Khorramshahr: A scalable peer to peer architecture for port warehouse management system

Goudarzi, Parisa; Malazi, Hadi Tabatabaee; Ahmadi, Mahmood

doi:10.1016/j.jnca.2016.09.015

Cited by 19 publications

(9 citation statements)

References 33 publications

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“…There are four studies dedicated to shipping, of which [ 94 , 95 ] are developments for assisting management; [ 97 ] provides navigation aids based on IoT; and [ 96 ] is an analysis of existing applications, which attempt to introduce them to this industrial sector. Of those on IoT applied to ports, two focus on improvements to port management as a main goal [ 98 , 99 ], whereas one includes analysis of IoT applications for ports [ 4 ].…”

Section: Analysis and Discussionmentioning

confidence: 99%

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Toward Digitalization of Maritime Transport?

Sanchez-Gonzalez

Díaz-Gutiérrez

Leo

et al. 2019

Sensors

124

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Although maritime transport is the backbone of world commerce, its digitalization lags significantly behind when we consider some basic facts. This work verifies the state-of-the-art as it currently applies to eight digital domains: Autonomous vehicles and robotics; artificial intelligence; big data; virtual reality, augmented and mixed reality; internet of things; the cloud and edge computing; digital security; and 3D printing and additive engineering. It also provides insight into each of the three sectors into which this industry has been divided: Ship design and shipbuilding; shipping; and ports. The work, based on a systematic literature review, demonstrates that there are domains on which almost no formal study has been done thus far and concludes that there are major areas that require attention in terms of research. It also illustrates the increasing interest on the subject, arising from the necessity of raising the maritime transport industry to the same level of digitalization as other industries.

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Section: Analysis and Discussionmentioning

confidence: 99%

“…Goudarzi et al [ 98 ] designed a system based on the IoT using RFIDs with the objective of better managing port warehouses. The main issues addressed were scalability, fault tolerance, and privacy.…”

Section: Digitalization On Maritime Transport: the Situation At Thmentioning

confidence: 99%

Toward Digitalization of Maritime Transport?

Sanchez-Gonzalez

Díaz-Gutiérrez

Leo

et al. 2019

Sensors

124

View full text Add to dashboard Cite

show abstract

“…The authors (Goudarzi, Tabatabaee Malazi & Ahmadi, 2016) presented the Khorramshahr architecture using IoT technology for inventory management based on Chord architecture. The main advantages of this study are scalability, fault tolerance, privacy, and improvement of the lookup process using BF and QF.…”

Section: Using Filters In Iot Applicationsmentioning

confidence: 99%

“…The proposed filter is implemented on the architecture presented in (Goudarzi, Tabatabaee Malazi & Ahmadi, 2016). The pieces of information read by IoT sensors and cameras are sent to the computers in the warehouse and stored in the database (DHT).…”

Section: System Descriptionmentioning

confidence: 99%

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An efficient filter with low memory usage for multimedia data of industrial Internet of Things

Goudarzi

Rahmani

2021

PeerJ Computer Science

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One of the essential concerns of Internet of Things (IoT) is in industrial systems or data architecture to support the evolutions in transportation and logistics. Considering the Industrial IoT (IIoT) openness, the need for accessibility, availability, and searching of data has rapidly increased. The primary purpose of this research is to propose an Efficient Two-Dimensional Filter (ETDF) to store multimedia data of IIoT applications in a specific format to achieve faster response and dynamic updating. This filter consists of a two-dimensional array and a hash function integrated into a cuckoo filter for efficient use of memory. This study evaluates the scalability of the filter by increasing the number of requests from 10,000 to 100,000. To assess the performance of the proposed filter, we measure the parameters of access time and lookup message latency. The results show that the proposed filter improves the access time by 12%, compared to a Fast Two-Dimensional Filter (FTDF). Moreover, it improves memory usage by 20% compared to FTDF. Experiments indicate a better access time of the proposed filter compared to other filters (i.e., Bloom, quotient, cuckoo, and FTD filters). Insertion and deletion times are essential parameters in comparing filters, so they are also analyzed.

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