Shashikant Ilager

TU Wien, University of Melbourne

Papers

2

Total Citations

64

H-Index

2

About

Shashikant Ilager is a leading researcher in cloud computing, specializing in resource management, microservices orchestration, and elastic computing across edge-to-cloud environments. His most impactful contribution is the development of "CoScal," a multifaceted scaling framework for microservices that leverages reinforcement learning to optimize performance in dynamic cloud systems. This work, published in 2022, has already garnered 62 citations, reflecting its significance in addressing the challenges of transitioning from monolithic to lightweight, fine-grained microservice architectures. Ilager’s research tackles critical issues in efficient execution and scaling of microservices, which are essential for modern, latency-sensitive applications. He also co-edited a special issue on elastic computing from edge to cloud, highlighting his leadership in exploring how IoT-generated data can be processed seamlessly across distributed infrastructures. With a focus on AI-driven optimization, Ilager’s work is shaping the future of adaptive, resource-efficient cloud systems, making him a key figure for students and researchers interested in scalable, intelligent computing paradigms.

Research Focus

Key Achievements

2
H-Index
2
Papers
64
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning
62 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: TU Wien, University of Melbourne

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago