Enhancing Cloud Infrastructure through Software-Defined Orchestration
ER. VISHESH NARENDRA PAMADI
, UJJAWAL JAIN , DR. MAMTA GOYAL
Software-Defined Orchestration, Cloud Infrastructure, Software-Defined Networking, Automation, Resource Utilization, Flexibility, Scalability, Software-Defined Storage, Cloud Management
In the rapidly evolving landscape of cloud computing, the need for agile, scalable, and efficient infrastructure management has become paramount. Traditional cloud management techniques often struggle to meet the dynamic demands of modern enterprises. Software-Defined Orchestration (SDO) emerges as a transformative approach, leveraging software-defined networking (SDN), software-defined storage (SDS), and other software-driven methodologies to optimize cloud infrastructure. This paper explores the principles and implementation of SDO, highlighting its capacity to enhance flexibility, automation, and resource utilization within cloud environments. By decoupling the control and data planes, SDO enables precise, automated management of cloud resources, fostering innovation and efficiency. The integration of SDO with existing cloud infrastructure allows organizations to adapt rapidly to changing workloads, improve service delivery, and reduce operational costs. Case studies and empirical data demonstrate the tangible benefits of SDO in various sectors, from enterprise IT to telecommunications. The paper also addresses the challenges and considerations in deploying SDO, such as interoperability, security, and the need for standardized protocols. Ultimately, this study underscores the pivotal role of Software-Defined Orchestration in realizing the full potential of cloud infrastructure, paving the way for more intelligent, resilient, and responsive cloud solutions
"Enhancing Cloud Infrastructure through Software-Defined Orchestration", JNRID - JOURNAL OF NOVEL RESEARCH AND INNOVATIVE DEVELOPMENT (www.JNRID.org), ISSN:2984-8687, Vol.2, Issue 5, page no.a290-a305, May-2024, Available :https://tijer.org/JNRID/papers/JNRID2405035.pdf
Volume 2
Issue 5,
May-2024
Pages : a290-a305
Paper Reg. ID: JNRID_700577
Published Paper Id: JNRID2405035
Downloads: 000494
Research Area: Science and Technology
Country: -, -, India
ISSN: 2984-8687 | IMPACT FACTOR: 9.57 Calculated By Google Scholar | ESTD YEAR: 2023
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: JNRID (IJ Publication) Janvi Wave