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…
Proactive and Reactive Autoscaling Techniques for Edge Computing
Suhrid Gupta, Muhammed Tawfiqul Islam, Rajkumar Buyya
Edge computing allows for the decentralization of computing resources. This decentralization is achieved through implementing microservice architectures, which require low latencie…
REACH: Reinforcement Learning for Adaptive Microservice Rescheduling in the Cloud-Edge Continuum
Xu Bai, Muhammed Tawfiqul Islam, Rajkumar Buyya +1
Cloud computing, despite its advantages in scalability, may not always fully satisfy the low-latency demands of emerging latency-sensitive pervasive applications. The cloud-edge co…
iDynamics: A Configurable Emulation Framework for Evaluating Microservice Scheduling Policies under Controllable Cloud-Edge Dynamics
Ming Chen, Muhammed Tawfiqul Islam, Maria Rodriguez Read +1
This paper presents iDynamics, a configurable emulation framework that exposes these dynamics as controllable experimental factors while running real microservice code on a Kuberne…
TraDE: Network and Traffic-aware Adaptive Scheduling for Microservices Under Dynamics
Ming Chen, Muhammed Tawfiqul Islam, Maria Rodriguez Read +1
The transition from monolithic architecture to microservices has enhanced flexibility in application design and its scalable execution. This approach typically uses a computing clu…
An Intent-based Framework for Vehicular Edge Computing
TianZhang He, Adel N. Toosi, Negin Akbari +2
The rapid development of emerging vehicular edge computing (VEC) brings new opportunities and challenges for dynamic resource management. The increasing number of edge data centers…
Resource Management and Scheduling for Big Data Applications in Cloud Computing Environments
Muhammed Tawfiqul Islam, Rajkumar Buyya
This chapter presents software architectures of the big data processing platforms. It will provide an in-depth knowledge on resource management techniques involved while deploying…