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Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions [article]

Mohammad Goudarzi, Marimuthu Palaniswami, Rajkumar Buyya
2022 arXiv   pre-print
Fog computing, as a distributed paradigm, offers cloud-like services at the edge of the network with low latency and high-access bandwidth to support a diverse range of IoT application scenarios.  ...  To fully utilize the potential of this computing paradigm, scalable, adaptive, and accurate scheduling mechanisms and algorithms are required to efficiently capture the dynamics and requirements of users  ...  Also, in meta-heuristics techniques, the majority of works used population-based meta-heuristics, especially different variations of the GA.  ... 
arXiv:2204.12580v1 fatcat:ctcbm6r3yjadbo6cf7i7imshsu

New development thoughts on the bio-inspired intelligence based control for unmanned combat aerial vehicle

HaiBin Duan, Shan Shao, BingWei Su, Lei Zhang
2010 Science China Technological Sciences  
Meta-heuristic inspired heterogeneous cooperative control for multiple UCAVs and UCGVs Meta-heuristic intelligence mainly refers to a class of general heuristic methods for solving a very general class  ...  guidance for multiple UCAVs and UCGVs; (3) Meta-heuristic inspired heterogeneous pursuit-evasion techniques for multiple UCAVs and UCGVs; (4) Meta-heuristic inspired heterogeneous task link techniques  ... 
doi:10.1007/s11431-010-3160-z fatcat:km7txrofhrcw5mmdafw5e4dci4

Description of Structural Biases and Associated Data in Sensor-Rich Environments [article]

Massinissa Hamidi, Aomar Osmani
2021 arXiv   pre-print
We illustrate our approach on the SHL dataset which provides motion sensor data for a list of human activities collected under real conditions.  ...  Whether it is a bias related to sensor measurement, transmission protocol, sensor deployment topology, heterogeneity, dynamicity, or stochastic effects, it is important to understand their substantial  ...  Heterogeneity of deployments. Another problem is related to the lack of interoperability among different sensor deployments.  ... 
arXiv:2104.04885v1 fatcat:prsovhtx45emriyggcuu3blb6m

Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey

Bin Qian, Jie Su, Zhenyu Wen, Devki Nandan Jha, Yinhao Li, Yu Guan, Deepak Puthal, Philip James, Renyu Yang, Albert Y. Zomaya, Omer Rana, Lizhe Wang (+2 others)
2020 ACM Computing Surveys  
A report 1 shows that about 75.44 billion IoT devices will be connected to the Internet by 2025. These devices generate a massive amount of data with various modalities.  ...  Next, the model deployment considers the difficulty of * Zhenyu is the corresponding author Fig. 3. A taxonomy for orchestrating ML-based IoT application development lifecycle simulated environment.  ...  The heuristic-based iterative methods are also very common, but we categorize this type of algorithms into the meta-heuristic based method.  ... 
doi:10.1145/3398020 fatcat:zzgfcjxjxbhnhf53dmlo63rs3i

Probabilistic QoS-aware Placement of VNF chains at the Edge [article]

Stefano Forti, Federica Paganelli, Antonio Brogi
2021 arXiv   pre-print
Deploying IoT-enabled Virtual Network Function (VNF) chains to Cloud-Edge infrastructures requires determining a placement for each VNF that satisfies all set deployment requirements as well as a software-defined  ...  EdgeUsher can determine all eligible placements for a set of VNF chains to a Cloud-Edge infrastructure so to satisfy all of their hardware, IoT, security, bandwidth, and latency requirements.  ...  the project "GIÒ: a Fog computing testbed for research & education", funded by the Department of Computer Science of the University of Pisa, Italy.  ... 
arXiv:1906.00197v2 fatcat:l534uh3ebbbsfaa6el65dptbmi

Computational models and heuristic methods for Grid scheduling problems

Fatos Xhafa, Ajith Abraham
2010 Future generations computer systems  
In this paper we survey computational models for Grid scheduling problems and their resolution using heuristic and meta-heuristic approaches.  ...  approaches for the design of efficient Grid schedulers.  ...  His research is supported by a grant from the General Secretariat of Universities of the Ministry of Education, Spain.  ... 
doi:10.1016/j.future.2009.11.005 fatcat:43ijgsgrpfch5look5p4qmq4w4

HEF Clustering for Secure and Efficient Data Transmission in CWSN

Kesia Salimon, R.Lavanya R.Lavanya, B.Mathivanan B.Mathivanan
2015 International Journal of Computer Applications  
On the other hand, with indirect observation trust value is obtained from neighbor nodes of the observer node. The trust value for this methodology is based on Dempster-Shafer theory.  ...  Combining these 2 trust models, we tend to get a lot of correct trust values that results the effectiveness of our methodology.  ...  Figure 1 shows the random deployment of device nodes.  ... 
doi:10.5120/20323-2416 fatcat:mrfi3ww5pvgixaowg4uquis3we

From missions to systems

Barry Porter, Alan Dearle, Simon Dobson
2012 Proceedings of the 7th International Workshop on Middleware Tools, Services and Run-Time Support for Sensor Networks - MidSens '12  
Early Wireless Sensor Networks aimed simply to collect as much data as possible for as long as possible.  ...  While this remains true in selected cases, the majority of future sensor network applications will demand much more intelligent use of their resources as networks increase in scale and support multiple  ...  For the purposes of this paper we simply assume that a mixture of heuristics and historical data will provide su cient guidance for an initial 'rough' deployment plan.  ... 
doi:10.1145/2405167.2405169 dblp:conf/middleware/PorterDD12 fatcat:zyxrfwauyjagroeyyai7rf3v3i

Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey [article]

Bin Qian, Jie Su, Zhenyu Wen, Devki Nandan Jha, Yinhao Li, Yu Guan, Deepak Puthal, Philip James, Renyu Yang, Albert Y. Zomaya, Omer Rana, Lizhe Wang (+2 others)
2020 arXiv   pre-print
Machine Learning (ML) and Internet of Things (IoT) are complementary advances: ML techniques unlock complete potentials of IoT with intelligence, and IoT applications increasingly feed data collected by  ...  This paper provides a comprehensive and systematic survey on the development lifecycle of ML-based IoT application.  ...  Then, the meta-heuristic algorithms are used to find the solutions.  ... 
arXiv:1910.05433v5 fatcat:ffvjipmylve6feuzdbav2syxfu

CLOUD COMPUTING AND INTERNET OF THINGS FOR SMART CITY DEPLOYMENTS

GEORGE SUCIU, ALEXANDRU VULPE, GYORGY TODORAN, JANNA CROPOTOVA, VICTOR SUCIU
2013 Challenges of the Knowledge Society  
At the same time, the IoT concept envisions a new generation of devices (sensors, both virtual and physical) that are connected to the Internet and provide different services for value-added applications  ...  We demonstrate that data gathered from heterogeneous and distributed IoT devices can be automatically managed, handled and reused with decentralized cloud services.  ...  Correspondingly, the IoT paradigm 2 relies on the integration of a large number of heterogeneous devices, which are connected to the internet via different networking protocols.  ... 
doaj:579c9f8cf75143dfab831e5b272cd13a fatcat:32yq55oiabggzk22rpkp77y5la

Service Placement in Fog Computing Using Constraint Programming

Farah Ait Salaht, Frederic Desprez, Adrien Lebre, Charles Prud'homme, Mohamed Abderrahim
2019 2019 IEEE International Conference on Services Computing (SCC)  
To the best of our knowledge, our study is the first one to evaluate the relevance of CP approaches in comparison to heuristic ones in this context.  ...  This paper investigates whether the use of Constraint Programming (CP) could enable the development of a generic and easy-to-upgrade placement service for Fog Computing.  ...  See http://beyondtheclouds.github.io for more information.  ... 
doi:10.1109/scc.2019.00017 dblp:conf/IEEEscc/Ait-SalahtDLP019 fatcat:m2jmpxuesnabdlel4gexn462kq

Parallel Metaheuristics Applications [chapter]

Teodor Gabriel Crainic, Nourredine Hail
2005 Parallel Metaheuristics  
The reader may consult a number of surveys, taxonomies, and syntheses of parallel meta-heuristics, of which quite a few address the "classical" meta-heuristics, Simulated Annealing, Genetic Algorithms,  ...  We have also restricted to a minimum the presentation of general parallel computation issues as well as that of the parallel meta-heuristic strategies.  ...  Acknowledgments Funding for this project has been provided by the Natural Sciences and Engineering Council of Canada, and by the Fonds FQRNT of the Province of Québec.  ... 
doi:10.1002/0471739383.ch19 fatcat:junbparoinckhfulturvyqvuxu

Electrical Energy Management Based on a Hybrid Artificial Neural Network-Particle Swarm Optimization-Integrated Two-Stage Non-Intrusive Load Monitoring Process in Smart Homes

Yu-Hsiu Lin, Yu-Chen Hu
2018 Processes  
As a result, PSO is conducted and used to incorporate meta-heuristics with ANN considering the three principal design factors relating to an ANN design.  ...  Also, a novel hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO)-integrated NILM approach is proposed and used to model and identify electrical appliances for DSM in the HEMS.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/pr6120236 fatcat:xmlaz33vzjcjnnh5oulfjtqovm

An architecture-driven software mobility framework

Sam Malek, George Edwards, Yuriy Brun, Hossein Tajalli, Joshua Garcia, Ivo Krka, Nenad Medvidovic, Marija Mikic-Rakic, Gaurav S. Sukhatme
2010 Journal of Systems and Software  
In this paper, we present an integrated architecture-driven framework for modeling, analysis, implementation, deployment, and run-time migration of software systems executing on distributed, mobile, heterogeneous  ...  This experience has verified our envisioned benefits of the approach, and has helped us to identify several avenues of future work.  ...  Acknowledgements This work is partially funded by: contract W9132V-07-C-0006 with US Army Geospatial Center; NSF grants 0820060, 0820170, 0312780, and 0120778 (as part of the Center for Embedded Network  ... 
doi:10.1016/j.jss.2009.11.003 fatcat:iv4wk6l5bvaexebfomu3xcqeka

A novel communication paradigm for high capacity and security via programmable indoor wireless environments in next generation wireless systems

Christos Liaskos, Shuai Nie, Ageliki Tsioliaridou, Andreas Pitsillides, Sotiris Ioannidis, Ian Akyildiz
2019 Ad hoc networks  
A central server calculates and deploys the optimal electromagnetic interaction per tile, to the benefit of communicating devices.  ...  Realistic simulations using full 3D ray-tracing demonstrate the groundbreaking performance and security potential of the proposed approach in 2.4 GHz and 60 GHz frequencies.  ...  Device-oriented methods include massive MIMO deployments in communicating devices, to make constructive use of the multi-path phenomena [3] .  ... 
doi:10.1016/j.adhoc.2018.11.001 fatcat:okj2k7cozvfjphl7gkle4rf32q
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