标题
A regression tree predictive model for virtual machine startup time in IaaS clouds
作者
关键词
-
出版物
Cluster Computing
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-09-17
DOI
10.1007/s10586-020-03169-0
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Energy and quality of service-aware virtual machine consolidation in a cloud data center
- (2020) Anurina Tarafdar et al. JOURNAL OF SUPERCOMPUTING
- Resource provisioning using workload clustering in cloud computing environment: a hybrid approach
- (2020) Ali Shahidinejad et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- Self-adaptive resource allocation for cloud-based software services based on iterative QoS prediction model
- (2019) Xing Chen et al. Future Generation Computer Systems-The International Journal of eScience
- An adaptive heuristic for managing energy consumption and overloaded hosts in a cloud data center
- (2018) Rahul Yadav et al. WIRELESS NETWORKS
- Multi-valued collaborative QoS prediction for cloud service via time series analysis
- (2017) Hua Ma et al. Future Generation Computer Systems-The International Journal of eScience
- Exploiting Web service geographical neighborhood for collaborative QoS prediction
- (2017) Zhen Chen et al. Future Generation Computer Systems-The International Journal of eScience
- TAP: A personalized trust-aware QoS prediction approach for web service recommendation
- (2017) Kai Su et al. KNOWLEDGE-BASED SYSTEMS
- MeReg: Managing Energy-SLA Tradeoff for Green Mobile Cloud Computing
- (2017) Rahul Yadav et al. WIRELESS COMMUNICATIONS & MOBILE COMPUTING
- Long-Term QoS-Aware Cloud Service Composition Using Multivariate Time Series Analysis
- (2016) Zhen Ye et al. IEEE Transactions on Services Computing
- Provision of Data-Intensive Services Through Energy- and QoS-Aware Virtual Machine Placement in National Cloud Data Centers
- (2016) Shangguang Wang et al. IEEE Transactions on Emerging Topics in Computing
- A Reference Model for Virtual Machine Launching Overhead
- (2016) Hao Wu et al. IEEE Transactions on Cloud Computing
- Virtual machine selection and placement for dynamic consolidation in Cloud computing environment
- (2015) Xiong Fu et al. Frontiers of Computer Science
- QoS prediction for web service compositions using kernel-based quantile estimation with online adaptation of the constant offset
- (2014) Dries Geebelen et al. INFORMATION SCIENCES
- QRSF: QoS-aware resource scheduling framework in cloud computing
- (2014) Sukhpal Singh et al. JOURNAL OF SUPERCOMPUTING
- A Stochastic Model to Investigate Data Center Performance and QoS in IaaS Cloud Computing Systems
- (2013) Dario Bruneo IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- Empirical prediction models for adaptive resource provisioning in the cloud
- (2011) Sadeka Islam et al. Future Generation Computer Systems-The International Journal of eScience
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