{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T06:38:59Z","timestamp":1776926339897,"version":"3.51.2"},"reference-count":24,"publisher":"Tech Science Press","issue":"3","license":[{"start":{"date-parts":[[2025,8,3]],"date-time":"2025-08-03T00:00:00Z","timestamp":1754179200000},"content-version":"vor","delay-in-days":214,"URL":"https:\/\/doi.org\/10.32604\/TSP-CROSSMARKPOLICY"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2025]]},"DOI":"10.32604\/cmc.2025.064880","type":"journal-article","created":{"date-parts":[[2025,7,6]],"date-time":"2025-07-06T23:52:18Z","timestamp":1751845938000},"page":"5077-5093","update-policy":"https:\/\/doi.org\/10.32604\/tsp-crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["SDVformer: A Resource Prediction Method for Cloud Computing Systems"],"prefix":"10.32604","volume":"84","author":[{"given":"Shui","family":"Liu","sequence":"first","affiliation":[]},{"given":"Ke","family":"Xiong","sequence":"additional","affiliation":[]},{"given":"Yeshen","family":"Li","sequence":"additional","affiliation":[]},{"given":"Zhifei","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Yu","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Pingyi","family":"Fan","sequence":"additional","affiliation":[]}],"member":"17807","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"3639","DOI":"10.3390\/electronics11213639","article-title":"Cost-effective and energy-aware resource allocation in cloud data centers","volume":"11","author":"Sabyasachi","year":"2022","journal-title":"Electronics"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"604","DOI":"10.1109\/TPDS.2024.3360448","article-title":"Multi-agent deep reinforcement learning framework for renewable energy-aware workflow scheduling on distributed cloud data centers","volume":"35","author":"Jayanetti","year":"2024","journal-title":"IEEE Trans Parallel Distrib Syst"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1109\/TASE.2013.2276477","article-title":"Stochastic modeling and quality evaluation of infrastructure-as-a-service clouds","volume":"12","author":"Xia","year":"2015","journal-title":"IEEE Trans Automat Sci Eng"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"1097","DOI":"10.1109\/TASE.2019.2909866","article-title":"Profit-sensitive spatial scheduling of multi-application tasks in distributed green clouds","volume":"17","author":"Yuan","year":"2020","journal-title":"IEEE Trans Autom Sci Eng"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1109\/TPAMI.1982.4767213","article-title":"Optimal choice of AR and MA parts in autoregressive moving average models","volume":"2","author":"Kashyap","year":"1982","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref6","series-title":"Proceedings of the SMC\u201998 Conference Proceedings; 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No. 98CH36218)","article-title":"Time series prediction using RNN in multi-dimension embedding phase space","author":"Zhang","year":"1998 Oct 14"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"2451","DOI":"10.1162\/089976600300015015","article-title":"Learning to forget: continual prediction with LSTM","volume":"12","author":"Gers","year":"2000","journal-title":"Neural Comput"},{"key":"ref8","series-title":"Proceedings of the 2019 IEEE International Conference on Big Data (Big Data)","article-title":"The performance of LSTM and BiLSTM in forecasting time series","author":"Siami-Namini","year":"2019 Dec 9\u201312"},{"key":"ref9","series-title":"Proceedings of the International Symposium on Quality of Service","article-title":"Who limits the resource efficiency of my datacenter: an analysis of Alibaba datacenter traces","author":"Guo","year":"2019 Jun 24"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/S0925-2312(01)00702-0","article-title":"Time series forecasting using a hybrid ARIMA and neural network model","volume":"50","author":"Zhang","year":"2003","journal-title":"Neurocomputing"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1109\/TCC.2014.2350475","article-title":"Workload prediction using ARIMA model and its impact on cloud applications\u2019 QoS","volume":"3","author":"Calheiros","year":"2015","journal-title":"IEEE Trans Cloud Comput"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/j.ins.2017.08.060","article-title":"Oblique random forest ensemble via Least Square Estimation for time series forecasting","volume":"420","author":"Qiu","year":"2017","journal-title":"Inf Sci"},{"key":"ref13","series-title":"Proceedings of the 2012 International Conference on High Performance Computing & Simulation (HPCS)","article-title":"A resource prediction model for virtualization servers","author":"Mallick","year":"2012 Jul 2\u20136"},{"key":"ref14","series-title":"Proceedings of the 2013 IEEE 33rd International Conference on Distributed Computing Systems Workshops","article-title":"CPU load prediction using support vector regression and Kalman smoother for cloud","author":"Hu","year":"2013 Jul 8\u201311"},{"key":"ref15","series-title":"Proceedings of the 2017 12th International Conference for Internet Technology and Secured Transactions (ICITST)","article-title":"Predicting host CPU utilization in cloud computing using recurrent neural networks","author":"Duggan","year":"2017 Dec 11\u201314"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"131476","DOI":"10.1109\/ACCESS.2021.3113714","article-title":"BHyPreC: a novel Bi-LSTM based hybrid recurrent neural network model to predict the CPU workload of cloud virtual machine","volume":"9","author":"Karim","year":"2021","journal-title":"IEEE Access"},{"key":"ref17","series-title":"Proceedings of the 31st Conference on Neural Information Processing Systems (NIPS 2017)","article-title":"Attention is all you need","author":"Vaswani","year":"2017 Dec 4\u20139"},{"key":"ref18","unstructured":"Zhou H, Zhang S, Peng J, Zhang S, Li J, Xiong H, et al. Informer: beyond efficient transformer for long sequence time-series forecasting. AAAI [Internet]. 2021 May 18 [cited 2025 Jun 1]. Available from: https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/17325."},{"key":"ref19","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1109\/TSC.2025.3536313","article-title":"MSCNet: multi-scale network with convolutions for long-term cloud workload prediction","volume":"18","author":"Zhao","year":"2025","journal-title":"IEEE Trans Serv Comput"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"1627","DOI":"10.1021\/ac60214a047","article-title":"Smoothing and differentiation of data by simplified least squares procedures","volume":"36","author":"Savitzky","year":"1964","journal-title":"Anal Chem"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"26419","DOI":"10.1109\/JIOT.2024.3395610","article-title":"Multivariate resource usage prediction with frequency-enhanced and attention-assisted transformer in cloud computing systems","volume":"11","author":"Bi","year":"2024","journal-title":"IEEE Internet Things J"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1162\/neco.1994.6.2.181","article-title":"Hierarchical mixtures of experts and the EM algorithm","volume":"6","author":"Jordan","year":"1994","journal-title":"Neural Comput"},{"key":"ref23","first-page":"22419","article-title":"Autoformer: decomposition transformers with auto-correlation for long-term series forecasting","volume":"34","author":"Wu","year":"2021","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref24","series-title":"Proceedings of the International Conference Machine Learning (ICML)","article-title":"Fedformer: frequency enhanced decomposed transformer for long-term series forecasting","author":"Zhou","year":"2022 Jul 17\u201323"}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-84-3\/TSP_CMC_64880\/TSP_CMC_64880.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T05:45:27Z","timestamp":1776923127000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v84n3\/63144"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":24,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.064880","relation":{},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"2025-02-26","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-05-22","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-07-30","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}