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Now showing items 11-20 of 24
A parallel patient treatment time prediction algorithm and its applications in hospital queuing-recommendation in a big data environment
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Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
Effective patient queue management to minimize patient wait delays and patient overcrowding is one of the major challenges faced by hospitals. Unnecessary and annoying waits for long periods result in substantial human ...
Nutshell - Simulation Toolkit for Modeling Data Center Networks and Cloud Computing
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Cloud computing provides flexibility, reliability, and scalability to its consumers. Applications that run on Cloud are now more resource hungry than ever, and the need is constantly growing. The number of Cloud applications ...
Optimizing cloud-service performance: Efficient resource provisioning via optimal workload allocation
(
IEEE Computer Society
, 2017 , Article)
Cloud computing is being widely accepted and utilized in the business world. From the perspective of businesses utilizing the cloud, it is critical to meet their customers' requirements by achieving service-level-objectives. ...
Performance analysis of data intensive cloud systems based on data management and replication: a survey
(
Springer New York LLC
, 2016 , Article)
As we delve deeper into the ‘Digital Age’, we witness an explosive growth in the volume, velocity, and variety of the data available on the Internet. For example, in 2012 about 2.5 quintillion bytes of data was created on ...
Systematic identification of threats in the cloud: A Survey
(
Elsevier B.V.
, 2019 , Article)
When a vulnerability is discovered in a system, some key questions often asked by the security analyst are what threat(s) does it pose, what attacks may exploit it, and which parts of the system it affects. Answers to those ...
Enabling smart cloud services through remote sensing: An internet of everything enabler
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Institute of Electrical and Electronics Engineers Inc.
, 2014 , Article)
The recent emergence and success of cloud-based services has empowered remote sensing and made it very possible. Cloud-assisted remote sensing (CARS) enables distributed sensory data collection, global resource and data ...
Toward energy-efficient cloud computing: Prediction, consolidation, and overcommitment
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Article)
Energy consumption has become a significant concern for cloud service providers due to financial as well as environmental factors. As a result, cloud service providers are seeking innovative ways that allow them to reduce ...
Processing geo-dispersed big data in an advanced mapreduce framework
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Article)
Big data has emerged as a new era of information generation and processing. Big data applications are expected to provide a lot of benefits and convenience to our lives. Cloud computing is a popular infrastructure that has ...
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 ...
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 ...