Pattern Mining from big IoT Data with fog Computing: Models, Issues, and Research Perspectives

2019 ◽  
Author(s):  
Peter Braun ◽  
Alfredo Cuzzocrea ◽  
Carson K. Leung ◽  
Adam G. M. Pazdor ◽  
Joglas Souza ◽  
...  
Keyword(s):  
Pattern Mining ◽  
Fog Computing ◽  
Research Perspectives ◽  
Computing Models

Future Aspects and Research Perspectives of the Internet of Things

2021 ◽  
pp. 1-18
Author(s):  
Harshit Bhardwaj ◽  
Pradeep Tomar ◽  
Aditi Sakalle ◽  
Taranjeet Singh ◽  
Divya Acharya ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
The Internet ◽  
Literature Analysis ◽  
Healthcare Applications ◽  
Web Based ◽  
Iot Applications ◽  
Research Perspectives ◽  
Software Production ◽  
The Internet Of Things

Fog computing has latency, particularly for healthcare applications, which is of the utmost importance. This research aims to be a comprehensive literature analysis of healthcare innovations for fog computing. All of these components involved special abilities. In sequence, developers must be qualified to write stable, healthy IoT programs in four distinct fields of software production: embedded, server, tablet, and web-based. Furthermore, the distributed results, IoT structure essence, dispersed abilities in programming play a deciding position. This chapter discusses the difficulties in creating the IoT method and summarizing findings and observations. Experiences of the need for and co-presence of various kinds of skills in software creation in the construction of IoT applications are discussed.

scholarly journals Dynamic Task Scheduling using Balanced VM Allocation Policy for Fog Computing Platforms

2019 ◽  
Vol 20 (2) ◽  
pp. 433-456 ◽  
Author(s):  
Simar Preet Singh ◽  
Anand Nayyar ◽  
Harpreet Kaur ◽  
Ashu Singla
Keyword(s):  
Task Scheduling ◽  
Resource Selection ◽  
Virtual Machines ◽  
Fog Computing ◽  
Local Regression ◽  
Absolute Deviation ◽  
Allocation Policy ◽  
Dynamic Task ◽  
Scheduling Models ◽  
Computing Models

The fog computing models are getting popular as the demand and capacity of data processing is rising for the various applications every year. The fog computing models incorporate the various task scheduling algorithms for the resource selection among the given list of virtual machines (VMs). The task scheduling models are designed around the various task metrics, which include the task length (time), energy, processing cost etc. for the various purposes. The cost oriented scheduling models are primarily built for the customer's perspectives, and saves them a handful amount of money by efficiently assigning the resources for the tasks. In this paper, we have worked upon the multiple task scheduling models based upon the Local Regression (LR), Inter Quartile Range (IQR), Local Regression Robust (LRR), Non-Power Aware (NPA), Median Absolute Deviation (MAD), Dynamic Voltage and Frequency Scheduling (DVFS) and The Static Threshold (THR) methods using the ifogsim simulation designed with the 50 nodes and 50 virtual machines, i.e. 1 virtual machine per node. All of the models have been implemented using the standard input simulation parameters for the purpose of performance assessment in the various domains, specifically in the time domain and effective consumption of energy. The results obtained from the experiments have shown the overall time of 86,400 seconds during the simulation, where the DVFS has been recorded with the 52.98 kWh consumption of energy, which shows the efficient processing in comparison to the 150.68 kWh of energy consumption in the NPA model. Also, there are no SLA violations recorded during both of the simulation, because no VM migration model has been utilized among both of the implemented models, which clearly shows that the VM migrations are the major cause of SLA violation cases. The LRR (2520 VMs) has been observed as best contender on the basis of mean of number of VM migrations in comparison with LR (2555 VMs), THR (4769 VMs), MAD (5138 VMs) and IQR (5352 VMs).

scholarly journals Study QoS Optimization and Energy Saving Techniques in Cloud, Fog, Edge, and IoT

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-16 ◽  
Author(s):  
Zhiguo Qu ◽  
Yilin Wang ◽  
Le Sun ◽  
Dandan Peng ◽  
Zheng Li
Keyword(s):  
Cloud Computing ◽  
Energy Saving ◽  
Fog Computing ◽  
Edge Computing ◽  
Quality Of Services ◽  
Service Computing ◽  
Comprehensive Survey ◽  
Qos Optimization ◽  
Computing Models

With an increase of service users’ demands on high quality of services (QoS), more and more efficient service computing models are proposed. The development of cloud computing, fog computing, and edge computing brings a number of challenges, e.g., QoS optimization and energy saving. We do a comprehensive survey on QoS optimization and energy saving in cloud computing, fog computing, edge computing, and IoT environments. We summarize the main challenges and analyze corresponding solutions proposed by existing works. This survey aims to help readers have a deeper understanding on the concepts of different computing models and study the techniques of QoS optimization and energy saving in these models.

scholarly journals A Semantic Model for Interchangeable Microservices in Cloud Continuum Computing

Information ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 40
Author(s):  
Salman Taherizadeh ◽  
Dimitris Apostolou ◽  
Yiannis Verginadis ◽  
Marko Grobelnik ◽  
Gregoris Mentzas
Keyword(s):  
Fog Computing ◽  
Geographic Location ◽  
Dynamic Environments ◽  
Semantic Model ◽  
Data Interoperability ◽  
Proposed Model ◽  
Open Standards ◽  
Iot Devices ◽  
Cloud Applications ◽  
Computing Models

The rapid growth of new computing models that exploit the cloud continuum has a big impact on the adoption of microservices, especially in dynamic environments where the amount of workload varies over time or when Internet of Things (IoT) devices dynamically change their geographic location. In order to exploit the true potential of cloud continuum computing applications, it is essential to use a comprehensive set of various intricate technologies together. This complex blend of technologies currently raises data interoperability problems in such modern computing frameworks. Therefore, a semantic model is required to unambiguously specify notions of various concepts employed in cloud applications. The goal of the present paper is therefore twofold: (i) offering a new model, which allows an easier understanding of microservices within adaptive fog computing frameworks, and (ii) presenting the latest open standards and tools which are now widely used to implement each class defined in our proposed model.

Social Representations and Commitment

2018 ◽  
Vol 23 (3) ◽  
pp. 233-249 ◽  
Author(s):  
Eric Bonetto ◽  
Fabien Girandola ◽  
Grégory Lo Monaco
Keyword(s):  
Social Representations ◽  
Social Representation ◽  
Second Line ◽  
Review Of The Literature ◽  
First Line ◽  
Research Perspectives ◽  
The Social ◽  
Bibliographic Search ◽  
English Articles

Abstract. This contribution consists of a critical review of the literature about the articulation of two traditionally separated theoretical fields: social representations and commitment. Besides consulting various works and communications, a bibliographic search was carried out (between February and December, 2016) on various databases using the keywords “commitment” and “social representation,” in the singular and in the plural, in French and in English. Articles published in English or in French, that explicitly made reference to both terms, were included. The relations between commitment and social representations are approached according to two approaches or complementary lines. The first line follows the role of commitment in the representational dynamics: how can commitment transform the representations? This articulation gathers most of the work on the topic. The second line envisages the social representations as determinants of commitment procedures: how can these representations influence the effects of commitment procedures? This literature review will identify unexploited tracks, as well as research perspectives for both areas of research.

New theoretical and research perspectives in workplace mentoring

2010 ◽  
Author(s):  
William A. Gentry ◽  
John J. Sosik ◽  
Kathy E. Kram
Keyword(s):  
Research Perspectives ◽  
Workplace Mentoring

Cardiological Biopharmaceuticals in the Conception of Drug Targeting Delivery: Practical Results and Research Perspectives

Acta Naturae ◽  
2012 ◽  
Vol 4 (3) ◽  
pp. 72-81 ◽  
Author(s):  
A. V. Maksimenko
Keyword(s):  
Cell Adhesion Molecules ◽  
Drug Targeting ◽  
Interventional Procedures ◽  
Target Localization ◽  
Clinical Use ◽  
Protein Conjugates ◽  
Research Perspectives ◽  
Significant Interest ◽  
Targeting Delivery ◽  
Molecular Sizes

The results of the clinical use of thrombolytic and antithrombotic preparations developed on the basis of protein conjugates obtained within the framework of the conception of drug targeting delivery in the organism are considered. A decrease has been noted in the number of biomedical projects focused on these derivatives as a result of various factors: the significant depletion of financial and organizational funds, the saturation of the pharmaceutical market with preparations of this kind, and the appearance of original means for interventional procedures. Factors that actively facilitate the conspicuous potentiation of the efficacy of bioconjugates were revealed: the biomedical testing of protein domains and their selected combinations, the optimization of molecular sizes for the bioconjugates obtained, the density of target localization, the application of cell adhesion molecules as targets, and the application of connected enzyme activities. Enzyme antioxidants and the opportunity for further elaboration of the drug delivery conception via the elucidation and formation of therapeutic targets for effective drug reactions by means of pharmacological pre- and postconditioning of myocardium arouse significant interest.

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