---
_id: '54587'
abstract:
- lang: eng
  text: <jats:p>With significant growth in RDF datasets, application developers demand
    online availability of these datasets to meet the end users’ expectations. Various
    interfaces are available for querying RDF data using SPARQL query language. Studies
    show that SPARQL end-points may provide high query runtime performance at the
    cost of low availability. For example, it has been observed that only 32.2% of
    public endpoints have a monthly uptime of 99–100%. One possible reason for this
    low availability is the high workload experienced by these SPARQL endpoints. As
    complete query execution is performed at server side (i.e., SPARQL endpoint),
    this high query processing workload may result in performance degradation or even
    a service shutdown. We performed extensive experiments to show the query processing
    capabilities of well-known triple stores by using their SPARQL endpoints. In particular,
    we stressed these triple stores with multiple parallel requests from different
    querying agents. Our experiments revealed the maximum query processing capabilities
    of these triple stores after which point they lead to service shutdowns. We hope
    this analysis will help triple store developers to design workload-aware RDF engines
    to improve the availability of their public endpoints with high throughput.</jats:p>
author:
- first_name: Hashim
  full_name: Khan, Hashim
  id: '76510'
  last_name: Khan
  orcid: 0009-0006-5953-480X
- first_name: Ali
  full_name: Manzoor, Ali
  id: '77309'
  last_name: Manzoor
  orcid: https://orcid.org/0000-0001-8403-5160
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
- first_name: Muhammad
  full_name: Saleem, Muhammad
  last_name: Saleem
citation:
  ama: 'Khan H, Manzoor A, Ngonga Ngomo A-C, Saleem M. When is the Peak Performance
    Reached? An Analysis of RDF Triple Stores. In: <i>Studies on the Semantic Web</i>.
    IOS Press; 2021. doi:<a href="https://doi.org/10.3233/ssw210042">10.3233/ssw210042</a>'
  apa: Khan, H., Manzoor, A., Ngonga Ngomo, A.-C., &#38; Saleem, M. (2021). When is
    the Peak Performance Reached? An Analysis of RDF Triple Stores. In <i>Studies
    on the Semantic Web</i>. IOS Press. <a href="https://doi.org/10.3233/ssw210042">https://doi.org/10.3233/ssw210042</a>
  bibtex: '@inbook{Khan_Manzoor_Ngonga Ngomo_Saleem_2021, title={When is the Peak
    Performance Reached? An Analysis of RDF Triple Stores}, DOI={<a href="https://doi.org/10.3233/ssw210042">10.3233/ssw210042</a>},
    booktitle={Studies on the Semantic Web}, publisher={IOS Press}, author={Khan,
    Hashim and Manzoor, Ali and Ngonga Ngomo, Axel-Cyrille and Saleem, Muhammad},
    year={2021} }'
  chicago: Khan, Hashim, Ali Manzoor, Axel-Cyrille Ngonga Ngomo, and Muhammad Saleem.
    “When Is the Peak Performance Reached? An Analysis of RDF Triple Stores.” In <i>Studies
    on the Semantic Web</i>. IOS Press, 2021. <a href="https://doi.org/10.3233/ssw210042">https://doi.org/10.3233/ssw210042</a>.
  ieee: H. Khan, A. Manzoor, A.-C. Ngonga Ngomo, and M. Saleem, “When is the Peak
    Performance Reached? An Analysis of RDF Triple Stores,” in <i>Studies on the Semantic
    Web</i>, IOS Press, 2021.
  mla: Khan, Hashim, et al. “When Is the Peak Performance Reached? An Analysis of
    RDF Triple Stores.” <i>Studies on the Semantic Web</i>, IOS Press, 2021, doi:<a
    href="https://doi.org/10.3233/ssw210042">10.3233/ssw210042</a>.
  short: 'H. Khan, A. Manzoor, A.-C. Ngonga Ngomo, M. Saleem, in: Studies on the Semantic
    Web, IOS Press, 2021.'
date_created: 2024-06-04T12:25:53Z
date_updated: 2025-09-11T11:39:47Z
department:
- _id: '574'
doi: 10.3233/ssw210042
language:
- iso: eng
publication: Studies on the Semantic Web
publication_identifier:
  issn:
  - 1868-1158
  - 2215-0870
publication_status: published
publisher: IOS Press
status: public
title: When is the Peak Performance Reached? An Analysis of RDF Triple Stores
type: book_chapter
user_id: '77309'
year: '2021'
...
---
_id: '56485'
abstract:
- lang: eng
  text: Over years, the Web of Data has grown significantly. Various interfaces such
    as SPARQL endpoints, data dumps, and Triple Pattern Fragments (TPF) have been
    proposed to provide access to this data. Studies show that many of the SPARQL
    endpoints have availability issues. The data dumps do not provide live querying
    capabilities. The TPF solution aims to provide a trade-off between the availability
    and performance by dividing the workload among TPF servers and clients. In this
    solution, the TPF server only performs the triple patterns execution of the given
    SPARQL query. While the TPF client performs the joins between the triple patterns
    to compute the final resultset of the SPARQL query. High availability is achieved
    in TPF but increase in network bandwidth and query execution time lower the performance.
    We want to propose a more intelligent SPARQL querying server to keep the high
    availability along with high query execution performance, while minimizing the
    network bandwidth. The proposed server will offer query execution services (can
    be single triple patterns or even join execution) according to the current status
    of the workload. If a server is free, it should be able to execute the complete
    SPARQL query. Thus, the server will offer execution services while avoiding going
    beyond the maximum query processing limit, i.e. the point after which the performance
    start decreasing or even service shutdown. Furthermore, we want to develop a more
    intelligent client, which keeps track of a server’s processing capabilities and
    therefore avoid DOS attacks and crashes.
author:
- first_name: Hashim
  full_name: Khan, Hashim
  id: '76510'
  last_name: Khan
  orcid: 0009-0006-5953-480X
citation:
  ama: 'Khan H. Towards More Intelligent SPARQL Querying Interfaces. In: <i>International
    Semantic Web Conference</i>. ; 2019.'
  apa: Khan, H. (2019). Towards More Intelligent SPARQL Querying Interfaces. <i>International
    Semantic Web Conference</i>.
  bibtex: '@inproceedings{Khan_2019, title={Towards More Intelligent SPARQL Querying
    Interfaces}, booktitle={International Semantic Web Conference}, author={Khan,
    Hashim}, year={2019} }'
  chicago: Khan, Hashim. “Towards More Intelligent SPARQL Querying Interfaces.” In
    <i>International Semantic Web Conference</i>, 2019.
  ieee: H. Khan, “Towards More Intelligent SPARQL Querying Interfaces,” 2019.
  mla: Khan, Hashim. “Towards More Intelligent SPARQL Querying Interfaces.” <i>International
    Semantic Web Conference</i>, 2019.
  short: 'H. Khan, in: International Semantic Web Conference, 2019.'
date_created: 2024-10-10T11:53:15Z
date_updated: 2025-09-15T11:52:03Z
keyword:
- dice group_aksw hashim ngonga opal saleem simba
language:
- iso: eng
publication: International Semantic Web Conference
status: public
title: Towards More Intelligent SPARQL Querying Interfaces
type: conference
user_id: '76510'
year: '2019'
...