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Now showing items 11-20 of 27
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 ...
Unsupervised learning approach for web application auto-decomposition into microservices
(
Elsevier Inc.
, 2019 , Article)
Nowadays, large monolithic web applications are manually decomposed into microservices for many reasons including adopting a modern architecture to ease maintenance and increase reusability. However, the existing approaches ...
Malicious mining code detection based on ensemble learning in cloud computing environment
(
Elsevier B.V.
, 2021 , Article)
Hackers increasingly tend to abuse and nefariously use cloud services by injecting malicious mining code. This malicious code can be spread through infrastructures in the cloud platforms and pose a great threat to users ...
Enabling smart cloud services through remote sensing: An internet of everything enabler
(
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 ...
Blockchain-based incentives for secure and collaborative data sharing in multiple clouds
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The prosperity of cloud computing has driven an increasing number of enterprises and organizations to store their data on private or public cloud platforms. Due to the limitation of individual data owners in terms of data ...
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 ...