Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ayat Fekry"'
Publikováno v:
IEEE BigData
One of the key challenges for data analytics deployment is configuration tuning. The existing approaches for configuration tuning are expensive and overlook the dynamic characteristics of the analytics environment (i.e. frequent changes in workload d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6b2e87fb83f520fb71ffd69207d098e
https://doi.org/10.1109/bigdata50022.2020.9378085
https://doi.org/10.1109/bigdata50022.2020.9378085
Publikováno v:
KDD
Fekry, A, Carata, L, Pasquier, T, Rice, A & Hopper, A 2020, To Tune or Not to Tune? In Search of Optimal Configurations for Data Analytics . in Knowledge Discovery and Data Mining (KDD) . Association for Computing Machinery (ACM), pp. 2494–2504 . https://doi.org/10.1145/3394486.3403299
Fekry, A, Carata, L, Pasquier, T, Rice, A & Hopper, A 2020, To Tune or Not to Tune? In Search of Optimal Configurations for Data Analytics . in Knowledge Discovery and Data Mining (KDD) . Association for Computing Machinery (ACM), pp. 2494–2504 . https://doi.org/10.1145/3394486.3403299
This experimental study presents a number of issues that pose a challenge for practical configuration tuning and its deployment in data analytics frameworks. These issues include: 1) the assumption of a static workload or environment, ignoring the dy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33524fc9570d056d270c6147b235970f
https://doi.org/10.1145/3394486.3403299
https://doi.org/10.1145/3394486.3403299
Publikováno v:
Fekry, A, Carata, L, Pasquier, T, Rice, A & Hopper, A 2019, Towards Seamless Configuration Tuning of Big Data Analytics . in 2019 IEEE International Conference on Distributed Computing Systems (ICDCS 2019) . Institute of Electrical and Electronics Engineers (IEEE) . https://doi.org/10.1109/ICDCS.2019.00189
ICDCS
ICDCS
The execution of distributed data processing workloads (such as those running on top of Hadoop or Spark) in cloud environments presents a unique opportunity to explore multiple trade-offs between elasticity (and types of resources being allocated), o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8afe0659b2125615f01f7e6c951de2df
https://research-information.bris.ac.uk/en/publications/c9a9e277-74f4-44f5-b5ae-aefa12ce94f6
https://research-information.bris.ac.uk/en/publications/c9a9e277-74f4-44f5-b5ae-aefa12ce94f6
