Hybrid Client/Server Peer to Peer Multitier Video Streaming

Ibrahim, Ibrahim Mahmood; Zeebaree, Subhi R. M.; Yasin, Hajar Maseeh; Sadeeq, Mohammed A. M.; Shukur, Hanan M.; Alkhayyat, Ahmed

doi:10.1109/aca52198.2021.9626808

Cited by 3 publications

(2 citation statements)

References 28 publications

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“…In healthcare, IoT technologies enable remote monitoring and patient care. In agriculture, IoT assists in precision farming techniques, and in the industrial sector, IoT enhances efficiency through automation and predictive maintenance (Ibrahim et al, 2021;Jino Ramson et al, 2020).…”

Section: Internet Of Thingsmentioning

confidence: 99%

Navigating the Landscape of IoT, Distributed Cloud Computing: A Comprehensive Review

A. H. Alkurdi,

R. M. Zeebaree

2024

ACAD J NAWROZ UNIV

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This comprehensive academic exploration delves into the revolutionary convergence of the Internet of Things (IoT) with distributed cloud computing, redefining the realms of data processing, storage, and communication. The paper critically analyzes scholarly work from reputable journals, providing profound insights into this integration's multifaceted applications and underlying technological frameworks. The relevance of IoT, a network of interconnected devices and sensors, is emphasized through its significant impact on diverse sectors, including healthcare, education, agriculture, and smart cities. This impact is magnified by its extensive data collection, processing, and analysis capabilities, enabled through cloud computing platforms. The objective of the paper is to methodically compare and contrast contemporary scholarly contributions, shedding light on the diverse applications and technological infrastructures of IoT in conjunction with distributed cloud computing. This endeavor encompasses an examination of IoT-based cloud infrastructure, detailed analysis of specific needs, implementations, and applications of IoT-based cloud computing, and a review of various IoT cloud platforms. The paper also highlights the benefits of integrating IoT with cloud computing, elucidating significant advantages and potential future directions of this technology. Through this scholarly inquiry, the paper aims to offer an in-depth perspective on the state-of-the-art developments in IoT and distributed cloud computing. It underscores their significance and potential in shaping the future of digital technology and its applications across various domains.

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Section: Internet Of Thingsmentioning

confidence: 99%

Navigating the Landscape of IoT, Distributed Cloud Computing: A Comprehensive Review

A. H. Alkurdi,

R. M. Zeebaree

2024

ACAD J NAWROZ UNIV

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“…• This shift in responsibility will take effect immediately. Cloud storage provides users with a web service interface that enables them to have rapid access to a variety of resources and applications that are stored in the infrastructure of a different company [95].Using cloud storage, virtual machine images may be transferred between cloud and on-premises environments, or they can be imported from an on-premises environment into the cloud image library [96]. Alternatively, virtual machine pictures can be exported from the cloud to an on-premises environment.…”

Section: Architecture and Organization Of Cloud And Information Storagementioning

confidence: 99%

Document Clustering in the Age of Big Data: Incorporating Semantic Information for Improved Results

Haji¹,

Al-Zebari²,

Şengür³

et al. 2023

JASTT

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There has been a meteoric rise in the total amount of digital texts as a direct result of the proliferation of internet access. As a direct result of this, document clustering has evolved into a crucial method that must be used in order to successfully extract relevant information from big document collections. When employing the document clustering approach, documents are automatically sorted into groups whose members have a high degree of similarity to one another. These groups are created by applying the document clustering technique. Because they do not take into account the semantic linkages that exist between the texts, traditional clustering approaches are unable to provide an acceptable description of a collection of texts. This is because traditional clustering techniques. Document clusters, in which texts are ordered according to their meaning rather than their use of keywords, have been extensively utilized as a means of overcoming these challenges as a result of the incorporation of semantic information. This has been possible as a result of the fact that document clusters can group together related texts. In this investigation, we looked at a total of 27 distinct papers that were published over the previous five years and categorized the documents based on the semantic similarities that existed between the various pieces. A detailed literature evaluation is included to each and every one of the publications that were selected for further consideration. Comparative research is carried out on a wide variety of evaluation strategies, including as algorithms, similarity metrics, instruments, and processes. Following that, there is a drawn-out discussion that analyzes the similarities and differences between the activities.

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Design and implementation for a UAV-based streaming media system

Liu,

Jiang

2024

Ad Hoc Networks

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Hybrid Client/Server Peer to Peer Multitier Video Streaming

Cited by 3 publications

References 28 publications

Navigating the Landscape of IoT, Distributed Cloud Computing: A Comprehensive Review

Navigating the Landscape of IoT, Distributed Cloud Computing: A Comprehensive Review

Document Clustering in the Age of Big Data: Incorporating Semantic Information for Improved Results

Design and implementation for a UAV-based streaming media system

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