High Performance Parallel Computing with Cloud Technologies

Kannadasan, R.; Prabakaran, N.; Boominathan, P.; Krishnamoorthy, A.; Naresh, K.; Sivashanmugam, G.

doi:10.1016/j.procs.2018.05.004

Cited by 13 publications

(3 citation statements)

References 11 publications

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“…Kannadasan et al [30] 2018 Use cloud computing technologies to explain the performance of clouds Considers the Hadoop and MapReduce best technologies used to increase performance of cloud computing.…”

Section: Discussion and Assessmentmentioning

confidence: 99%

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Comparison Among Cloud Technologies and Cloud Performance

Alzakholi¹,

Haji²,

Shukur³

et al. 2020

JASTT

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The cloud is the best method used for the utilization and organization of data. The cloud provides many resources for us via the internet. There are many technologies used in cloud computing systems; each one uses a different kind of protocols and methods. Many tasks can execute on different servers per second, which cannot execute on their computer. The most popular technologies used in the cloud system are Hadoop, Dryad, and another map reducing framework. Also, there are many tools used to optimize the performance of the cloud system, such as Cap3, HEP, and Cloudburst. This paper reviews in detail the cloud computing system, its used technologies, and the best technologies used with it according to multiple factors and criteria such as the procedure cost, speed cons and pros. Moreover, A comprehensive comparison of the tools used for the utilization of cloud computing systems is presented.

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Section: Discussion and Assessmentmentioning

confidence: 99%

“…The private clouds can be protected in computation and storage to provide the resources all time [21], [29]. [30] done some of the experiments and researching on the several technologies of cloud computing. Explore the Hadoop is very useful for the Dryad and CGL MapReduce in most cases.…”

Section: E Cloud Burst Techniquementioning

confidence: 99%

Comparison Among Cloud Technologies and Cloud Performance

Alzakholi¹,

Haji²,

Shukur³

et al. 2020

JASTT

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“…As a quintessential technology in HPC, graphics processing units (GPUs) have attracted increasing attention from researchers owing to their potent parallel processing capabilities, high memory bandwidth, low power consumption, and excellent performance in handling computationally intensive problems [13]. Cloud computing can more effectively tackle these challenges by offering on-demand access to a shared pool of computing resources, allowing users to leverage the capabilities of distributed computing and storage without requiring substantial upfront investments in hardware and software infrastructure [16][17][18]. We employed the AI Earth cloud platform to develop an InSAR processing system, which integrated the platform's massive SAR remote sensing data and the advantages of cloud computing with our automated, high-performance InSAR processing algorithms [19], aiming at measuring surface deformation around glacial lakes efficiently.…”

Section: Introductionmentioning

confidence: 99%

Retrospective Analysis of Glacial Lake Outburst Flood (GLOF) Using AI Earth InSAR and Optical Images: A Case Study of South Lhonak Lake, Sikkim

Yu,

Li,

et al. 2024

Remote Sensing

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On 4 October 2023, a glacier lake outburst flood (GLOF) occurred at South Lhonak Lake in the northwest of Sikkim, India, posing a severe threat to downstream lives and property. Given the serious consequences of GLOFs, understanding their triggering factors is urgent. This paper conducts a comprehensive analysis of optical imagery and InSAR deformation results to study changes in the surrounding surface of the glacial lake before and after the GLOF event. To expedite the processing of massive InSAR data, an InSAR processing system based on the SBAS-InSAR data processing flow and the AI Earth cloud platform was developed. Sentinel-1 SAR images spanning from January 2021 to March 2024 were used to calculate surface deformation velocity. The evolution of the lake area and surface variations in the landslide area were observed using optical images. The results reveal a significant deformation area within the moraine encircling the lake before the GLOF, aligning with the area where the landslide ultimately occurred. Further research suggests a certain correlation between InSAR deformation results and multiple factors, such as rainfall, lake area, and slope. We speculate that heavy rainfall triggering landslides in the moraine may have contributed to breaching the moraine dam and causing the GLOF. Although the landslide region is relatively stable overall, the presence of a crack in the toparea of landslide raises concerns about potential secondary landslides. Our study may improve GLOF risk assessment and management, thereby mitigating or preventing their hazards.

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PRC6: Hybrid lightweight cipher for enhanced cloud data security in parallel environment

Mohammed,

Hussein

2024

Security and Privacy

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Modern technologies of computing cloud are showing great promise, but at the same time create new security challenges that hinder full acceptance. Given that most of these services often use cloud networks as channels for communication, securing data transmission is crucial. This paper introduce a new hybrid encryption algorithm, the proposed two‐layered PRC6 cipher, tailored address security concerns in cloud computing environments with minimal resource constraints. The PRC6 cipher incorporates enhancements from Cha‐cha into an extension of the RC6 cipher. PRC6 implements double encryption. At the first level, the plain text is divided into four equal parts, each encrypted by processes derived from RC6, which include shifting, summation, modulo arithmetic, and XOR with a generated key. The second level incorporates a Quarter round function, among others, to further obscure the encoded message. PRC6 is implemented in a parallel computing model to significantly reduce overall computation time, especially important for lightweight applications. Experimental results show that the algorithm can achieve a high level of security for cloud workloads. It activates parallel mode in just seven encryption rounds, cutting calculation time to 50% in a matter of seconds. Performance evaluations against popular encryption standards also indicate that PRC6 offers promising security benefits when computational resources are limited. This hybrid approach presents a viable solution for strengthening data protection in modern cloud systems and it stand against the most popular attacks like brute force.

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High Performance Parallel Computing with Cloud Technologies

Cited by 13 publications

References 11 publications

Comparison Among Cloud Technologies and Cloud Performance

Comparison Among Cloud Technologies and Cloud Performance

Retrospective Analysis of Glacial Lake Outburst Flood (GLOF) Using AI Earth InSAR and Optical Images: A Case Study of South Lhonak Lake, Sikkim

PRC6: Hybrid lightweight cipher for enhanced cloud data security in parallel environment

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