Results 111 to 120 of about 15,540 (291)

Modeling Dew Computing in DISSECT-CF-Fog

, 2022
Fog computing provides an effective solution to various problems by extending the cloud’s functionality to typically more limited computing units closer to user devices.
Zorislav Šojat, Mate Biro, Attila Kertesz, Karolj Skala, Andras Markus   +4 more
core   +1 more source

A Random Walk based Load Balancing Algorithm for Fog Computing [PDF]

, 2020
The growth of large scale sensing applications (as in the case of smart cities applications) is a main driver of the fog computing paradigm. However, as the load for such fog infrastructures increases, there is a growing need for coordination mechanisms ...
Beraldi R., Mattia G. P., Lancellotti R., Canali C.   +3 more
core   +1 more source

Transparent and Robust LiCl–Organohydrogel Triboelectric Nanogenerator With Deep Learning Assisted Sensing

Advanced Functional Materials, EarlyView.
Develop a LiCl–PEI–PAM hydrogel with 3000% stretchability and excellent optical transparency. Through comparative studies of various salts, confirm that LiCl is the most suitable salt for high TENG output. Achieve excellent freeze‐resistant, dry‐resistant, and rapid self‐healing (10 s) properties even in extreme environments. Balance ionic conductivity,
Hai Anh Thi Le, Thien Trung Luu, Duc‐Manh Dinh, Kyehan Rhee, Kyungwho Choi, Dukhyun Choi, Yong Tae Park   +6 more
wiley   +1 more source

Game-Theoretic Resource Allocation and Dynamic Pricing Mechanism in Fog Computing

IEEE Access
Fog computing is a promising and challenging paradigm that enhances cloud computing by enabling efficient data processing and storage closer to data sources and users.
Anjan Bandopadhyay, Sujata Swain, Raj Singh, Pritam Sarkar, Siddhartha Bhattacharyya, Leo Mrsic   +5 more
doaj   +1 more source

Enabling Fog Computing using Self-Organizing Compute Nodes

, 2019
The emergence of fog computing has led to the design of multi-layer fog computing models which are organized hierarchically. These models commonly dictate the hierarchical structure to all the participating compute nodes.
Preguica, Nuno, Joao Leitao, Leitao, Joao, Schulte, Stefan, Karagiannis, Vasileios, Nuno Preguica, Vasileios Karagiannis, Stefan Schulte   +7 more
core   +1 more source

Is It Real Type‐II or S‐Scheme? A Three‐Phase Diagnostic Protocol for Identifying Potentially Mislabeled Heterojunction Photocatalysts

Advanced Functional Materials, EarlyView.
Diagnostic analysis via the heterojunction validation funnel. The funnel illustrates the hierarchical stratification of 30 reported Type‐II systems based on the three‐phase, seven‐step diagnostic framework. Complete validation through all phases is achieved by only 3.3% of systems, while 96.7% lack full mechanistic validation, revealing a pervasive ...
Ki‐Hyun Kim
wiley   +1 more source

From cloud computing to fog computing in Healthcare big data

MATEC Web of Conferences, 2018
In Healthcare big data, data is originated from various heterogeneous sources. Numerous novel base particular healthcare applications offered to handling source of data from electronic health record (EHR) to medical images.
Malik Babur Hayat, Mahmood Faisal, Shahzad Sohail, Arif Muhammad Bilawal, Khan Waseem Ur Rehman, Ilyas Sadaf, Hassan Muhammad   +6 more
doaj   +1 more source

Optimizing Internet of Things Services Placement in Fog Computing Using Hybrid Recommendation System

Fog Computing extends Cloud computing capabilities by providing computational resources closer to end users. Fog Computing has gained considerable popularity in various domains such as drones, autonomous vehicles, and smart cities.
Raoudha Ben Djemaa, Layth Sliman, Amine Dhraief, Hanen Ben Rjeb, Hela Zorgati   +4 more
core   +1 more source

Design of an autonomous management and orchestration for Fog Computing

, 2022
S.201-206Fog computing aims to bring cloud computing capabilities to the edge of the network, closer to the end user, enabling lower latencies, location awareness, and mobility support among other advantages.
Dlamini, Sabelo, Ventura, N., Magedanz, Thomas, Mwangama, Joyce   +3 more
core   +1 more source

Surprising Water Slipping Performance on Highly Hydrophilic PEG‐Derived Monolayer‐Covered Surfaces: Preparation, Mechanism, and Application

Advanced Functional Materials, EarlyView.
Highly hydrophilic surfaces (water contact angle, ≈17.7°) exhibiting surprising water slipping performance (sliding angle, ≈7.3°) are successfully prepared via simple chemisorption of polyethylene glycol (PEG) organosilane and subsequent alkali‐treatment.
Hyeonjin Kim, Kouki Akaike, Jerred Wassgren, Hiroshi Kakiuchida, Masahisa Okada, Atsushi Hozumi   +5 more
wiley   +1 more source