Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104299 - 104299
Published: Feb. 1, 2025
Language: Английский
Electronics, Journal Year: 2022, Volume and Issue: 11(22), P. 3730 - 3730
Published: Nov. 14, 2022
The metaverse has gained popularity recently in many areas including social media, healthcare, education and manufacturing. This work explores the use of concept for cultural heritage applications. motivation is to develop a systematic approach construction offer, potentially, more effective solutions tourism guidance, site maintenance, object conservation, etc. We propose framework this with an emphasis on fundamental elements characterization mapping between physical virtual worlds. Efforts are made analyze dimensional structures metaverse. Specifically, five different dimensions, linearity, planarity, space, time context, discussed better understand proposed methodology novel can be applied digitalization via its development. followed by detailed case study illustrate tangible procedure, constructing complex dynamic nature which used applications, conservation.
Language: Английский
Citations
86
IEEE Communications Surveys & Tutorials, Journal Year: 2023, Volume and Issue: 26(1), P. 619 - 669
Published: Nov. 30, 2023
The proliferation of ubiquitous Internet Things (IoT) sensors and smart devices in several domains embracing healthcare, Industry 4.0, transportation agriculture are giving rise to a prodigious amount data requiring everincreasing computations services from cloud the edge network.Fog/Edge computing is promising distributed paradigm that has drawn extensive attention both industry academia.The infrastructural efficiency these paradigms necessitates adaptive resource management mechanisms for offloading decisions efficient scheduling.Resource Management (RM) non-trivial issue whose complexity result heterogeneous resources, incoming transactional workload, node discovery, Quality Service (QoS) parameters at same time, which makes efficacy resources even more challenging.Hence, researchers have adopted Artificial Intelligence (AI)-based techniques resolve abovementioned issues.This paper offers comprehensive review issues challenges Fog/Edge by categorizing them into provisioning task offloading, scheduling, service placement, load balancing.In addition, existing AI non-AI based state-of-the-art solutions been discussed, along with their QoS metrics, datasets analysed, limitations challenges.The survey provides mathematical formulation corresponding each categorized issue.Our work sheds light on research directions cutting-edge technologies such as Serverless computing, 5G, Industrial IoT (IIoT), blockchain, digital twins, quantum Software-Defined Networking (SDN), can be integrated frameworks fog/edge-of-things improve business intelligence analytics amongst IoT-based applications.
Language: Английский
Citations
83
ACM Computing Surveys, Journal Year: 2023, Volume and Issue: 55(14s), P. 1 - 43
Published: April 12, 2023
The Fog computing paradigm utilises distributed, heterogeneous and resource-constrained devices at the edge of network for efficient deployment latency-critical bandwidth-hungry IoT application services. Moreover, MicroService Architecture (MSA) is increasingly adopted to keep up with rapid development needs fast-evolving applications. Due fine-grained modularity microservices their independently deployable scalable nature, MSA exhibits great potential in harnessing Cloud resources, thus giving rise novel paradigms like Osmotic computing. loosely coupled nature microservices, aided by container orchestrators service mesh technologies, enables dynamic composition distributed achieve diverse performance requirements applications using resources. To this end, placement microservice plays a vital role, algorithms are required utilise said characteristics while overcoming challenges introduced architecture. Thus, we present comprehensive taxonomy recent literature on microservices-based within environments. Furthermore, organise multiple taxonomies capture main aspects problem, analyse classify related works, identify research gaps each category, discuss future directions.
Language: Английский
Citations
51
Transactions on Emerging Telecommunications Technologies, Journal Year: 2024, Volume and Issue: 35(6)
Published: May 21, 2024
Abstract Nature‐inspired algorithms revolve around the intersection of nature‐inspired and IoT within healthcare domain. This domain addresses emerging trends potential synergies between computational approaches technologies for advancing services. Our research aims to fill gaps in addressing algorithmic integration challenges, real‐world implementation issues, efficacy IoT‐based healthcare. We provide insights into practical aspects limitations such applications through a systematic literature review. Specifically, we address need comprehensive understanding healthcare, identifying as lack standardized evaluation metrics studies on challenges security considerations. By bridging these gaps, our paper offers directions future this domain, exploring diverse landscape chosen methodology is Systematic Literature Review (SLR) investigate related papers rigorously. Categorizing groups genetic algorithms, particle swarm optimization, cuckoo ant colony other approaches, hybrid methods, employ meticulous classification based critical criteria. MATLAB emerges predominant programming language, constituting 37.9% cases, showcasing prevalent choice among researchers. emphasizes adaptability paramount parameter, accounting 18.4% shedding light attributes, limitations, development, review contribute dynamic
Language: Английский
Citations
37
Energy Reports, Journal Year: 2024, Volume and Issue: 11, P. 5436 - 5455
Published: May 21, 2024
The energy management (EM) solution of the microgrids (MGs) is a crucial task to attain most economic, reliable and sustainable operation state MGs. This paper aims solve optimal scheduling stochastic EM problem smart MG without with demand side response (DSR) including MT, FC, PV, WT, battery storage system (BSS). A study case in Wenzhou city China conducted reduce cost maximize utilization renewable energy. uncertainties like loading, temperature, solar irradiance wind speed are considered which were obtained from real meteorological data. normal, lognormal, Weibull PDFs as well Monte-Carlo RBS methods used for uncertainty modelling. modified artificial rabbit optimization (MARO) proposed based on three strategies fitness-distance balance, exploitation mechanism PDO quasi-opposite-based learning (QOBL) boost exploration phases traditional ARO. statistical non-parametric tests applied via benchmark functions validate performance MARO. As per results, MARO superior compared other techniques reduced 252.0721€ct/day 184.8435€ct/day saving 26.86 % considerably application DSR.
Language: Английский
Citations
17
Computer Networks, Journal Year: 2023, Volume and Issue: 224, P. 109603 - 109603
Published: Feb. 3, 2023
Language: Английский
Citations
31
Computing, Journal Year: 2023, Volume and Issue: 106(1), P. 109 - 137
Published: Aug. 26, 2023
Language: Английский
Citations
26
Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 9 - 31
Published: Jan. 1, 2024
Language: Английский
Citations
9
Ad Hoc Networks, Journal Year: 2025, Volume and Issue: unknown, P. 103751 - 103751
Published: Jan. 1, 2025
Language: Английский
Citations
1
Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 236, P. 121270 - 121270
Published: Aug. 22, 2023
Language: Английский
Citations
22