Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
Heterogeneous edge computing open platforms and tools for internet of things
With the continuous development of Internet of Things (IoT) and the overwhelming explosion
of Big Data, edge computing serves as an efficient computing mode for time stringent data …
of Big Data, edge computing serves as an efficient computing mode for time stringent data …
Web 3.0: The future of internet
W Gan, Z Ye, S Wan, PS Yu - Companion Proceedings of the ACM Web …, 2023 - dl.acm.org
With the rapid growth of the Internet, human daily life has become deeply bound to the
Internet. To take advantage of massive amounts of data and information on the internet, the …
Internet. To take advantage of massive amounts of data and information on the internet, the …
Containerization for high performance computing systems: Survey and prospects
Containers improve the efficiency in application deployment and thus have been widely
utilised on Cloud and lately in High Performance Computing (HPC) environments …
utilised on Cloud and lately in High Performance Computing (HPC) environments …
BCFL logging: An approach to acquire and preserve admissible digital forensics evidence in cloud ecosystem
K Awuson-David, T Al-Hadhrami, M Alazab… - Future Generation …, 2021 - Elsevier
Log files are the primary source of recording users, applications and protocols, activities in
the cloud ecosystem. Cloud forensic investigators can use log evidence to ascertain when …
the cloud ecosystem. Cloud forensic investigators can use log evidence to ascertain when …
Reinventing high performance computing: challenges and opportunities
The world of computing is in rapid transition, now dominated by a world of smartphones and
cloud services, with profound implications for the future of advanced scientific computing …
cloud services, with profound implications for the future of advanced scientific computing …
Hyscale: Hybrid and network scaling of dockerized microservices in cloud data centres
A Kwan, J Wong, HA Jacobsen… - 2019 IEEE 39th …, 2019 - ieeexplore.ieee.org
When designing modern software, care must be taken to allow for applications to scale
based on the demands of its users while still accommodating flexibility in development …
based on the demands of its users while still accommodating flexibility in development …
LogKG: Log Failure Diagnosis through Knowledge Graph
Y Sui, Y Zhang, J Sun, T Xu, S Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Logs are one of the most valuable data to describe the running state of services. Failure
diagnosis through logs is crucial for service reliability and security. The current automatic log …
diagnosis through logs is crucial for service reliability and security. The current automatic log …
A survey on the service interoperability in cloud computing: client‐centric and provider‐centric perspectives
NEH Bouzerzour, S Ghazouani… - Software: Practice and …, 2020 - Wiley Online Library
The vendor lock‐in is a prominent issue in cloud computing. It is caused by cloud providers
who offer proprietary services, which hinders the cloud interoperability. Client‐centric …
who offer proprietary services, which hinders the cloud interoperability. Client‐centric …
SLICES, a scientific instrument for the networking community
A science is defined by a set of encyclopedic knowledge related to facts or phenomena
following rules or evidenced by experimentally-driven observations. Computer Science and …
following rules or evidenced by experimentally-driven observations. Computer Science and …