ISSN2456-3315
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Paper Title
Optimizing Multi-Tenancy FPGA Cloud Systems for Efficient Resource Utilization
Authors
Busa Revathi , DHADI SAI PRANEETH REDDY , KASIREDDY MANIDEEP REDDY
Keywords
FPGA, Cloud Comp, Multi-Tenant Systems, High-Performance Computing, AI, Resource Allocation
Abstract
Multi-tenant FPGA cloud systems represent a new frontier in high-performance computing
(HPC), blending flexibility, processing power, and cost efficiency. FPGA-based systems, integrated into
cloud environments, hold immense potential for industries requiring real-time data processing, such as
artificial intelligence (AI), finance, and healthcare. These systems enable dynamic resource allocation,
offering better performance while addressing cost concerns. This paper presents a detailed exploration of
the system architecture, challenges, implementation, and the impact of such systems, along with an
evaluation of their suitability in line with India’s government initiatives. Potential future research
directions such as quantumFPGA integration are also discussed.
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How To Cite
Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.
IJRTI — journal style
"Optimizing Multi-Tenancy FPGA Cloud Systems for Efficient Resource Utilization", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 1, page no.a275-a280, January-2025, Available :https://ijrti.org/papers/IJRTI2501037.pdf
APA — 7th edition
Revathi, B., REDDY, D. S. P., & REDDY, K. M. (2025). Optimizing Multi-Tenancy FPGA Cloud Systems for Efficient Resource Utilization. International Journal for Research Trends and Innovation, 10(1), a275-a280. https://ijrti.org/viewpaperforall.php?paper=IJRTI2501037
MLA — 9th edition
Revathi, Busa, et al. "Optimizing Multi-Tenancy FPGA Cloud Systems for Efficient Resource Utilization." International Journal for Research Trends and Innovation, vol. 10, no. 1, 2025, pp. a275-a280, https://ijrti.org/viewpaperforall.php?paper=IJRTI2501037.
Chicago — 17th, bibliography
Revathi, Busa, DHADI SAI PRANEETH REDDY, and KASIREDDY MANIDEEP REDDY. "Optimizing Multi-Tenancy FPGA Cloud Systems for Efficient Resource Utilization." International Journal for Research Trends and Innovation 10, no. 1 (2025): a275-a280. https://ijrti.org/viewpaperforall.php?paper=IJRTI2501037.
Harvard — author–date
Revathi, B., REDDY, D.S.P. and REDDY, K.M. (2025) 'Optimizing Multi-Tenancy FPGA Cloud Systems for Efficient Resource Utilization', International Journal for Research Trends and Innovation, 10(1), pp. a275-a280. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2501037
IEEE — numbered reference
B. Revathi, D. S. P. REDDY and K. M. REDDY, "Optimizing Multi-Tenancy FPGA Cloud Systems for Efficient Resource Utilization," IJRTI, vol. 10, no. 1, pp. a275-a280, Jan. 2025.
Vancouver — biomedical
Revathi B, REDDY DSP, REDDY KM. Optimizing Multi-Tenancy FPGA Cloud Systems for Efficient Resource Utilization. IJRTI. 2025 Jan;10(1):a275-a280.
AMA — 11th edition
Revathi B, REDDY DSP, REDDY KM. Optimizing Multi-Tenancy FPGA Cloud Systems for Efficient Resource Utilization. IJRTI. 2025;10(1):a275-a280. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2501037
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2501037,
author = {Busa Revathi and DHADI SAI PRANEETH REDDY and KASIREDDY MANIDEEP REDDY},
title = {Optimizing Multi-Tenancy FPGA Cloud Systems for Efficient Resource Utilization},
journal = {International Journal for Research Trends and Innovation},
volume = {10},
number = {1},
pages = {a275-a280},
year = {2025},
month = {January},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2501037}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Revathi, Busa
AU - REDDY, DHADI SAI PRANEETH
AU - REDDY, KASIREDDY MANIDEEP
TI - Optimizing Multi-Tenancy FPGA Cloud Systems for Efficient Resource Utilization
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 10
IS - 1
PY - 2025
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2501037
SP - a275-a280
ER -
Issue
Volume 10 Issue 1,
January-2025
Pages : a275-a280
Other Publication Details
Paper Reg. ID
IJRTI_200308
Published Paper ID
IJRTI2501037
Downloads
205,606
Research Area
Computer Science & TechnologyÂ
Country
WANAPARTHY, TELANGANA, India
Published
January 2025
Published Paper PDF
https://ijrti.org/papers/IJRTI2501037.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2501037
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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The content, data and findings in this article are based on the authors’ research and have been
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
