{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T20:54:55Z","timestamp":1771707295653,"version":"3.50.1"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Wireless Pers Commun"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1007\/s11277-023-10841-2","type":"journal-article","created":{"date-parts":[[2024,2,6]],"date-time":"2024-02-06T21:19:38Z","timestamp":1707254378000},"page":"1987-2002","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Simulative Analysis and Performance Evaluation for Data Variety Aware Power Optimization Technique Using Big Data"],"prefix":"10.1007","volume":"133","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4661-4764","authenticated-orcid":false,"given":"Raman","family":"Kumar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,2,6]]},"reference":[{"key":"10841_CR1","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1186\/s40537-021-00437-7","volume":"8","author":"H Ahmadvand","year":"2021","unstructured":"Ahmadvand, H., Foroutan, F., & Fathy, M. (2021). DV-DVFS: Merging data variety and DVFS technique to manage the energy consumption of big data processing. Journal of Big Data, 8, 45. https:\/\/doi.org\/10.1186\/s40537-021-00437-7","journal-title":"Journal of Big Data"},{"key":"10841_CR2","first-page":"246","volume":"144","author":"M Nejat","year":"2020","unstructured":"Nejat, M., Manivannam, M., & Perices, M. (2020). Perstenstrom, \u201cCoordinated management of DVFS and cache partitioning under QoS contraints to save energy in multi-core systems.\u201d Journal of Parallel Computing, 144, 246\u2013259.","journal-title":"Journal of Parallel Computing"},{"key":"10841_CR3","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1016\/j.future.2020.05.040","volume":"112","author":"HA Hassan","year":"2020","unstructured":"Hassan, H. A., Salem, S. A., & Saad, E. M. (2020). \u201dA smart energy and reliability aware scheduling algorithm for workflow execution in DVFS-enabled cloud environment. Future Generation Computer Systems, 112, 431\u2013448.","journal-title":"Future Generation Computer Systems"},{"key":"10841_CR4","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1186\/s40537-019-0185-4","volume":"6","author":"H Ahmadvand","year":"2019","unstructured":"Ahmadvand, H., Goudarzi, M., & Foroutan, F. (2019). Gapprox: Using Gallup approach for approximation in big data processing. J Big Data, 6, 20. https:\/\/doi.org\/10.1186\/s40537-019-0185-4","journal-title":"J Big Data"},{"key":"10841_CR5","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.future.2019.02.019","volume":"96","author":"GL Stavarindes","year":"2019","unstructured":"Stavarindes, G. L., & Karatza, H. D. (2019). An energy-efficient, Qos aware and cost-effective scheduling approach for real-time workflow applications in cloud computing systems utilizing DVFS and approximate computations. Future Generation Computer Systems, 96, 216\u2013226.","journal-title":"Future Generation Computer Systems"},{"key":"10841_CR6","doi-asserted-by":"publisher","first-page":"880","DOI":"10.1016\/j.future.2019.07.043","volume":"101","author":"Z Zhu","year":"2019","unstructured":"Zhu, Z., & Tang, X. (2019). Deadline constrained workflow scheduling in IaaS cloud with multi-resource packing. Future Generation Computer Systems, 101, 880\u2013893.","journal-title":"Future Generation Computer Systems"},{"key":"10841_CR7","first-page":"1","volume":"000","author":"J Guerreuro","year":"2018","unstructured":"Guerreuro, J., Ilic, A., Roma, N., & Tomas, P. (2018). DVFS-aware application classification to improve GPGPUs energy efficiency. Parallel Computing, 000, 1\u201325.","journal-title":"Parallel Computing"},{"key":"10841_CR8","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1016\/j.simpat.2018.07.006","volume":"87","author":"M Safari","year":"2018","unstructured":"Safari, M., & Khorsand, R. (2018). Energy aware scheduling algorithm for time constrained workflow tasks in DVFS-enabled cloud environment. Simulation Modelling Practice and Theory, 87, 311\u2013326.","journal-title":"Simulation Modelling Practice and Theory"},{"key":"10841_CR9","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.5043","volume":"31","author":"T Rauber","year":"2019","unstructured":"Rauber, T., & R\u00fcnger, G. (2019). A scheduling selection process for energy-efficient task execution on DVFS processors. Concurrency Computat Pract Exper., 31, e5043. https:\/\/doi.org\/10.1002\/cpe.5043","journal-title":"Concurrency Computat Pract Exper."},{"key":"10841_CR10","first-page":"191","volume":"10232","author":"Xu Shuting","year":"2017","unstructured":"Shuting, Xu., Wu, C. Q., Hou, A., Wang, Y., & Wang, M. (2017). \u201cEnergy efficient dynamic consolidation of virtual machines in big data centres\u201d, GPC 2017. LNCS, 10232, 191\u2013206.","journal-title":"LNCS"},{"key":"10841_CR11","first-page":"1","volume":"12","author":"L Teng","year":"2016","unstructured":"Teng, L., Pande, P. P., & Shirazi, B. (2016). A dynamic, compiler guided DVFS mechanism to achieve energy-efficiency in multi-core processors. Sustainable Computing: Informatics and Systems, 12, 1\u20139.","journal-title":"Sustainable Computing: Informatics and Systems"},{"issue":"10","key":"10841_CR12","doi-asserted-by":"publisher","first-page":"e4067","DOI":"10.1002\/cpe.4067","volume":"29","author":"P Arroba","year":"2016","unstructured":"Arroba, P., Moya, J. M., Ayala, J. L., & Buyya, R. (2016). Dynamic Voltage and frequency scaling-awre dynamic consolidation of virtual machines for energy efficient cloud data centres. Concurrency Computation Practice Experience, 29(10), e4067.","journal-title":"Concurrency Computation Practice Experience"},{"key":"10841_CR13","doi-asserted-by":"publisher","first-page":"5590","DOI":"10.1002\/cpe.3592","volume":"27","author":"W Zheng","year":"2015","unstructured":"Zheng, W., & Huang, S. (2015). An adaptive deadline constrained energy-efficient scheduling heuristic for workflows in clouds. Concurrency Computat.: Pract Exper, 27, 5590\u20135605. https:\/\/doi.org\/10.1002\/cpe.3592","journal-title":"Concurrency Computat.: Pract Exper"},{"key":"10841_CR14","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.simpat.2013.04.007","volume":"39","author":"T Gu\u00e9rout","year":"2013","unstructured":"Gu\u00e9rout, T., Monteil, T., Da Costa, G., Calheiros, R. N., Buyya, R., & Alexandru, M. (2013). Energy-aware simulation with DVFS. Simulation Modelling Practice and Theory, 39, 76\u201379.","journal-title":"Simulation Modelling Practice and Theory"},{"issue":"8","key":"10841_CR15","doi-asserted-by":"publisher","first-page":"1154","DOI":"10.1016\/j.jpdc.2011.01.004","volume":"71","author":"NB Rizvandi","year":"2011","unstructured":"Rizvandi, N. B., Taheri, J., & Zomaya, A. (2011). Some observations on optimal frequency selection in DVFS\u2013based energy consumption minimization. Journal of Parallel and Distributed Computing, 71(8), 1154\u20131164.","journal-title":"Journal of Parallel and Distributed Computing"},{"key":"10841_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TKDE.2018.2823758","volume":"31","author":"B Li","year":"2018","unstructured":"Li, B., Yang, X., Zhou, R., Wang, B., Liu, C., & Zhang, Y. (2018). An efficient method for high quality and cohesive topical phrase mining. IEEE Transactions on Knowledge and Data Engineering., 31, 1\u20131. https:\/\/doi.org\/10.1109\/TKDE.2018.2823758","journal-title":"IEEE Transactions on Knowledge and Data Engineering."},{"key":"10841_CR17","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1186\/s40537-019-0217-0","volume":"6","author":"S Dash","year":"2019","unstructured":"Dash, S., Shakyawar, S. K., Sharma, M., et al. (2019). Big data in healthcare: Management, analysis and future prospects. J Big Data, 6, 54. https:\/\/doi.org\/10.1186\/s40537-019-0217-0","journal-title":"J Big Data"},{"key":"10841_CR18","doi-asserted-by":"publisher","first-page":"6090282","DOI":"10.1155\/2023\/6090282","volume":"2023","author":"J Singh","year":"2023","unstructured":"Singh, J., Chen, J., Singh, S. P., Singh, M. P., Hassan, M. M., Hassan, M. M., & Awal, H. (2023). Load-balancing strategy: employing a capsule algorithm for cutting down energy consumption in cloud data centers for next generation wireless systems. Computational Intelligence and Neuroscience, 2023, 6090282. https:\/\/doi.org\/10.1155\/2023\/6090282","journal-title":"Computational Intelligence and Neuroscience"},{"key":"10841_CR19","doi-asserted-by":"publisher","first-page":"548","DOI":"10.1016\/j.future.2018.07.014","volume":"89","author":"D Ardagna","year":"2018","unstructured":"Ardagna, D., Cappiello, C., Sam\u00e1, W., & Vitali, M. (2018). Context-aware data quality assessment for big data. Future Generation Computer Systems, 89, 548\u2013562. https:\/\/doi.org\/10.1016\/j.future.2018.07.014","journal-title":"Future Generation Computer Systems"},{"issue":"1","key":"10841_CR20","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/s10723-015-9334-y","volume":"14","author":"Z Tang","year":"2016","unstructured":"Tang, Z., Qi, L., Cheng, Z., Li, K., Khan, S. U., & Li, K. (2016). An energy-efficient task scheduling algorithm in DVFS-enabled cloud environment. Journal of Grid Computing, 14(1), 55\u201374. https:\/\/doi.org\/10.1007\/s10723-015-9334-y","journal-title":"Journal of Grid Computing"},{"key":"10841_CR21","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1016\/j.future.2015.01.005","volume":"54","author":"S Ibrahim","year":"2016","unstructured":"Ibrahim, S., Phan, T. D., Carpen-Amarie, A., Chihoub, H. E., Moise, D., & Antoniu, G. (2016). Governing energy consumption in Hadoop through CPU frequency scaling: An analysis. Future Generation Computer Systems, 54, 219\u2013232. https:\/\/doi.org\/10.1016\/j.future.2015.01.005","journal-title":"Future Generation Computer Systems"},{"key":"10841_CR22","doi-asserted-by":"publisher","unstructured":"Hosseini Shirvani, M., Rahmani, A. M., & Sahafi, A. (2020). A survey study on virtual machine migration and server consolidation techniques in DVFS-enabled cloud datacenter: Taxonomy and challenges. In Journal of King Saud University - Computer and Information Sciences (Vol. 32, Issue 3, pp. 267\u2013286). King Saud bin Abdulaziz University. https:\/\/doi.org\/10.1016\/j.jksuci.2018.07.001","DOI":"10.1016\/j.jksuci.2018.07.001"},{"key":"10841_CR23","doi-asserted-by":"publisher","first-page":"28","DOI":"10.31577\/cai","volume":"39","author":"H He","year":"2020","unstructured":"He, H., Zhao, Y., & Pang, S. (2020). Stochastic modeling and performance analysis of energy-aware cloud data center based on dynamic scalable stochastic petri net. Computing and Informatics, 39, 28\u201350. https:\/\/doi.org\/10.31577\/cai","journal-title":"Computing and Informatics"},{"key":"10841_CR24","unstructured":"Liu, B., Bohnenstiehl, B., & Baas, B. M. (n.d.). Scalable Hardware-Based Power Management for Many-Core Systems."},{"key":"10841_CR25","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11244071","author":"S Khriji","year":"2022","unstructured":"Khriji, S., Ch\u00e9our, R., & Kanoun, O. (2022). Dynamic voltage and frequency scaling and duty-cycling for ultra low-power wireless sensor nodes. Electronics (Switzerland). https:\/\/doi.org\/10.3390\/electronics11244071","journal-title":"Electronics (Switzerland)"},{"key":"10841_CR26","doi-asserted-by":"publisher","first-page":"2403","DOI":"10.1007\/s11277-021-09362-7","volume":"126","author":"M Junaid","year":"2022","unstructured":"Junaid, M., Ali, S., Siddiqui, I. F., et al. (2022). Performance evaluation of data-driven intelligent algorithms for big data ecosystem. Wireless Personal Communications, 126, 2403\u20132423. https:\/\/doi.org\/10.1007\/s11277-021-09362-7","journal-title":"Wireless Personal Communications"},{"key":"10841_CR27","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1007\/s11277-019-06264-7","volume":"106","author":"IF Siddiqui","year":"2019","unstructured":"Siddiqui, I. F., Qureshi, N. M., Chowdhry, B. S., & Uqaili, M. A. (2019). Edge-node-aware adaptive data processing framework for smart grid. Wireless Personal Communications, 106, 179\u2013189.","journal-title":"Wireless Personal Communications"},{"key":"10841_CR28","doi-asserted-by":"publisher","first-page":"17","DOI":"10.3390\/bdcc6010017","volume":"6","author":"I Lee","year":"2022","unstructured":"Lee, I., & Mangalaraj, G. (2022). Big data analytics in supply chain management: a systematic literature review and research directions. Big Data Cogn. Comput., 6, 17. https:\/\/doi.org\/10.3390\/bdcc6010017","journal-title":"Big Data Cogn. Comput."},{"key":"10841_CR29","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1002\/cpe.3750","volume":"28","author":"F Pop","year":"2016","unstructured":"Pop, F., Iacono, M., Gribaudo, M., & Ko\u0142odziej, J. (2016). Advances in modelling and simulation for big-data applications (AMSBA). Concurrency Computat.: Pract Exper., 28, 291\u2013293. https:\/\/doi.org\/10.1002\/cpe.3750","journal-title":"Concurrency Computat.: Pract Exper."},{"issue":"2","key":"10841_CR30","doi-asserted-by":"publisher","first-page":"1217","DOI":"10.1007\/s11277-020-07215-3","volume":"116","author":"NMF Qureshi","year":"2021","unstructured":"Qureshi, N. M. F., Siddiqui, I. F., Abbas, A., Bashir, A. K., Nam, C. S., Chowdhry, B. S., & Uqaili, M. A. (2021). Stream-based authentication strategy using iot sensor data in multi-homing sub-aqueous big data network. Wireless Personal Communications, 116(2), 1217\u20131229. https:\/\/doi.org\/10.1007\/s11277-020-07215-3","journal-title":"Wireless Personal Communications"}],"container-title":["Wireless Personal Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-023-10841-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11277-023-10841-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-023-10841-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,19]],"date-time":"2024-02-19T15:18:16Z","timestamp":1708355896000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11277-023-10841-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":30,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2023,12]]}},"alternative-id":["10841"],"URL":"https:\/\/doi.org\/10.1007\/s11277-023-10841-2","relation":{},"ISSN":["0929-6212","1572-834X"],"issn-type":[{"value":"0929-6212","type":"print"},{"value":"1572-834X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12]]},"assertion":[{"value":"21 December 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 February 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that there is no conflict of interest regarding the publication of this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}