Sustainable MapReduce: Optimizing Security and Efficiency in Hadoop Clusters with Lightweight Cryptography-based Key Management
The exponential growth of big data has led to a significant increase in the volume and complexity of data being generated and stored. This trend has created a huge demand for secure storage and processing of big data. Cryptography is a widely used technique for securing data, but traditional cryptog...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/49/e3sconf_icies2023_01065.pdf |
| _version_ | 1797737674045390848 |
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| author | Khadji Marwa Kholji Samira Bourekkadi Salmane Larbi kerkeb Mohamed |
| author_facet | Khadji Marwa Kholji Samira Bourekkadi Salmane Larbi kerkeb Mohamed |
| author_sort | Khadji Marwa |
| collection | DOAJ |
| description | The exponential growth of big data has led to a significant increase in the volume and complexity of data being generated and stored. This trend has created a huge demand for secure storage and processing of big data. Cryptography is a widely used technique for securing data, but traditional cryptography algorithms are often too resource-intensive for big data applications. To address this issue, light weight cryptography algorithms have been developed that are optimized for low computational overhead and low memory utilization. This research paper explores the use of a new sustainable algorithm that utilizes a lightweight cryptographybased key management scheme to optimize MapReduce security and computational efficiency in Hadoop clusters. The proposed sustainable MapReduce algorithm aims to reduce memory and CPU allocation, thereby significantly reducing the energy consumption of Hadoop clusters. The paper emphasizes the importance of reducing energy consumption and enhancing environmental sustainability in big data processing and highlights the potential benefits of using sustainable lightweight cryptography algorithms in achieving these goals. Through rigorous testing and evaluation, the paper demonstrates the effectiveness of the proposed sustainable MapReduce algorithm in improving the energy efficiency and computational performance of Hadoop clusters, making it a promising solution for sustainable big data processing. |
| first_indexed | 2024-03-12T13:32:47Z |
| format | Article |
| id | doaj.art-d65e9d328f944542ac2ff8c7303f309a |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-12T13:32:47Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-d65e9d328f944542ac2ff8c7303f309a2023-08-24T08:21:06ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014120106510.1051/e3sconf/202341201065e3sconf_icies2023_01065Sustainable MapReduce: Optimizing Security and Efficiency in Hadoop Clusters with Lightweight Cryptography-based Key ManagementKhadji Marwa0Kholji Samira1Bourekkadi Salmane2Larbi kerkeb Mohamed3Abdelmalek Essaadi UniversityAbdelmalek Essaadi UniversityIbn Tofail UniversityIbn Tofail UniversityThe exponential growth of big data has led to a significant increase in the volume and complexity of data being generated and stored. This trend has created a huge demand for secure storage and processing of big data. Cryptography is a widely used technique for securing data, but traditional cryptography algorithms are often too resource-intensive for big data applications. To address this issue, light weight cryptography algorithms have been developed that are optimized for low computational overhead and low memory utilization. This research paper explores the use of a new sustainable algorithm that utilizes a lightweight cryptographybased key management scheme to optimize MapReduce security and computational efficiency in Hadoop clusters. The proposed sustainable MapReduce algorithm aims to reduce memory and CPU allocation, thereby significantly reducing the energy consumption of Hadoop clusters. The paper emphasizes the importance of reducing energy consumption and enhancing environmental sustainability in big data processing and highlights the potential benefits of using sustainable lightweight cryptography algorithms in achieving these goals. Through rigorous testing and evaluation, the paper demonstrates the effectiveness of the proposed sustainable MapReduce algorithm in improving the energy efficiency and computational performance of Hadoop clusters, making it a promising solution for sustainable big data processing.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/49/e3sconf_icies2023_01065.pdfbig datahadoopdata securitysustainable mapreduceenergy consumptionlightweight cryptography algorithmsenvironmental sustainability |
| spellingShingle | Khadji Marwa Kholji Samira Bourekkadi Salmane Larbi kerkeb Mohamed Sustainable MapReduce: Optimizing Security and Efficiency in Hadoop Clusters with Lightweight Cryptography-based Key Management E3S Web of Conferences big data hadoop data security sustainable mapreduce energy consumption lightweight cryptography algorithms environmental sustainability |
| title | Sustainable MapReduce: Optimizing Security and Efficiency in Hadoop Clusters with Lightweight Cryptography-based Key Management |
| title_full | Sustainable MapReduce: Optimizing Security and Efficiency in Hadoop Clusters with Lightweight Cryptography-based Key Management |
| title_fullStr | Sustainable MapReduce: Optimizing Security and Efficiency in Hadoop Clusters with Lightweight Cryptography-based Key Management |
| title_full_unstemmed | Sustainable MapReduce: Optimizing Security and Efficiency in Hadoop Clusters with Lightweight Cryptography-based Key Management |
| title_short | Sustainable MapReduce: Optimizing Security and Efficiency in Hadoop Clusters with Lightweight Cryptography-based Key Management |
| title_sort | sustainable mapreduce optimizing security and efficiency in hadoop clusters with lightweight cryptography based key management |
| topic | big data hadoop data security sustainable mapreduce energy consumption lightweight cryptography algorithms environmental sustainability |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/49/e3sconf_icies2023_01065.pdf |
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