{"title":"大规模网络中运营商配置机制的行为理解","authors":"Manisha Luthra, Sebastian Hennig, B. Koldehofe","doi":"10.1145/3284014.3284024","DOIUrl":null,"url":null,"abstract":"Operator Placement (OP) mechanism dictates the mapping of compute units, aka. operators on the network infrastructure based on the performance objectives requested by the end-user. The behavior of a placement is strongly influenced by the underlying environment e.g., the workload of queries or performance objectives of a large number of users. Due to this reason, it is not sufficient to build Distributed Complex Event Processing (DCEP) just on a single placement mechanism, but it can benefit from an adaptive use of multiple placement mechanisms. Tcep provides this by (i) supporting key interfaces to develop OP mechanisms, (ii) allowing a dynamic exchange of OP mechanisms based on the user requirements and (iii) facilitating deployment of the operators on a wide range of network infrastructure. In this demonstration1, we (i) provide an understanding on the behavior of OP mechanisms in Tcep on large-scale networks using GENI testbed2 and (ii) show using the transition methodology in Tcep, that different OP mechanisms can be utilized to fulfill the performance requirements of a large number of users.","PeriodicalId":269249,"journal":{"name":"Proceedings of the 19th International Middleware Conference (Posters)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Understanding the Behavior of Operator Placement Mechanisms on Large-Scale Networks\",\"authors\":\"Manisha Luthra, Sebastian Hennig, B. Koldehofe\",\"doi\":\"10.1145/3284014.3284024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Operator Placement (OP) mechanism dictates the mapping of compute units, aka. operators on the network infrastructure based on the performance objectives requested by the end-user. The behavior of a placement is strongly influenced by the underlying environment e.g., the workload of queries or performance objectives of a large number of users. Due to this reason, it is not sufficient to build Distributed Complex Event Processing (DCEP) just on a single placement mechanism, but it can benefit from an adaptive use of multiple placement mechanisms. Tcep provides this by (i) supporting key interfaces to develop OP mechanisms, (ii) allowing a dynamic exchange of OP mechanisms based on the user requirements and (iii) facilitating deployment of the operators on a wide range of network infrastructure. In this demonstration1, we (i) provide an understanding on the behavior of OP mechanisms in Tcep on large-scale networks using GENI testbed2 and (ii) show using the transition methodology in Tcep, that different OP mechanisms can be utilized to fulfill the performance requirements of a large number of users.\",\"PeriodicalId\":269249,\"journal\":{\"name\":\"Proceedings of the 19th International Middleware Conference (Posters)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 19th International Middleware Conference (Posters)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3284014.3284024\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 19th International Middleware Conference (Posters)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3284014.3284024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Understanding the Behavior of Operator Placement Mechanisms on Large-Scale Networks
Operator Placement (OP) mechanism dictates the mapping of compute units, aka. operators on the network infrastructure based on the performance objectives requested by the end-user. The behavior of a placement is strongly influenced by the underlying environment e.g., the workload of queries or performance objectives of a large number of users. Due to this reason, it is not sufficient to build Distributed Complex Event Processing (DCEP) just on a single placement mechanism, but it can benefit from an adaptive use of multiple placement mechanisms. Tcep provides this by (i) supporting key interfaces to develop OP mechanisms, (ii) allowing a dynamic exchange of OP mechanisms based on the user requirements and (iii) facilitating deployment of the operators on a wide range of network infrastructure. In this demonstration1, we (i) provide an understanding on the behavior of OP mechanisms in Tcep on large-scale networks using GENI testbed2 and (ii) show using the transition methodology in Tcep, that different OP mechanisms can be utilized to fulfill the performance requirements of a large number of users.