Area of research
Computer Networks and Communications · Information Systems
Research interest
Research interests include Cloud Computing and Resource Management, Advanced Data Storage Technologies, Parallel Computing and Optimization Techniques, and Caching and Content Delivery.
TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms
Coach: Exploiting Temporal Patterns for All-Resource Oversubscription in Cloud Platforms
Enabling Sustainable Cloud Computing With Low-Carbon Server Design
Towards Resource-Efficient Compound AI Systems
Splitwise: Efficient Generative LLM Inference Using Phase Splitting
Cloud abstractions for AI workloads
Workload Intelligence: Workload-Aware IaaS abstraction for Cloud Efficiency
Intent-based System Design and Operation
Characterizing Power Management Opportunities for LLMs in the Cloud
Data Center Power and Energy Management: Past, Present, and Future
Dense Server Design for Immersion Cooling
Palette Load Balancing: Locality Hints for Serverless Functions
Myths and Misconceptions Around Reducing Carbon Embedded in Cloud Platforms
Faster and Cheaper Serverless Computing on Harvested Resources
Flex: High-Availability Datacenters With Zero Reserved Power
LeapIO: Efficient and Portable Virtual NVMe Storage on ARM SoCs
CSR: Small: Scheduling Energy Consumption in Green Datacenters
SHF: Small: Energy-Efficient Memory Subsystems for the Many-Core Era
CSR: Small: Collaborative Research: System Support for Managing Carbon Footprints and Electricity Costs in Internet Services
CSR-PDOS: Integrated World-Wide Software Upgrade Deployment and Testing
CAREER: Energy Prediction and Conservation for Server Clusters
CISE Research Infrastructure: Infrastructure for Power-Aware Server Clusters
Postdoc: Low-Level Optimizations for Next-Generation Disk Devices
CNPq: Service Differentiation, Efficiency, and Scalability in Distributed E-Commerce Servers