8 citations · 13 across the 8 of their papers we have counts for
16 papers
A Collaborative Artificial Intelligence as a Service Composition Dataset
Deepak Kanneganti, Sajib Mistry, Sheik Fattah +1
Artificial Intelligence as a Service (AIaaS) composition is an emerging research area that enables clients to combine multiple AI services to meet complex requirements. A recent ex…
Performance Drift Detection in Machine Learning as a Service (MLaaS) for IoT Environments
Deepak Kanneganti, Sajib Mistry, Sheik Mohammad Mostakim Fattah +3
Machine Learning as a Service (MLaaS) is a powerful cloud paradigm enabling data-driven intelligent applications in Internet of Things (IoT) environments, widely adopted across hea…
Designing Sustainable Federated Learning as a Service using Neural Architecture Search
Keya Patel, Sajib Mistry, Sheik Fattah +4
The sustainability constraints of FLaaS consumers pose significant challenges to maintaining carbon-feasible federated training in FLaaS environments. These constraints often lead…
Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments
Deepak Kanneganti, Sajib Mistry, Sheik Mohammad Mostakim Fattah +1
The dynamic nature of Internet of Things (IoT) environments affects the long-term effectiveness of Machine Learning as a Service (MLaaS) compositions. Existing adaptive composition…
Machine Learning as a Service (MLaaS) Dataset Generator Framework for IoT Environments
Deepak Kanneganti, Sajib Mistry, Sheik Fattah +2
We propose a novel MLaaS Dataset Generator (MDG) framework that creates configurable and reproducible datasets for evaluating Machine Learning as a Service (MLaaS) selection and co…
Adaptive Composition of Machine Learning as a Service (MLaaS) for IoT Environments
Deepak Kanneganti, Sajib Mistry, Sheik Mohammad Mostakim Fattah +2
The dynamic nature of Internet of Things (IoT) environments challenges the long-term effectiveness of Machine Learning as a Service (MLaaS) compositions. The uncertainty and variab…
Reinforcement Learning Controlled Adaptive PSO for Task Offloading in IIoT Edge Computing
Minod Perera, Sheik Mohammad Mostakim Fattah, Sajib Mistry +1
Industrial Internet of Things (IIoT) applications demand efficient task offloading to handle heavy data loads with minimal latency. Mobile Edge Computing (MEC) brings computation c…
Signature-based IaaS Performance Change Detection
Sheik Mohammad Mostakim Fattah, Athman Bouguettaya
We propose a novel change detection framework to identify changes in the long-term performance behavior of an IaaS service. An IaaS service's long-term performance behavior is repr…
A Survey on UAV-enabled Edge Computing: Resource Management Perspective
Xiaoyu Xia, Sheik Mohammad Mostakim Fattah, Muhammad Ali Babar
Edge computing facilitates low-latency services at the network's edge by distributing computation, communication, and storage resources within the geographic proximity of mobile an…
IaaS Signature Change Detection with Performance Noise
Sheik Mohammad Mostakim Fattah, Athman Bouguettaya
We propose a novel framework to detect changes in the performance behavior of an IaaS service. The proposed framework leverages the concept of the IaaS signature to represent an Ia…
Sequential Learning-based IaaS Composition
Sajib Mistry, Sheik Mohammad Mostakim Fattah, Athman Bouguettaya
We propose a novel IaaS composition framework that selects an optimal set of consumer requests according to the provider's qualitative preferences on long-term service provisions.…
Long-term IaaS Provider Selection using Short-term Trial Experience
Sheik Mohammad Mostakim Fattah, Athman Bouguettaya, Sajib Mistry
We propose a novel approach to select privacy-sensitive IaaS providers for a long-term period. The proposed approach leverages a consumer's short-term trial experiences for long-te…
A CP-Net based Qualitative Composition Approach for an IaaS Provider
Sheik Mohammad Mostakim Fattah, Athman Bouguettaya, Sajib Mistry
We propose a novel CP-Net based composition approach to qualitatively select an optimal set of consumers for an IaaS provider. The IaaS provider's and consumers' qualitative prefer…
Long-term IaaS Selection using Performance Discovery
Sheik Mohammad Mostakim Fattah, Athman Bouguettaya, Sajib Mistry
We propose a novel framework to select IaaS providers according to a consumer's long-term performance requirements. The proposed framework leverages free short-term trials to disco…
Event-based Detection of Changes in IaaS Performance Signatures
Sheik Mohammad Mostakim Fattah, Athman Bouguettaya
We propose a novel ECA approach to manage changes in IaaS performance signatures. The proposed approach relies on the detection of anomalous performance behavior in the context of…
Signature-based Selection of IaaS Cloud Services
Sheik Mohammad Mostakim Fattah, Athman Bouguettaya, Sajib Mistry
We propose a novel approach to select IaaS cloud services for a long-term period where the service providers offer limited QoS information. The proposed approach leverages free sho…