Welcome to Cloud & Smart System Services (CS^3) Research group

Ever wondered how cloud computing can be made smarter and more efficient? How intelligent systems can revolutionize modern services? What innovations drive the next generation of scalable, secure, and adaptive computing platforms? How can AI and edge computing reshape the way we interact with technology?
At the Cloud & Smart System Services (CS^3) Lab, part of the Department of Computer Science & Engineering at NITK Surathkal, we delve into these questions and more. Our research focuses on designing and optimizing cutting-edge technologies that power the backbone of modern computing systems. Our areas of expertise include:

  • Cloud Computing: Architecting scalable, containerized, and energy-efficient infrastructures using virtualization and multi-cloud strategies.
  • Smart Systems: Developing AI-driven solutions for intelligent automation and decision-making.
  • Edge Computing: Enabling low-latency, high-performance systems for real-time applications.
  • Security in Distributed Systems: Building robust mechanisms to safeguard data and services in cloud-native environments.
  • Service Optimization: Innovating in resource allocation, container orchestration, and system scheduling for optimal performance.

As a pioneering research group, CS^3 Lab combines theoretical insights with practical implementations to address challenges in cloud computing and smart systems. From improving resource utilization in large-scale datacenters to designing intelligent services for IoT ecosystems, our work is at the forefront of transforming how technology serves society.

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Announcements

March, 2025 Associate Editor : Selected as Editorial Board Member (Associate Editor) @ "IEEE Transactions on Services Computing" to Dr. Addya
January, 2025 Paper Accepted : Our work "DCRDA" has been accepted in Journal of Cluster Computing, Springer (IF-3.6).
January, 2025 Best Paper Award: Best Paper Award (Poster Track) @ "17th COMSNETS 2025"
November, 2024 Executive Guest Editor: Selected as Executive Guest Editor Ad Hoc Network, Elsevier: Special Issue (IF-4.8) to Dr. Addya
July, 2024 Paper Accepted Our work "EFraS" has been accepted in Journal of Simulation Modelling Practice and Theory, Elsevier (IF-4.2).

Collaborating with the Best

Opensource Contributions

EFraS

Emulated framework to develop and analyze dynamic Virtual Network Embedding strategies over SDN infrastructure

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InDS

Intelligent DRL Strategy for Effective Virtual Network Embedding of an Online Virtual Network Requests

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