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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Optimizing Multi-Tenancy FPGA Cloud Systems for Efficient Resource Utilization
Authors Name: Busa Revathi , DHADI SAI PRANEETH REDDY , KASIREDDY MANIDEEP REDDY
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IJRTI_200308
Published Paper Id: IJRTI2501037
Published In: Volume 10 Issue 1, January-2025
DOI:
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.
Keywords: FPGA, Cloud Comp, Multi-Tenant Systems, High-Performance Computing, AI, Resource Allocation
Cite Article: "Optimizing Multi-Tenancy FPGA Cloud Systems for Efficient Resource Utilization", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 1, page no.a275-a280, January-2025, Available :http://www.ijrti.org/papers/IJRTI2501037.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2501037
Registration ID:200308
Published In: Volume 10 Issue 1, January-2025
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Page No: a275-a280
Country: WANAPARTHY, TELANGANA, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2501037
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2501037
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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