Serverless computing for Internet of Things: A systematic literature review
Serverless computing, or Function as a Service (FaaS), represents a research trend where
applications are built and deployed as a group of stateless functions. Although initially …
applications are built and deployed as a group of stateless functions. Although initially …
Survey on serverless computing
Serverless computing has gained importance over the last decade as an exciting new field,
owing to its large influence in reducing costs, decreasing latency, improving scalability, and …
owing to its large influence in reducing costs, decreasing latency, improving scalability, and …
Data protection by design tool for automated GDPR compliance verification based on semantically modeled informed consent
The enforcement of the GDPR in May 2018 has led to a paradigm shift in data protection.
Organizations face significant challenges, such as demonstrating compliance (or …
Organizations face significant challenges, such as demonstrating compliance (or …
Serverless data pipeline approaches for IoT data in fog and cloud computing
With the increasing number of Internet of Things (IoT) devices, massive amounts of raw data
is being generated. The latency, cost, and other challenges in cloud-based IoT data …
is being generated. The latency, cost, and other challenges in cloud-based IoT data …
[HTML][HTML] A reference architecture for serverless big data processing
Despite significant advances in data management systems in recent decades, the
processing of big data at scale remains very challenging. While cloud computing has been …
processing of big data at scale remains very challenging. While cloud computing has been …
TOSCAdata: Modeling data pipeline applications in TOSCA
The serverless platform allows a customer to effectively use cloud resources and pay for the
exact amount of used resources. A number of dedicated open source and commercial cloud …
exact amount of used resources. A number of dedicated open source and commercial cloud …
Enhancing data management strategies with a hybrid layering framework in assessing data validation and high availability sustainability
Individuals and digital organizations deal with a substantial amount of collected data
required for performing various data management strategies, such as replacing, upgrading …
required for performing various data management strategies, such as replacing, upgrading …
[HTML][HTML] Enabling privacy-aware interoperable and quality IoT data sharing with context
Abstract Sharing Internet of Things (IoT) data across different sectors, such as in smart cities,
becomes complex due to heterogeneity. This poses challenges related to a lack of …
becomes complex due to heterogeneity. This poses challenges related to a lack of …
Modeling the interaction of SARS-CoV-2 binding to the ACE2 receptor via molecular theory of solvation
AE Kobryn, Y Maruyama… - New Journal of …, 2021 - pubs.rsc.org
The angiotensin-converting enzyme 2 (ACE2) protein is a cell gate receptor for the SARS-
CoV-2 virus, responsible for the development of symptoms associated with the Covid-19 …
CoV-2 virus, responsible for the development of symptoms associated with the Covid-19 …
Deep Reinforcement Learning (DRL)-Based Methods for Serverless Stream Processing Engines: A Vision, Architectural Elements, and Future Directions
Streaming applications are becoming widespread across an extensive range of business
domains as an increasing number of sources continuously produce data that need to be …
domains as an increasing number of sources continuously produce data that need to be …