State-of-the-art load balancing algorithms for mist-fog-cloud assisted paradigm: a review and future directions
The rapid growth of IoT devices leads to increasing requests. These tremendous requests
cannot be processed by IoT devices due to the computational power of IoT devices and the …
cannot be processed by IoT devices due to the computational power of IoT devices and the …
Next generation task offloading techniques in evolving computing paradigms: Comparative analysis, current challenges, and future research perspectives
Cloud computing being an integral part of today's technical advancements, still faces issues
regarding resource allocation, task scheduling, communication latency, etc. To address …
regarding resource allocation, task scheduling, communication latency, etc. To address …
Intelligent Latency-aware tasks prioritization and offloading strategy in Distributed Fog-Cloud of Things
Offloading the dynamic tasks with fog computing is envisioned as a viable option for
prolonging resource-limited constraints and improving the computational and …
prolonging resource-limited constraints and improving the computational and …
A heuristic approach to improve the data processing in big data using enhanced Salp Swarm algorithm (ESSA) and MK-means algorithm
MR Sundarakumar, D Salangai Nayagi… - Journal of Intelligent …, 2023 - content.iospress.com
Improving data processing in big data is a delicate procedure in our current digital era due to
the massive amounts of data created by humans and machines in daily life. Handling this …
the massive amounts of data created by humans and machines in daily life. Handling this …
An energy-aware task offloading and load balancing for latency-sensitive IoT applications in the Fog-Cloud continuum
With the voluminous information being produced by the Internet of Things (IoT) smart
gadgets, the consumers with their countless service requests are also growing rapidly. As …
gadgets, the consumers with their countless service requests are also growing rapidly. As …
An improved pathfinder algorithm using opposition-based learning for tasks scheduling in cloud environment
Cloud computing (CC) has become a major topic of study in recent years, providing a cost-
effective deployment framework for hosting and running workflows. It is considered as the …
effective deployment framework for hosting and running workflows. It is considered as the …
Integration of Quantum Technologies into Metaverse: Applications, Potentials, and Challenges
Over the last few decades, technology has been improving dramatically and consequently
transformed the standard of living and socio-economic conditions. The entire process will …
transformed the standard of living and socio-economic conditions. The entire process will …
Delay Tolerant and Energy Reduced Task Allocation in Internet of Things with Cloud Systems
Through the utilization of the Internet, cloud computing supplies storage and computation
resources to deliver services for many sectors. The speed of such systems suffers, though …
resources to deliver services for many sectors. The speed of such systems suffers, though …
AVQS-NN: adaptive virtualization for quantum services for application support using neural networks
CN Selvin, V Varadarajan, A Panneerselvam… - Applied Soft …, 2023 - Elsevier
Reliable application support is provided by quantum networks utilizing internal and
superposition service network topologies. To provide continuous accessibility, the …
superposition service network topologies. To provide continuous accessibility, the …
EFog-IoT: Harnessing power consumption in fog-assisted of things
The ever-increasing use of Internet of Things (IoT) devices like smartphones, PDAs,
smartwatches, etc. by the users has also drastically increased the volume of data that needs …
smartwatches, etc. by the users has also drastically increased the volume of data that needs …