• A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services 

      Ben Said, Ahmed; Erradi, Abdelkarim; Neiat, Azadeh Ghari; Bouguettaya, Athman ( Springer New York LLC , 2019 , Article)
      This papers presents a deep learning-based framework to predict crowdsourced service availability spatially and temporally. A novel two-stage prediction model is introduced based on historical spatio-temporal traces of ...
    • A service computing manifesto: The next 10 years 

      Bouguettaya, Athman; Singh, Munindar P.; Huhns, Michael N.; Sheng, Quan Z.; Dong, Hai; ... more authors ( Association for Computing Machinery , 2017 , Article Review)
      Mapping out the challenges and strategies for the widespread adoption of service computing is an important task. Service computing is a key paradigm that offers cross-disciplinary computational abstractions, architectures, ...
    • Mobile crowdsourced sensors selection for journey services 

      Ben Said, Ahmed; Erradi, Abdelkarim; Gharia Neiat, Azadeh; Bouguettaya, Athman ( Springer Verlag , 2018 , Conference Paper)
      We propose a mobile crowdsourced sensors selection approach to improve the journey planning service especially in areas where no wireless or vehicular sensors are available. We develop a location estimation model of journey ...
    • Probabilistic qualitative preference matching in long-term IaaS composition 

      Mistry, Sajib; Bouguettaya, Athman; Dong, Hai; Erradi, Abdelkarim ( Springer Verlag , 2017 , Conference Paper)
      We propose a qualitative similarity measure approach to select an optimal set of probabilistic Infrastructure-as-a-Service (IaaS) requests according to the provider's probabilistic preferences over a long-term period. The ...
    • Qualitative economic model for long-term IaaS composition 

      Mistry, Sajib; Bouguettaya, Athman; Dong, Hai; Erradi, Abdelkarim ( Springer Verlag , 2016 , Conference Paper)
      We propose a new qualitative economic model based optimization approach to compose an optimal set of infrastructure service requests over a long-term period. The economic model is represented as a temporal CP-Net to capture ...
    • Sentiment Analysis as a Service: A Social Media Based Sentiment Analysis Framework 

      Ali, Kashif; Dong, Hai; Bouguettaya, Athman; Erradi, Abdelkarim; Hadjidj, Rachid ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      We propose a 'Sentiment Analysis as a Service' (SAaaS) framework that abstracts sentiments from social information services, analyses and transforms into useful information. We propose a dynamic service composition mechanism ...
    • Social-sensor cloud service for scene reconstruction 

      Aamir, Tooba; Bouguettaya, Athman; Dong, Hai; Mistry, Sajib; Erradi, Abdelkarim ( Springer Verlag , 2017 , Conference Paper)
      We propose a new social-sensor cloud services selection framework for scene reconstruction. The proposed research represents social media data streams, i.e., images' metadata and related posted information, as social sensor ...
    • Social-Sensor Cloud Service Selection 

      Aamir, Tooba; Bouguettaya, Athman; Dong, Hai; Erradi, Abdelkarim; Hadjidj, Rachid ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      We propose a new framework for social-sensor cloud services selection based on spatio-textual correlation between user's query and service. The proposed research defines a formal social-sensor cloud service model that ...
    • Using Financial Options for Pricing of IaaS Cloud Resources 

      Erradi, Abdelkarim; Sharma, Bhanu; Bouguettaya, Athman ( IEEE Computer Society , 2017 , Conference Paper)
      IaaS cloud resources are offered by cloud providers using various pricing schemes such as reservation, scheduled, on-demand and spot pricing. Such pricing models suffer from either wasteful payment in case of underutilization ...
    • Web Application Resource Requirements Estimation Based on the Workload Latent Features 

      Erradi, Abdelkarim; Iqbal, Waheed; Mahmood, Arif; Bouguettaya, Athman ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Most cloud computing platforms offer reactive resource auto-scaling mechanisms for dealing with variable traffic patterns to deliver the desired QoS properties while keeping low provisioning costs. However, a range of ...