From the edge to the cloud: A continuous delivery and preparation model for processing big IoT data

Sánchez‐Gallegos, Dante D.; Carrizales-Espinoza, Diana; Reyes-Anastacio, Hugo G.; Gonzalez-Compeán, J. L.; Carretero, Jesús; Morales-Sandoval, Miguel; Galaviz-Mosqueda, Alejandro

doi:10.1016/j.simpat.2020.102136

Cited by 19 publications

(8 citation statements)

References 54 publications

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“…Then, according to the ISO 31000 standard (www.iso.org/iso-31000-risk-management.html) accessed on 5 August 2021 for risk management [37], the values of UF are discretized in scales: low ∈ [0, 0.33), medium ∈ [0.33, 0.66) and high ∈ [0.66, 1]. These thresholds indicate the level of performance (_lvl) of each resource r i , as indicates Equation (14).…”

Section: Behaviormentioning

confidence: 99%

“…In these types of infrastructures (any combination of edge, fog, or cloud), the virtual containers (

) are key to deploy services on each infrastructure [ 11 , 12 , 13 ]. These services provide dataflows from the IoT to the cloud that produce different types of data and information, which proves to be key for organizations to conduct critical decision-making processes [ 14 , 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

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A WoT-Based Method for Creating Digital Sentinel Twins of IoT Devices

López-Arévalo

Gonzalez-Compeán

Hinojosa-Tijerina

et al. 2021

Sensors

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The data produced by sensors of IoT devices are becoming keystones for organizations to conduct critical decision-making processes. However, delivering information to these processes in real-time represents two challenges for the organizations: the first one is achieving a constant dataflow from IoT to the cloud and the second one is enabling decision-making processes to retrieve data from dataflows in real-time. This paper presents a cloud-based Web of Things method for creating digital twins of IoT devices (named sentinels).The novelty of the proposed approach is that sentinels create an abstract window for decision-making processes to: (a) find data (e.g., properties, events, and data from sensors of IoT devices) or (b) invoke functions (e.g., actions and tasks) from physical devices (PD), as well as from virtual devices (VD). In this approach, the applications and services of decision-making processes deal with sentinels instead of managing complex details associated with the PDs, VDs, and cloud computing infrastructures. A prototype based on the proposed method was implemented to conduct a case study based on a blockchain system for verifying contract violation in sensors used in product transportation logistics. The evaluation showed the effectiveness of sentinels enabling organizations to attain data from IoT sensors and the dataflows used by decision-making processes to convert these data into useful information.

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Section: Behaviormentioning

confidence: 99%

“…In these types of infrastructures (any combination of edge, fog, or cloud), the virtual containers (

Section: Introductionmentioning

confidence: 99%

A WoT-Based Method for Creating Digital Sentinel Twins of IoT Devices

López-Arévalo

Gonzalez-Compeán

Hinojosa-Tijerina

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…End-to-end solutions have been widely studied and developed to prepare data by adding non-functional requirements for mitigating risk just before sending them to different environments such as the cloud or the fog [19], [33]- [36], as data have to be moved between different infrastructures, to prevent confidentiality violation, content alteration and repudiation of events by omissions and unavailability of data or resources in environments (at any of the edge, fog or cloud).…”

Section: Related Workmentioning

confidence: 99%

A Federated Content Distribution System to Build Health Data Synchronization Services

Carrizales-Espinoza

Sánchez‐Gallegos

Gonzalez-Compeán

et al. 2021

2021 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)

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In organizational environments, such as in hospitals, data have to be processed, preserved, and shared with other organizations in a cost-efficient manner. Moreover, organizations have to accomplish different mandatory non-functional requirements imposed by the laws, protocols, and norms of each country. In this context, this paper presents a Federated Content Distribution System to build infrastructure-agnostic health data synchronization services. In this federation, each hospital manages local and federated services based on a pub/sub model. The local services manage users and contents (i.e., medical imagery) inside the hospital, whereas federated services allow the cooperation of different hospitals sharing resources and data. Data preparation schemes were implemented to add non-functional requirements to data. Moreover, data published in the content distribution system are automatically synchronized to all users subscribed to the catalog where the content was published.

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“…The network layer processes the received data and transmits the collected data towards the upstreams nodes. The data can be further processed at the high-end layer and disclose to derive useful knowledge for various smart services ( Sánchez-Gallegos et al, 2020 ; Gheisari, Wang & Chen, 2020 ; Wang et al, 2020b ). To sum up, no matter how diverse the CPS application is, follow these five necessary steps: 1) Sense; 2) Transmit; 3) Store; 4) Analyze; 5) Act ( Tao et al, 2020 ; Tianxing et al, 2020 ; Rahman et al, 2019a ).…”

Section: Igtdc: Trustworthy Data Collection Frameworkmentioning

confidence: 99%

In-network generalized trustworthy data collection for event detection in cyber-physical systems

Rahman

Wang

Bhuiyan

et al. 2021

PeerJ Computer Science

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Sensors in Cyber-Physical Systems (CPS) are typically used to collect various aspects of the region of interest and transmit the data towards upstream nodes for further processing. However, data collection in CPS is often unreliable due to severe resource constraints (e.g., bandwidth and energy), environmental impacts (e.g., equipment faults and noises), and security concerns. Besides, detecting an event through the aggregation in CPS can be intricate and untrustworthy if the sensor's data is not validated during data acquisition, before transmission, and before aggregation. This paper introduces In-network Generalized Trustworthy Data Collection (IGTDC) framework for event detection in CPS. This framework facilitates reliable data for aggregation at the edge of CPS. The main idea of IGTDC is to enable a sensor's module to examine locally whether the event's acquired data is trustworthy before transmitting towards the upstream nodes. It further validates whether the received data can be trusted or not before data aggregation at the sink node. Additionally, IGTDC helps to identify faulty sensors. For reliable event detection, we use collaborative IoT tactics, gate-level modeling with Verilog User Defined Primitive (UDP), and Programmable Logic Device (PLD) to ensure that the event's acquired data is reliable before transmitting towards the upstream nodes. We employ Gray code in gate-level modeling. It helps to ensure that the received data is reliable. Gray code also helps to distinguish a faulty sensor. Through simulation and extensive performance analysis, we demonstrate that the collected data in the IGTDC framework is reliable and can be used in the majority of CPS applications.

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From the edge to the cloud: A continuous delivery and preparation model for processing big IoT data

Cited by 19 publications

References 54 publications

A WoT-Based Method for Creating Digital Sentinel Twins of IoT Devices

A WoT-Based Method for Creating Digital Sentinel Twins of IoT Devices

A Federated Content Distribution System to Build Health Data Synchronization Services

In-network generalized trustworthy data collection for event detection in cyber-physical systems

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