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A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services
(
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 ...
Sentiment Analysis as a Service: A Social Media Based Sentiment Analysis Framework
(
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 ...
A service computing manifesto: The next 10 years
(
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, ...
Using Financial Options for Pricing of IaaS Cloud Resources
(
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 ...
Social-Sensor Cloud Service Selection
(
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 ...
Qualitative economic model for long-term IaaS composition
(
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 ...
Web Application Resource Requirements Estimation Based on the Workload Latent Features
(
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 ...
Social-sensor cloud service for scene reconstruction
(
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 ...
Probabilistic qualitative preference matching in long-term IaaS composition
(
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 ...
Mobile crowdsourced sensors selection for journey services
(
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 ...