Deployment and Analysis of a Hybrid Shared/Distributed-Memory Parallel Visualization Tool for 3-D Oil Reservoir Grid on OpenStack Cloud Computing

El-Moursy, Ali A.; Sibai, Fadi N.; Khaled, Hanan; Nassar, Salwa M.; Taher, Mohamed

doi:10.1109/access.2020.3037731

Cited by 3 publications

(5 citation statements)

References 36 publications

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“…File-level deduplication and block-level deduplication are the two main types of deduplication techniques proposed by El-Moursy et al [3]. Using a hash value computed for the file, the file-level technique ensures that a file with the same hash value is only kept if every bit of it matches the original file.…”

Section: Memory Managementmentioning

confidence: 99%

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Efficient Memory Handling Model with Consistent Video Frame Duplication Removal with Precise Compression

Sameerunnisa,

Jabez

2023

RIA

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Massive amounts of videos are being made and shared online as mobile devices and social networks gain popularity in recent years. The enormous expansion in the amount of video data created has made storing and quickly searching it all quite difficult. Because many movies are duplicates or near-duplicates in practice, recognizing these copies has become a critical strategy for decreasing the amount of storage with duplicate removal models. Video compression is an important part of Internet video delivery for efficient memory management. Deep learning's growth has sparked a revival in video compression, with many frameworks offering comparable or even higher performance than traditional video codecs presented in recent years. Despite the advancement in rate-distortion, these models are substantially slower and need more memory, limiting their practical application. The exponentially increasing volume of video data created has presented enormous problems to video deduplication technologies. People are interested in uploading and sharing information in photo and video formats in this digital era. This expansion has resulted in increased storage capacity, which contains a large amount of redundant multimedia material. Many deduplication algorithms are being rapidly developed nowadays, although they are often slow and have rather imprecise identification processes. Deduplication is one of the emerging ways for coping with redundant data stored in several locations. When more than a copy of the same data is detected, a single copy is preserved, and the other data is replaced by pointers pointing to the preserved copy and also duplicate frames will be removed by segmenting the video for memory efficiency. Storage can be utilised to effectively store a large amount of other data. While there are many other types of deduplication algorithms, picture and video deduplication strategies and implementations receive a lot of attention since they are difficult to implement. In this research a Consistent Video Frame Duplication Removal with Precise Compression (CVFDR-PC) model for efficient memory handling is proposed. This research provides a versatile and efficient video frame deduplication framework with compression model that effectively handles the memory. The proposed model when contrasted with the existing methods exhibit better performance levels.

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Section: Memory Managementmentioning

confidence: 99%

“…These videos tags don't do anything to monitor the content or stop copyright violations. Such infractions have been found using watermarking and material copy detection methods [3]. The watermarking method looks for a specific mark in a movie to determine whether it is copyrighted [4].…”

Section: Introductionmentioning

confidence: 99%

Efficient Memory Handling Model with Consistent Video Frame Duplication Removal with Precise Compression

Sameerunnisa,

Jabez

2023

RIA

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“…[1], [5], [8], [9], [15], [17], [18], [27], [28], [31], [37], [38], [39], [40], [44], [50], [56], [ Integration complexity 27 23 [5], [6], [17], [18], [32], [56], [58], [60], [65], [66] [16], [17], [25], [26], [30], [39], [41], [47], [48], [61], [66], [69], [80], [85] Task scheduling and execution 13 11 [4], [10], [22], [29], [36], [49], [51], [52] Step 1: decomposition of a complex-decision problem into a simple hierarchical structure.…”

Section: Application Of Ahpmentioning

confidence: 99%

“…In this day and age, educational institutions are even using private clouds to improve the student experience [3]. Cloud computing acquires some of the features of cluster computing, distributed computing, and grid computing but still has its unique features [4,5]. "Users of a cloud service only use the volume of IT resources they need, and only pay for the volume of IT resources they use" [6].…”

Section: Introductionmentioning

confidence: 99%

Challenges and Their Practices in Adoption of Hybrid Cloud Computing: An Analytical Hierarchy Approach

Khan

Ullah

et al. 2021

Security and Communication Networks

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Cloud computing adoption provides various advantages for companies. In particular, hybrid cloud shares the advantages of both the public and private cloud technologies because it combines the private in-house cloud with the public on-demand cloud. In order to obtain benefits from the opportunities provided by the hybrid cloud, organizations want to adopt or develop novel capabilities. Maturity models have proved to be an exceptional and easily available method for evaluating and improving capabilities. However, there is a dire need for a robust framework that helps client organizations in the adoption and assessment of hybrid cloud. Therefore, this research paper aims to present a taxonomy of the challenging factors faced by client organizations in the adoption of hybrid cloud. Typically, such a taxonomy is presented on the basis of obtained results from the empirical analysis with the execution of analytical hierarchy process (AHP) method. From the review of literature and empirical study, in total 13 challenging factors are recognized and plotted into four groups: “Lack of Inclination,” “Lack of Readiness,” “Lack of Adoption,” and “Lack of Satisfaction.” The AHP technique is executed to prioritize the identified factors and their groups. By this way, we found that “Lack of Adoption” and “Lack of Satisfaction” are the most significant groups from the identified challenging factors. Findings from AHP also show that “public cloud security concern” and “achieving QoS” are the upper ranking factors confronted in the adoption of hybrid cloud mechanism by client organizations because their global weight (0.201) is greater than those of all the other reported challenging factors. We also found out 46 practices to address the identified challenges. The taxonomy developed in this study offers a comprehensive structure for dealing with hybrid cloud computing issues, which is essential for the success and advancement of client and vendor organizations in hybrid cloud computing relationships.

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“…On the one hand, these properties reflect the dynamics of the reservoir, providing us with a detailed information about it. On the other hand, they could jointly affect oil recovery [9][10]. The processes of land uplift and subsidence brought on by oil exploration and production typically happen gradually, undetected by the local populace until the effects become severe enough [11].…”

Section: Introductionmentioning

confidence: 99%

Inversion of Reservoir Parameters for Oil Extraction Based on Deformation Monitoring With InSAR

Ma,

Zhang,

Chen

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Frequent water injection and oil extraction can potentially lead to changes in reservoir pressure, burst or collapse of casings, and corresponding variations on the ground surface. Attention should be focused on developing the strategies to monitor and mitigate the adverse consequences of oilfield operations. Here, Distributed Scatterer InSAR (DS-InSAR) technique is applied to estimate the surface deformation of Daqing oil field with the surveillance period from 2015 to 2019. Furthermore, Bayesian method with three models, including Mogi, prolate spheroid and Okada, are implemented to obtain parameters related to underground cavities, using cumulative deformation recorded between Jun-Dec 2015 and May-Dec 2016 as input. Inversion validation measurements were carried out by comparing the results with field data in the area of interest. Our findings demonstrate that, in comparison to other models, the prolate spheroid could recover both reservoir pressure and surface deformation, offering compelling evidence in favor of mitigating shear failure-related issues. A dual-source prolate spheroid model is also used to simulate large-scale deformation on the surface of oilfield. Its characteristics are nearly in line with variations in reservoir pressure and casing depth, which may minimize the negative consequences of casing failures and guarantee the stability of oil production.

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Deployment and Analysis of a Hybrid Shared/Distributed-Memory Parallel Visualization Tool for 3-D Oil Reservoir Grid on OpenStack Cloud Computing

Cited by 3 publications

References 36 publications

Efficient Memory Handling Model with Consistent Video Frame Duplication Removal with Precise Compression

Efficient Memory Handling Model with Consistent Video Frame Duplication Removal with Precise Compression

Challenges and Their Practices in Adoption of Hybrid Cloud Computing: An Analytical Hierarchy Approach

Inversion of Reservoir Parameters for Oil Extraction Based on Deformation Monitoring With InSAR

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