Principles of organizing parallel algorithms in cloud computing environments

Исроилов, Ш.Й., Каршиев, З.А., Саттаров, М.А., Абдуваитов, А.А., Бурибоев, А.Ш.

Рақамли технологияларнинг назарий ва амалий масалалари · 2026-yil

Annotatsiya

The growing volume of big data in modern information technologies necessitates the development of efficient parallel algorithms in cloud computing environments. Existing systems such as Hadoop and Spark face challenges related to static task distribution and high memory consumption, respectively. This study proposes a hybrid parallel computing approach that integrates DAG (Directed Acyclic Graph)-based task graphs, MapReduce, and Fork-Join paradigms. The proposed CloudParallelCore v1.0 software platform features a five-layer architecture enabling cloud provider-independent operation. The hybrid scheduler algorithm dynamically distributes tasks through the priority function f(p, w) = α·priority + β·wait_time. Experimental results demonstrate that 69 out of 70 tests (98.6%) passed successfully, with test coverage exceeding 90%. In MapReduce mode, a speedup of 1.09× was achieved for a dataset of 10,000 elements using 4 worker processes. In Fork-Join mode, sorting 50,000 elements completed in 1.20 seconds. The single identified issue – a reduce phase timing measurement boundary for small datasets – had no impact on functionality. The results confirm the effectiveness of the hybrid approach for medium and large-scale data processing.

Maqola ma’lumotlari
MualliflarИсроилов, Ш.Й., Каршиев, З.А., Саттаров, М.А., Абдуваитов, А.А., Бурибоев, А.Ш.
JurnalРақамли технологияларнинг назарий ва амалий масалалари
NashriyotТАТУ Самарқанд филиали
ISSN2181-3086, 2181-3094
Nashr sanasi2026-08-02
Jild9
Son3
Betlar99-111
TilIngliz
Ilmiy sohaTexnika
DOI10.62132/ijdt.v9i3.405
Indeksga qo‘shilgan2026-08-26

DOI: 10.62132/ijdt.v9i3.405 · Maqolaning asl sahifasi

Kalit so‘zlar

облачные вычисления, параллельные алгоритмы, MapReduce, Fork-Join, DAG, гибридный планировщик, CloudParallelCore, планирование задач, cloud computing, parallel algorithms, MapReduce, Fork-Join, DAG, hybrid scheduler, CloudParallelCore, task scheduling

Ilmiy soha

Texnika

Iqtibos keltirish

APAИсроилов, Ш.Й., Каршиев, З.А., Саттаров, М.А., Абдуваитов, А.А., & Бурибоев, А.Ш. (2026). Principles of organizing parallel algorithms in cloud computing environments. Рақамли технологияларнинг назарий ва амалий масалалари, 9(3), 99-111. https://doi.org/10.62132/ijdt.v9i3.405
GOST (OAK)Исроилов, Ш.Й. va b. Principles of organizing parallel algorithms in cloud computing environments // Рақамли технологияларнинг назарий ва амалий масалалари. – 2026. – T. 9, № 3. – P. 99-111. – DOI: 10.62132/ijdt.v9i3.405.
MLAИсроилов, Ш.Й., Каршиев, З.А., Саттаров, М.А., Абдуваитов, А.А., and Бурибоев, А.Ш. “Principles of organizing parallel algorithms in cloud computing environments.” Рақамли технологияларнинг назарий ва амалий масалалари, 9(3), 99-111, 2026. https://doi.org/10.62132/ijdt.v9i3.405
ChicagoИсроилов, Ш.Й., Каршиев, З.А., Саттаров, М.А., Абдуваитов, А.А., and Бурибоев, А.Ш. “Principles of organizing parallel algorithms in cloud computing environments.” Рақамли технологияларнинг назарий ва амалий масалалари, 9(3), 99-111 (2026). https://doi.org/10.62132/ijdt.v9i3.405
HarvardИсроилов, Ш.Й., Каршиев, З.А., Саттаров, М.А., Абдуваитов, А.А., and Бурибоев, А.Ш (2026) ‘Principles of organizing parallel algorithms in cloud computing environments’, Рақамли технологияларнинг назарий ва амалий масалалари, 9(3), 99-111. https://doi.org/10.62132/ijdt.v9i3.405
BibTeX
@article{article2026,
  title = {Principles of organizing parallel algorithms in cloud computing environments},
  author = {Исроилов, Ш.Й. and Каршиев, З.А. and Саттаров, М.А. and Абдуваитов, А.А. and Бурибоев, А.Ш.},
  journal = {Рақамли технологияларнинг назарий ва амалий масалалари},
  year = {2026},
  volume = {9},
  number = {3},
  pages = {99-111},
  doi = {10.62132/ijdt.v9i3.405},
  url = {https://doi.org/10.62132/ijdt.v9i3.405}
}

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