SCIS · University of Hyderabad

Cloud Computing &
Smart Solutions Laboratory

Researching cloud, edge, and IoT technologies to develop intelligent and scalable smart solutions.

Our Research Contact Us

Principal Investigator

The lab is led by Prof. Satish Narayana Srirama, a leading researcher in cloud and distributed computing.

Prof. Satish Narayana Srirama

Prof. Satish Narayana Srirama

Professor · SCIS, University of Hyderabad

Ph.D., RWTH Aachen University, Germany (2008)

IEEE Senior Member

Editor, Wiley Software: Practice and Experience Journal

Visiting Professor, University of Tartu, Estonia

Homepage Google Scholar

Research Areas

Our work spans distributed systems, intelligent networks, and data-driven cloud infrastructure.

Explore lab projects on GitHub
CC

Cloud Computing

Migrating scientific and enterprise applications to the cloud; scalable cloud-native architectures.

EDG

Fog & Edge Computing

Processing data closer to the source — reducing latency and bandwidth for real-time IoT applications.

IOT

Internet of Things

Connecting smart devices and managing IoT-driven application pipelines at scale.

LLM

LLM on Edge

Deploying LLMs at the edge to deliver real-time insights with reduced latency and improved data privacy.

FL

Federated Learning

A Decentralized approach designed to train deep networks across distributed nodes while preserving data privacy.

SVL

Serverless Computing

Designing and evaluating serverless data pipelines in edge-fog-cloud continuum environments.

DDA

Distributed Data Analytics

Processing and analyzing large-scale data across multiple interconnected systems to enable scalable, efficient, and real-time insights.

DEV

DevOps

Integrating development and operations practices to automate workflows, accelerate delivery, and ensure reliable, continuous software deployment.

Projects

Current and completed projects led by the lab across federated learning, fog computing, and IoT orchestration.

Current Project

Cluster-Aware Federated Learning (CAFL): Exploiting Subnetwork Insights for Targeted Model Training

UoH-ANRF-PAIR-2025-TASK_27

Sep 2025 - Oct 2030

Finished Project

Fog computing framework for monitoring campus flora and fauna using AI/ML

IoE Project, University of Hyderabad

Dec 2021 - Jan 2025

Finished Project

Next-Generation Internet of Things Applications Orchestration and Service Provisioning at Fog Networks

SERB CRG Project, University of Hyderabad

Jan 2022 - Jul 2025

Current Team

Current PhD students and active researchers in the lab.

Rahul Siyanwal

PhD Scholar

Fog Computing · Dynamic Deployment

Guntuka Sudeep

PhD Scholar

Big Data Security in Cloud

Tejasri Reddy Kadari

PhD Scholar

Distributed Data Analytics · Apache Spark

Nirma Devi

PhD Scholar

SDN in Fog Computing

Saathvikk

M.Tech

Dynamic Deployment for Resource Contrainted Devices

Kruthi Reddy Jogannagari

Project Member

Federated Learning

Lab Alumni

Completed PhDs

PhD Alumni

Aditya Kumar

University of Hyderabad, 2026

Design and Feasibility Analysis of Federated Learning on Edge-to-Cloud Continuum: Framework Development, Addressing Stragglers and Explainability Integration

PhD Alumni

Mirampalli Sreenivasu

University of Hyderabad, 2025

Serverless Data Pipelines Achieving Better QoE in Edge-Fog-Cloud Continuum

Past Members of the Lab

M S Chaitanya Kumar

2024-2025

S. Anusri

2024-2025

Anant Shekhar

2023-2024

Arun Dharavath

2022-2023

Rajesh Thalla

2022-2023

Sucharitha Isukapalli

2022-2023

Subramanyam Challa

2022-2023

Aryan Prit

2021-2022

Deepika Siva Naga Vemuri

2021-2022

Suvam Basak

2021-2022

Gadagoju Abhilash

2020-2021

Publications

ML-CLSCKS: Module Lattice based Certificateless Signcryption with Keyword Search in Cloud Storage
S. Guntuka, S. K. Pasupuleti, S. N. Srirama · Journal of Information Security and Applications, 2026. Elsevier.
Serverless Data Pipeline Architecture Supporting Distributed Machine Learning on Fog Devices
Anusri S., S. N. Srirama · Computer Communications, 2026. Elsevier.
Quality of Experience Based Dynamic Path Serverless Data Pipelines in Edge/Fog Computing
S. Mirampalli, R. Wankar, S. N. Srirama · Software: Practice and Experience, 2025. Wiley.
Comparison of Distributed Machine Learning Frameworks in a Fog Environment: Conceptual and Performance Analysis
Anusri S., S. N. Srirama · Internet of Things Journal, 2025. Elsevier.
FedStrag: Straggler-aware Federated Learning for Low Resource Devices
A. Kumar, S. N. Srirama · Digital Communications and Networks, 2025. KeAi.
An Energy Efficient Fog-based Internet of Things Framework to Combat Wildlife Poaching
Rahul Siyanwal, Arun Agarwal, S. N. Srirama · Sustainable Computing: Informatics and Systems, 2025. Elsevier.
FogDEFTKube: Standards-Compliant Dynamic Deployment of Fog Service Containers
Rajesh Thalla, S. N. Srirama · Software: Practice and Experience, 2024. Wiley.
Fog Computing out of the Box: Dynamic Deployment of Fog Service Containers with TOSCA
S. Basak, S. N. Srirama · International Journal of Network Management, 2024. Wiley.
Fog Computing out of the Box with FogDEFT Framework: A Case Study
S. N. Srirama, S. Basak · IEEE 15th International Conference on Cloud Computing (CLOUD 2022), Barcelona, Spain. IEEE.
A Systematic Survey on Fault-Tolerant Solutions for Distributed Data Analytics: Taxonomy, Comparison, and Future Directions
Sucharitha Isukapalli, S. N. Srirama · Computer Science Review, 2024. Elsevier.
FIDEL: Fog Integrated Federated Learning Framework to Train Neural Networks
A. Kumar, S. N. Srirama · Software: Practice and Experience, 2024. Wiley.
Evaluating NiFi and MQTT Based Serverless Data Pipelines in Fog Computing Environments
S. Mirampalli, R. Wankar, S. N. Srirama · Future Generation Computer Systems, 2024. Elsevier.
CANTO: An Actor Model-based Distributed Fog Framework Supporting Neural Networks Training in IoT Applications
S. N. Srirama, Deepika Vemuri · Computer Communications, 2023. Elsevier.
Hierarchical Fuzzy-based Quality of Experience (QoE)-aware Application Placement in Fog Nodes
Sreenivasu Mirampalli, S. N. Srirama, R. Wankar, Raghavendra Rao Chillarige · Software: Practice and Experience, 2023. Wiley.
QS-IBEKS: Quantum Safe and Efficient Identity based Encryption with Keyword Search in Cloud Storage
S. Guntuka, S. K. Pasupuleti, S. N. Srirama · CONFLUENCE 2026, Noida, India. Springer.
ML-CLEKS: Module Lattice based Certificateless Encryption with Keyword Search in Cloud Storage
Sudeep Guntuka, Syam Kumar Pasupuleti, S. N. Srirama · CloudCom 2025, Shenzhen, China. IEEE.
Dynamic Deployment of Serverless Data Pipeline on Fog Nodes
S. Mirampalli, R. Wankar, S. N. Srirama · BDA 2024, University of Hyderabad, India. Springer.
Fog Enabled Distributed Training Architecture for Federated Learning
Aditya Kumar, S. N. Srirama · BDA 2021, Prayagraj, India. Springer.

Get in Touch

For research collaborations, student inquiries, or general questions.

Location

SCIS Building, University of Hyderabad
Hyderabad – 500046, India

Email

satish.srirama@uohyd.ac.in

Homepage

scis.uohyd.ac.in/~srirama scis.uohyd.ac.in