applications (e.g., fraud detection, healthcare, virtual assistance, automatic driving). Understanding the resource consumption …
Supervisor: Pınar Tözün
Semester: Fall 2021
Tags: benchmarking, hardware resource consumption, deep learning frameworks

PROPOSAL

Consensus mechanisms for ensuring consistency are some of the most expensive operations in managing large amounts of data. Often, there is a trade off that involves reducing the coordination overhead at the price of accepting possible data loss or inconsistencies. As the demand for more efficient data centers increases, it is important to provide better ways of ensuring consistency without …
Supervisors: Zsolt István
Semester: Spring 2021
Tags: Benchmarking, Distributed Systems

PROPOSAL

Hash-based authentication is an effective way of protecting passwords in software systems. Hashing obscures the original passwords, such that it cannot be recovered in case of a database breach. However, as demonstrated by our paper titled Hash-Based Authentication Revisited in the Age of High-Performance Computers, the practical security depends on which hashing algorithm is used as well as the …
Supervisors: Pınar Tözün, Niclas Hedam
Tags: benchmarking, hashing, security, GPU, hacking, HPC

PROPOSAL

Blockchains are often used synonymously with crypto-currencies and unspent transaction output (UTXO) data models, but there are emerging blockchain platforms that offer a more general data model and smart contracts that can manipulate this data freely (e.g. Hyperledger Fabric [1]). As such, these platforms resemble in many ways distributed databases, storing a collection of records, organized as …
Supervisors: Zsolt István
Semester: Spring 2021
Tags: Blockchain, Data Management, Benchmarking

PROPOSAL

SSDs are not a uniform class of devices. SSD landscape is quite diverse now with many new-gen much faster / customizable devices being available. Understand their performance characteristics is crucial while determining what their impact on data systems software stack should be. In this project, we would like to characterize the performance of a broad range of such SSDs (e.g., ZNS, Samsung Z-SSD, …
Supervisors: Pınar Tözün, Philippe Bonnet
Semester: Fall 2020
Tags: SSD, benchmarking

PROJECT

How does commonly used time series systems handle an HTAP/IoT use-case?
Students: Marcus Winding Quistgaard
Supervisor: Pınar Tözün
Level: MSc, Semester: Spring 2020
Tags: HTAP, IoT, benchmarking

PROJECT

Investigating what an HTAP benchmark needs
Students: Jeppe Koch Schwensen
Supervisors: Pınar Tözün
Level: MSc, Semesters: Spring 2019
Tags: HTAP, benchmarking