Cloud Computing

Operationally Transparent Cyber (OpTC)

Disclaimer

DARPA is releasing these files in the public domain to stimulate further research. Their release implies no obligation or desire to support additional work in this space. The data is released as-is. DARPA makes no warranties as to the correctness, accuracy, or usefulness of the released data. In fact, since the data was produced by research prototypes, it is practically guaranteed to be imperfect.

Categories:: Artificial Intelligence
Digital signal processing
Machine Learning
Security
Cloud Computing
Communications
Computational Intelligence

3734 Views

Edge View SNDlib Database formatted for VNE_CRS

5G technologies have enabled new applications on a heterogeneous and distributed infrastructure edge which unifies hardware, network and software aimed at digital enabling. Based on the requirements of Industry 4.0, this infrastructure is developed using the cloud and fog computing sharing model, which should meet the needs of service level agreements in a convenient and optimized way, requiring an orchestration mechanism for the dynamic resource allocation.

Categories:: Artificial Intelligence
Cloud Computing
Machine Learning

603 Views

Experiments data used for evaluating PerfSim simulation accuracy based on sfc-stress workloads

This dataset is being used to evaluate PerfSim accuracy and speed against a real deployment in a Kubernetes cluster based on sfc-stress workloads.

Categories:: Cloud Computing
Communications

367 Views

Lumos5G Dataset

The emerging 5G services offer numerous new opportunities for networked applications. In this study, we seek to answer two key questions: i) is the throughput of mmWave 5G predictable, and ii) can we build "good" machine learning models for 5G throughput prediction? To this end, we conduct a measurement study of commercial mmWave 5G services in a major U.S. city, focusing on the throughput as perceived by applications running on user equipment (UE).

Categories:: Machine Learning
Cloud Computing
Communications

2214 Views

A network analysis on cloud gaming: Stadia, GeForce Now and PSNow

This dataset is a sample of the dataset used for the paper "A network analysis on cloud gaming:Stadia, GeForce Now and PSNow" and rappresent samples of the gaming sessions.

To access further data, please contact Gianluca Perna at: gianluca.perna@polito.it

Categories:: Cloud Computing

725 Views

Memory Dumps of Virtual Machines for Cloud Forensics

The dataset contains memory dump data which is generated continuously. For the experiment we carried out, we implemented the volatile data dump module which generated around 360 VM memory dump images of average size 800Mb each (Total 288GB). These data files are compressed using gzip utility. Further zipped to 79.5GB one single file of memory evidence.
Out of these preserved and stored memory dump dataset, 79 files of size 17.3GB were generated during the attack. This means the data 21.76% of data (in size) is potential evidence.

Categories:: Security
Cloud Computing

1486 Views

OpenNebula Virtual Machine Profiling for Intrusion Detection System

Intrusion Detection System can be build for private cloud using OpenNebula. OpenNebula is a cloud computing platform for managing heterogenous distributed data center infrastructure. The database is generated using a private cloud setup using KVM and OpenNebula. OpenNebula provides API to monitor Virtual Machines (VMs) running on the infrastructure. Total 6 VMs were deployed on the infrastructure. The monitoring data was collected over 63 Hours. Attacks were simulated on few of the VMs for variable time duration.