260 citations · 582 across the 29 of their papers we have counts for
32 papers
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits
Prabhjot Singh, Adel N. Toosi, Rajkumar Buyya
Circuit cutting lets a large quantum neural network (QNN) run as independent subcircuits on small devices, but rebuilding its outputs by reconstruction carries a classical sampling…
Coordinated Scheduling for MoE LLM Serving
Yifan Sun, Zhexiang Zhang, Jiantong Jiang +5
Serving Mixture-of-Experts (MoE) large language models (LLMs) is challenging because dynamic request workloads interact with sparse expert routing, creating both data-parallel (DP)…
Dynamic Menu-Based Pricing for Electric Vehicle Charging with Vehicle-to-Grid Integration
Mozhdeh Hematiboroujeni, Pierre Le Bodic, Adel N. Toosi +1
The number of electric vehicles is rapidly increasing worldwide. This growth brings significant environmental benefits but also introduces new challenges: uncoordinated charging ca…
Multi-Layer Scheduling for MoE-Based LLM Reasoning
Yifan Sun, Gholamreza Haffari, Minxian Xu +2
Large Language Models (LLMs) have achieved remarkable success across a wide range of tasks, but serving them efficiently at scale remains a critical challenge due to their substant…
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…
DistributedEstimator: Distributed Training of Quantum Neural Networks via Circuit Cutting
Prabhjot Singh, Adel N. Toosi, Rajkumar Buyya
Circuit cutting decomposes a large quantum circuit into smaller subcircuits executed independently; expectation values are recovered by classically combining subcircuit outcomes. P…
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…
Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection
Zihao Chen, Mohammad Goudarzi, Adel Nadjaran Toosi
Kubernetes has emerged as an essential platform for deploying containerised applications across cloud and edge infrastructures. As Kubernetes gains increasing adoption for mission-…
Efficient Routing of Inference Requests across LLM Instances in Cloud-Edge Computing
Shibo Yu, Mohammad Goudarzi, Adel Nadjaran Toosi
The rising demand for Large Language Model (LLM) inference services has intensified pressure on computational resources, resulting in latency and cost challenges. This paper introd…
A Multi-Armed Bandit-Based Participant Selection Method for Federated Recommendation Systems
Jintao Liu, Mohammad Goudarzi, Adel Nadjaran Toosi
Federated Recommendation Systems (FRS) enable privacy-preserving model training by keeping user data on edge devices. However, the practical deployment of FRS in Edge-Cloud environ…
ECORE: Energy-Conscious Optimized Routing for Deep Learning Models at the Edge
Daghash K. Alqahtani, Maria A. Rodriguez, Muhammad Aamir Cheema +2
Edge computing enables data processing closer to the source, significantly reducing latency, an essential requirement for real-time vision-based analytics such as object detection…
Smart Ride and Delivery Services with Electric Vehicles: Leveraging Bidirectional Charging for Profit Optimisation
Jinchun Du, Bojie Shen, Muhammad Aamir Cheema +1
With the rising popularity of electric vehicles (EVs), modern service systems, such as ride-hailing delivery services, are increasingly integrating EVs into their operations. Unlik…
Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data
Seunghyun Lee, Omid Tavallaie, Shuaijun Chen +4
Accommodating edge networks between IoT devices and the cloud server in Hierarchical Federated Learning (HFL) enhances communication efficiency without compromising data privacy. H…
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…
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions
Sundas Iftikhar, Sukhpal Singh Gill, Chenghao Song +15
Resource management in computing is a very challenging problem that involves making sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse nature o…
Performance Evaluation of Serverless Edge Computing for Machine Learning Applications
Quoc Lap Trieu, Bahman Javadi, Jim Basilakis +1
Next generation technologies such as smart healthcare, self-driving cars, and smart cities require new approaches to deal with the network traffic generated by the Internet of Thin…
CAMIG: Concurrency-Aware Live Migration Management of Multiple Virtual Machines in SDN-enabled Clouds
TianZhang He, Adel N Toosi, Rajkumar Buyya
By integrating Software-Defined Networking and cloud computing, virtualized networking and computing resources can be dynamically reallocated through live migration of Virtual Mach…
Efficient Large-Scale Multiple Migration Planning and Scheduling in SDN-enabled Edge Computing
TianZhang He, Adel N Toosi, Rajkumar Buyya
The containerized services allocated in the mobile edge clouds bring up the opportunity for large-scale and real-time applications to have low latency responses. Meanwhile, live co…
Serverless Platforms on the Edge: A Performance Analysis
Hamza Javed, Adel N. Toosi, Mohammad S. Aslanpour
The exponential growth of Internet of Things (IoT) has given rise to a new wave of edge computing due to the need to process data on the edge, closer to where it is being produced…
Digital Twin of a Cloud Data Centre: OpenStack Cluster Visualisation
Sheridan Gomes, Adel N. Toosi, Barrett Ens
Data centres in contemporary times are essential as the supply of data increases. Data centres are areas where computing systems are concentrated for facilitating data processing,…
SLA-Aware Multiple Migration Planning and Scheduling in SDN-NFV-enabled Clouds
TianZhang He, Adel N. Toosi, Rajkumar Buyya
In Software-Defined Networking (SDN)-enabled cloud data centers, live migration is a key approach used for the reallocation of Virtual Machines (VMs) in cloud services and Virtual…
Con-Pi: A Distributed Container-based Edge and Fog Computing Framework
Redowan Mahmud, Adel N. Toosi
Edge and Fog computing paradigms overcome the limitations of cloud-centric execution for different latency-sensitive Internet of Things (IoT) applications by offering computing res…
Software-Defined Multi-domain Tactical Networks: Foundations and Future Directions
Redowan Mahmud, Adel N. Toosi, Maria Alejandra Rodriguez +5
Software Defined Networking (SDN) has emerged as a programmable approach for provisioning and managing network resources by defining a clear separation between the control and data…
Comparing Alternative Route Planning Techniques: A Comparative User Study on Melbourne, Dhaka and Copenhagen Road Networks
Lingxiao Li, Muhammad Aamir Cheema, Hua Lu +2
Many modern navigation systems and map-based services do not only provide the fastest route from a source location s to a target location t but also provide a few alternative route…