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A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted living
(
Elsevier
, 2015 , Article)
This research aims to describe pattern recognition models for detecting behavioural and health-related changes in a patient who is monitored continuously in an assisted living environment. The early anticipation of anomalies ...
A Computation Offloading Incentive Mechanism with Delay and Cost Constraints under 5G Satellite-Ground IoV Architecture
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
The 5G Internet of Vehicles has become a new paradigm alongside the growing popularity and variety of computation-intensive applications with high requirements for computational resources and analysis capabilities. Existing ...
Learning predictive autoscaling policies for cloud-hosted microservices using trace-driven modeling
(
IEEE Computer Society
, 2019 , Conference Paper)
Autoscaling methods are important to ensure response time guarantees for cloud-hosted microservices. Most of the existing state-of-the-art autoscaling methods use rule-based reactive policies with static thresholds defined ...
AUDIT: approving and tracking updates with dependencies in collaborative databases
(
Springer New York LLC
, 2018 , Article)
Collaborative databases such as genome databases, often involve extensive curation activities where collaborators need to interact to be able to converge and agree on the content of data. In a typical scenario, a member ...
A risk mitigation approach for autonomous cloud intrusion response system
(
Springer-Verlag Wien
, 2016 , Article)
Cloud computing delivers on-demand resources over the Internet on a pay-for-use basis, intruders may exploit clouds for their advantage. This paper presents Autonomous Cloud Intrusion Response System (ACIRS), a proper ...
A blockchain-based fog computing framework for activity recognition as an application to e-Healthcare services
(
Elsevier B.V.
, 2019 , Article)
In modern e-Healthcare systems, human activity recognition (HAR) is one of the most challenging tasks in remote monitoring of patients suffering from mental illness or disabilities for necessary assistance. One of the major ...
Efficient alignment of next generation sequencing data using MapReduce on the cloud
(
Institute of Electrical and Electronics Engineers Inc.
, 2012 , Conference Paper)
This paper presents a methodology for running NGS read mapping tools in the cloud environment based on the MapReduce programming paradigm. As a demonstration, the recently developed and robust sequence alignment tool, ...
Automatic verification of health regulatory compliance in cloud computing
(
IEEE
, 2013 , Conference Paper)
This paper aims to develop an approach that enables cloud computing clients to verify health regulatory compliance claimed by cloud computing providers. In this approach, clients of cloud computing could check automatically ...
A Process Model for Customisation of Software in Multi-tenant SaaS Model
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
This paper outlines a generic process framework for customisation of software in cloud computing. The flexibility for client-specific customisation of the software offered by software-as-a-service (SaaS) is limited. The ...
Garbled computation in cloud
(
Elsevier
, 2016 , Article)
With the wide adoption of cloud computing paradigm, it is important to develop appropriate techniques to protect client data privacy in the cloud. Encryption is one of the major techniques that could be used to achieve ...