248 citations · 261 across the 23 of their papers we have counts for
19 papers · 1 filter
A Technique for Load Shifting Low-latency Applications in Multi-Region Renewables Harvesting via SMT Core Pooling
Tharindu B. Hewage, Shashikant Ilager, Maria A. Rodriguez +1
Load shifting across geographic regions to chase intermittent renewable energy availability is commonly used in reducing cloud infrastructure carbon footprint. However, it often om…
Carbon-aware Resource Management for Latency-Sensitive Cloud Computing Environments: A Taxonomy and Future Directions
Tharindu B. Hewage, Shashikant Ilager, Maria Rodriguez Read +1
Proliferation of cloud-based latency-sensitive workloads requires infrastructures tuned to their workload-specific latency constraints. Today, they shape the cloud from a generaliz…
EcoKube: Simulating Carbon-Aware Scheduling Policies in Heterogeneous Edge-Cloud Environments
Gonçalo Ferreira, Shashikant Ilager
Energy demand from cloud and edge computing is rising rapidly, with AI workloads further intensifying electricity use and associated carbon emissions. In hybrid edge-cloud settings…
Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems
Tomasz Szydlo, Viacheslav Horbanov, Devki Nandan Jha +3
Edge computing has emerged as a pivotal technology, offering significant advantages such as low latency, enhanced data security, and reduced reliance on centralized cloud infrastru…
Aging-aware CPU Core Management for Embodied Carbon Amortization in Cloud LLM Inference
Tharindu B. Hewage, Shashikant Ilager, Maria Rodriguez Read +1
Broad adoption of Large Language Models (LLM) demands rapid expansions of cloud LLM inference clusters, leading to accumulation of embodied carbonthe emissions from manufacturin…
GREEN-CODE: Learning to Optimize Energy Efficiency in LLM-based Code Generation
Shashikant Ilager, Lukas Florian Briem, Ivona Brandic
Large Language Models (LLMs) are becoming integral to daily life, showcasing their vast potential across various Natural Language Processing (NLP) tasks. Beyond NLP, LLMs are incre…