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Economical and efficient big data sharing with i-Cloud — arXiv:2609.23438

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.23438
License (as archived): CC0-1.0
Archived: 2026-10-09T06:53:03.043Z
SHA-256 of the archived text: 2ba09689ab695372c157864775c1358ad871704dff8125dde4444715512740d0
Stable URL of this page: https://metraipolis.com/documento/dc_df33cdd4bbf5

How to cite

Economical and efficient big data sharing with i-Cloud — arXiv:2609.23438 — arXiv (en), https://arxiv.org/abs/2609.23438 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_df33cdd4bbf5 (Metraipolis archive dc_df33cdd4bbf5, sha256 2ba09689ab695372c157864775c1358ad871704dff8125dde4444715512740d0)

BibTeX

@misc{dcdf33cdd4bbf5,
  title = {Economical and efficient big data sharing with i-Cloud — arXiv:2609.23438},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.23438},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_df33cdd4bbf5; sha256 2ba09689ab695372c157864775c1358ad871704dff8125dde4444715512740d0},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.23438. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Big data can be hosted on cloud and being shared distributedly through cloud services in an unprecedented volume, variety and velocity. This causes not only cloud network congestions and delayed cloud services but also increases in public cloud data-out charges. Client-side cloud cache alleviates these problems. Furthermore, cloud cache must be aware of nonuniform data-out costs when big data is stored in hybrid clouds built with different public cloud providers. Deploying i-Cloud approach as the core mechanism of cloud cache could save data-out cost up to 14.78% or 4,425 USD saved per annum based on our representative scenario, and delivered 17.24% byte-hit, 17.96% delay-saving and 29.33% cache hit outperforming LRU, GDSF and LFU-DA approaches. A main finding is that i-Cloud, learning uniform cost patterns, could perform well against nonuniform cost environment.

Tema degli esploratori: calcolo e infrastrutture (retro-catalogo arXiv: annunci del 2026-09-22 in cs.DC).
Categorie arXiv: Distributed, Parallel, and Cluster Computing (cs.DC).
Pagina del lavoro: https://arxiv.org/abs/2609.23438 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-09T06:50:13.531Z dalla pagina https://arxiv.org/catchup/cs.DC/2026-09-22?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).