47 citations · 89 across the 7 of their papers we have counts for
17 papers
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…
Composing Energy Services in a Crowdsourced IoT Environment
Abdallah Lakhdari, Athman Bouguettaya, Sajib Mistry +1
We propose a novel framework for composing crowdsourced wireless energy services to satisfy users' energy requirements in a crowdsourced Internet of Things (IoT) environment. A new…
Robust Composition of Drone Delivery Services under Uncertainty
Babar Shahzaad, Athman Bouguettaya, Sajib Mistry
We propose a novel robust composition framework for drone delivery services considering changes in the wind patterns in urban areas. The proposed framework incorporates the dynamic…
Reputation Bootstrapping for Composite Services using CP-nets
Sajib Mistry, Athman Bouguettaya
We propose a novel framework to bootstrap the reputation of on-demand service compositions. On-demand compositions are usually context-aware and have little or no direct consumer f…
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…
An Internet of Things Service Roadmap
Athman Bouguettaya, Quan Z. Sheng, Boualem Benatallah +5
We propose a roadmap for leveraging the tremendous opportunities the Internet of Things (IoT) has to offer. We argue that the combination of the recent advances in service computin…
Layer-based Composite Reputation Bootstrapping
Sajib Mistry, Athman Bouguettaya, Lie Qu
We propose a novel generic reputation bootstrapping framework for composite services. Multiple reputation-related indicators are considered in a layer-based framework to implicitly…
Elastic Composition of Crowdsourced IoT Energy Services
Abdallah Lakhdari, Athman Bouguettaya, Sajib Mistry +2
We propose a novel type of service composition, called elastic composition which provides a reliable framework in a highly fluctuating IoT energy provisioning settings. We rely on…
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…
Resilient Composition of Drone Services for Delivery
Babar Shahzaad, Athman Bouguettaya, Sajib Mistry +1
We propose a novel resilient drone service composition framework for delivery in dynamic weather conditions. We use a skyline approach to select an optimal set of candidate drone s…
A Game-Theoretic Drone-as-a-Service Composition for Delivery
Babar Shahzaad, Athman Bouguettaya, Sajib Mistry
We propose a novel game-theoretic approach for drone service composition considering recharging constraints. We design a non-cooperative game model for drone services. We propose a…
Incentive-Based Selection and Composition of IoT Energy Services
Amani Abusafia, Athman Bouguettaya, Sajib Mistry
We propose a novel incentive-based framework for composing energy service requests. An incentive model is designed that considers the context of the providers and consumers to dete…
Swarm-based Drone-as-a-Service (SDaaS) for Delivery
Balsam Alkouz, Athman Bouguettaya, Sajib Mistry
We propose a novel framework for composing Swarm-based Drone-as-a-Service (SDaaS) for delivery. Two composition approaches, i.e., sequential and parallel are designed considering t…
A Conflict Detection Framework for IoT Services in Multi-resident Smart Homes
Dipankar Chaki, Athman Bouguettaya, Sajib Mistry
We propose a novel framework to detect conflicts among IoT services in a multi-resident smart home. A novel IoT conflict model is proposed considering the functional and non-functi…
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…