size_categories:10K<n<100K format:csv modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
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pretty_name: Cloud Response Time Measurements (ROM Dataset)
---
# Dataset Card for Cloud Response Time Measurements (ROM) Dataset

## Dataset Details
Exploring Uncertainty of Delays as a Factor in End-to-End Cloud Response Time

### Dataset Description
This dataset contains response time measurements for cloud-based services, with an emphasis on examining end-to-end delays in response times. The data includes various metrics such as response time (RT), round-trip time (RTT), request processing time (RPT), and metadata related to client location, client type, data center, timestamp, and country. This dataset was collected as part of research into the impact of delay uncertainty on cloud service response times.

- **Curated by:** This dataset was curated by researchers to study how uncertainties in network delays impact end-to-end cloud service response times.
- **Language(s) (NLP):** The dataset does not contain linguistic content, as it focuses on numeric and categorical fields.
- **License:** This dataset is provided for research and academic purposes, and users should cite the associated research paper when utilizing the dataset. 

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

- **Repository:** https://gist.githubusercontent.com/fandras/44a74003801090b60b3720adb6a3ff24/raw/5a0848db1036e2f37b0dc8b8f2afa2766785fc53/rom.csv
- **Paper :** Gorbenko, Anatoliy & Kharchenko, Vyacheslav & Mamutov, Seyran & Tarasyuk, Olga & Romanovsky, Alexander. (2012). Exploring Uncertainty of Delays as a Factor in End-to-End Cloud Response Time. Proceedings - 9th European Dependable Computing Conference, EDCC 2012. 10.1109/EDCC.2012.10. 

## Uses

Response time analysis, delay analysis, cloud performance evaluation, network latency prediction.

## Dataset Structure
### Data Instances
A typical data instance includes information about response time and network conditions for a specific client session, as shown below:


| ip           |  RT          | RPT          |  RTT         |  location    |client.type   |  DC          | start.time   | pm.pa        |  Country     | Time      |
|--------------|--------------|--------------|--------------|--------------|--------------|--------------|--------------|--------------|--------------|--------------|
| 10.8.146.179 (laptop)  | 2656  | 1031  | 1625   |"Newcastle"  | "Microsoft client"  | "Redmond DC"  | 1359748486.796  | "PM" |"UK" |0

### Data Fields

- ip: IP address of the client device (e.g., "10.8.146.179 (laptop)")
- RT: Response time in milliseconds.
- RPT: Request processing time in milliseconds.
- RTT: Round trip time in milliseconds.
- location: Location of the client (e.g., "Newcastle").
- client.type: Type of client device (e.g., "Microsoft client").
- DC: Data center accessed (e.g., "Redmond DC").
- start.time: timestamp marking the session start time.
- pm.pa: AM/PM marker for session time.
- Country: Server location (e.g., "UK").
- Time: Not explicitly described.

### Data Splits
The dataset does not contain predefined splits and is provided as a single collection of observations. Users can divide it according to custom needs, such as temporal splits, by location, or based on response time ranges.

## Dataset Creation

### Curation Rationale

This dataset was curated by researchers, specifically for measuring the uncertainty of two main delays contributing to the end-to-end response time of the benchmark service deployed in clouds: (i) network delay and (ii) cloud processing time.

### Source Data

#### Data Collection and Processing

Data was collected through controlled experiments. 

#### Who are the source data producers?

Measurements were obtained using client devices interacting with the Redmond data center.


### Annotations [optional]

The dataset does not contain any additional annotations.
#### Annotation process
[N/A]

#### Who are the annotators?
[N/A]



## Bias, Risks, and Limitations

### Limitations

This dataset is limited to a specific geographical area and client type, potentially reducing the generalizability of results to other locations or client setups.

## Considerations for Using the Data
### Social Impact of Dataset
This dataset enables research into network latency, which can have a positive impact on optimizing cloud services, especially for latency-sensitive applications. Reducing uncertainty in cloud response times may improve user experiences and the reliability of cloud-dependent applications.

## Citation [optional]

Gorbenko, Anatoliy & Kharchenko, Vyacheslav & Mamutov, Seyran & Tarasyuk, Olga & Romanovsky, Alexander. (2012). Exploring Uncertainty of Delays as a Factor in End-to-End Cloud Response Time. Proceedings - 9th European Dependable Computing Conference, EDCC 2012. 10.1109/EDCC.2012.10. 

**BibTeX:**

@article{article,
author = {Gorbenko, Anatoliy and Kharchenko, Vyacheslav and Mamutov, Seyran and Tarasyuk, Olga and Romanovsky, Alexander},
year = {2012},
month = {05},
pages = {},
title = {Exploring Uncertainty of Delays as a Factor in End-to-End Cloud Response Time},
journal = {Proceedings - 9th European Dependable Computing Conference, EDCC 2012},
doi = {10.1109/EDCC.2012.10}
}

## Data Card Curators
This data card has been created specifically as an example for students to learn how to document datasets effectively.
