12 citations · 15 across the 10 of their papers we have counts for
12 papers
ADASCALE: An Adaptive Scaling and Placement Framework for Microservices Under Dynamics
Ming Chen, Muhammed Tawfiqul Islam, Maria Rodriguez Read +1
Microservice applications are increasingly deployed across cloud--edge environments, where heterogeneous nodes and time-varying inter-node delays amplify the impact of placement de…
Adaptive Management of Microservices in Dynamic Computing Environments: A Taxonomy and Future Directions
Ming Chen, Muhammed Tawfiqul Islam, Maria Rodriguez Read +1
Microservice-based cloud applications face changing workloads, evolving request paths, variable network conditions, interference, and failures. These dynamics couple autoscaling, p…
PipeLive: Efficient Live In-place Pipeline Parallelism Reconfiguration for Dynamic LLM Serving
Xu Bai, Muhammed Tawfiqul Islam, Chen Wang +1
Pipeline parallelism (PP) is widely used to partition layers of large language models (LLMs) across GPUs, enabling scalable inference for large models. However, existing systems re…
LLM-Driven Intent-Based Privacy-Aware Orchestration Across the Cloud-Edge Continuum
Zijie Su, Muhammed Tawfiqul Islam, Mohammad Goudarzi +1
With the rapid advancement of large language models (LLMs), efficiently serving LLM inference under limited GPU resources has become a critical challenge. Recently, an increasing n…
ORACL: Optimized Reasoning for Autoscaling via Chain of Thought with LLMs for Microservices
Haoyu Bai, Muhammed Tawfiqul Islam, Minxian Xu +1
Applications are moving away from monolithic designs to microservice and serverless architectures, where fleets of lightweight and independently deployable components run on public…
A Hybrid Reactive-Proactive Auto-scaling Algorithm for SLA-Constrained Edge Computing
Suhrid Gupta, Muhammed Tawfiqul Islam, Rajkumar Buyya
Edge computing decentralizes computing resources, allowing for novel applications in domains such as the Internet of Things (IoT) in healthcare and agriculture by reducing latency…