Workload-Adaptive Sharding Algorithms for Global Key-Value Stores

Registration ID: IJNRD_303314

Published ID: IJNRD2308458

: Click Here to Get

Suket Gakhar ,, Abhinav Raghav

Workload-adaptive sharding, global key-value stores, data distribution, dynamic workload, load balancing, performance optimization, scalability, distributed systems, latency reduction, real-time workload monitoring.

As the use of high-performance, globally distributed applications continues growing, the requirements for efficient storage and retrieval mechanisms over data become an increasingly important element. Global Key-Value Stores (GKVS) lay the foundation under many modern applications, providing highly scalable and fault-tolerant solutions. Of course, significant challenges in this system are centered around the placement of data at multiple servers - with the twin goals of achieving optimized performance while introducing minimal latency. Traditional sharding techniques are effective but cannot adapt to dynamic workload patterns, which result in imbalances in data distribution, hot spots, and suboptimal system performance. This paper introduces a set of workload-adaptive sharding algorithms designed to enhance the performance of GKVS by adapting the data distribution strategy based on real-time workload characteristics. These algorithms carefully monitor traffic patterns, data access frequency, and query distribution to dynamically adapt the sharding scheme to ensure an even distribution of both data and workload across the available servers. The proposed algorithms continuously adapt to changes in workload, thus avoiding hot spots and improving the overall throughput of the system. We present evaluations of these adaptive sharding techniques against traditional techniques, showing great improvements in terms of load balancing and response time. Our experiments show that there is a clear need for including workload awareness in the design of sharding techniques so as to maintain optimal performance in large-scale distributed environments. The proposed solutions provide a very pragmatic way to increase the scalability and responsiveness of GKVS, and thus are well-suited to real-world applications with dynamic patterns

Published Paper   E-Certificate

Suket Gakhar , & Abhinav Raghav (August-2023). Workload-Adaptive Sharding Algorithms for Global Key-Value Stores. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(8), e594-e611. https://ijnrd.org/papers/IJNRD2308458.pdf

Volume 8 Issue 8, August-2023

Pages : e594-e611

Paper Reg. ID: IJNRD_303314

Published Paper Id: IJNRD2308458

Downloads: 000121987

Research Area: Science and Technology

Author Type: Indian Author

Country: -, -, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2308458.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2308458

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

UGC CARE JOURNAL PUBLICATION | ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License. and The Open Definition.

You are free to share, adapt, and redistribute the material, provided proper credit is given to the original author. 🛡️ Disclaimer: The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.

Call For Paper - Volume 10 | Issue 11 | November 2025

IJNRD is a Scholarly Open Access, Peer-Reviewed, Refereed, and UGC CARE Journal Publication with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost, and Transparent Peer Review Journal Publication that adheres to the UGC CARE 2025 Peer-Reviewed Journal Policy and aligns with Scopus Journal Publication standards to ensure the highest level of research quality and credibility.

IJNRD offers comprehensive Journal Publication Services including indexing in all major databases and metadata repositories, Digital Object Identifier (Crossref DOI) assignment for each published article with additional fees, citation generation tools, and full Open Access visibility to enhance global research reach and citation impact.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse academic and professional fields. The journal promotes global knowledge exchange among researchers, developers, academicians, engineers, and practitioners, serving as a trusted platform for innovative, peer-reviewed journal publication and scientific collaboration.

Indexing Coverage: Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many other recognized academic repositories.

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

You can now publish your research in IJNRD. IJNRD is a Transparent Peer-Reviewed Open Access Journal Publication (Refereed Journal), aligning with New UGC and UGC CARE recommendations.

For more details, refer to the official notice: UGC Public Notice

Submit Paper Online

Important Dates for Current issue

Paper Submission Open For: November 2025

Current Issue: Volume 10 | Issue 11 | November 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 30-Nov-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details

Approval, Licenses and Indexing: More Details