{"title":"Ananke: A framework for Cloud-Native Applications smart orchestration","authors":"A. D. Stefano, A. Stefano, G. Morana","doi":"10.1109/WETICE49692.2020.00024","DOIUrl":null,"url":null,"abstract":"Micro-service architecture enables smarter management of applications life-cycle. However, the increasing of the number of components also increases complexity, especially on operations like migration and horizontal scaling. While operations, in monolithic systems, involve only one component, operations in micro-services based applications can get complex and should involve parameters and properties like connection throughput, resources usage, robustness or consistency and reliability. To perform this kind of operations and optimization strategies in micro-services applications, we propose Ananke, a framework consisting of a time-varying multi-layer graph-based model and architecture to profile micro-services and their interactions in a platform-as-a-service environment. The aim of Ananke is to provide support and facilities for optimization strategies that a Cloud Provider can exploit to guarantee quality of service and service-level agreements better.","PeriodicalId":114214,"journal":{"name":"2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","volume":"512 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WETICE49692.2020.00024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Micro-service architecture enables smarter management of applications life-cycle. However, the increasing of the number of components also increases complexity, especially on operations like migration and horizontal scaling. While operations, in monolithic systems, involve only one component, operations in micro-services based applications can get complex and should involve parameters and properties like connection throughput, resources usage, robustness or consistency and reliability. To perform this kind of operations and optimization strategies in micro-services applications, we propose Ananke, a framework consisting of a time-varying multi-layer graph-based model and architecture to profile micro-services and their interactions in a platform-as-a-service environment. The aim of Ananke is to provide support and facilities for optimization strategies that a Cloud Provider can exploit to guarantee quality of service and service-level agreements better.