{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T05:04:03Z","timestamp":1772773443769,"version":"3.50.1"},"reference-count":17,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2017,11,28]],"date-time":"2017-11-28T00:00:00Z","timestamp":1511827200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Future Internet"],"abstract":"<jats:p>Containerized data centers can improve the computational density of IaaS layers. This intensive high-concurrency environment has high requirements for message scheduling and container processing. In the paper, an elastically scalable strategy for cloud containers based on predictive message scheduling is introduced, in order to reduce the delay of messages and improve the response time of services and the utilization of container resources. According to the busy degree of different containers, a management strategy of multiple containers at message-granularity level is developed, which gives the containers better elasticity. The simulation results show that the proposed strategy improves service processing efficiency and reduces response latency compared with existing solutions.<\/jats:p>","DOI":"10.3390\/fi9040087","type":"journal-article","created":{"date-parts":[[2017,11,28]],"date-time":"2017-11-28T11:23:50Z","timestamp":1511868230000},"page":"87","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["High-Performance Elastic Management for Cloud Containers Based on Predictive Message Scheduling"],"prefix":"10.3390","volume":"9","author":[{"given":"Chengxin","family":"Yan","sequence":"first","affiliation":[{"name":"School of Computer and Electronic Information, Guangxi University, Nanning 530004, China"}]},{"given":"Ningjiang","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer and Electronic Information, Guangxi University, Nanning 530004, China"}]},{"given":"Zhang","family":"Shuo","sequence":"additional","affiliation":[{"name":"School of Computer and Electronic Information, Guangxi University, Nanning 530004, China"}]}],"member":"1968","published-online":{"date-parts":[[2017,11,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Amaral, M., Polo, J., and Carrera, D. (2015, January 28\u201330). Performance Evaluation of Microservices Architectures using Containers. Proceedings of the 14th IEEE International Symposium on Network Computing and Applications, Cambridge, MA, USA.","DOI":"10.1109\/NCA.2015.49"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Jaramillo, D., Nguyen, D.V., and Smart, R. (April, January 30). Leveraging microservices architecture by using Docker technology. Proceedings of the 2016 IEEE South East Conference, Norfolk, VA, USA.","DOI":"10.1109\/SECON.2016.7506647"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1109\/MCC.2014.51","article-title":"Containers and cloud: From Lxc to docker to kubernetes","volume":"1","author":"Bernstein","year":"2014","journal-title":"IEEE Cloud Comput."},{"key":"ref_4","unstructured":"Shojafar, M., Canali, C., Lancellotti, R., and Abawajy, J. (2016). Adaptive Computing-plus-Communication Optimization Framework for Multimedia Processing in Cloud Systems. 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