{"title":"服务器迁移服务中使用最小支配集的工作场所容量设计","authors":"Y. Fukushima, I. Goda, T. Murase, T. Yokohira","doi":"10.1109/NTMS.2018.8328725","DOIUrl":null,"url":null,"abstract":"A server migration service (SMS) has been proposed as a means of improving communication QoS of network application (NW-Apps) operated on Infrastructure as a Service (IaaS)-type cloud services. In SMS, computers called workplaces (WPs) are distributed across the network, and a server-side application (server) of a NW-App can migrate among the WPs in order to improve the communication QoS of NW-Apps. In this paper, we tackle a WP capacity design problem where we determine where WPs should be placed within a NW, and what capacity they should have. We propose two methods for the problem. Method 1 seeks to place higher capacity WPs at locations where more servers are likely to stay. Method 2 tries to position WPs such that the required level of communication QoS for NW-Apps can be satisfied with at least one WP at any location in the NW. This is accomplished by formulating the WP capacity design problem as a minimum dominating set (MDS) problem and solving it.","PeriodicalId":140704,"journal":{"name":"2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Workplace Capacity Design Using the Minimum Dominating Set in Server Migration Services\",\"authors\":\"Y. Fukushima, I. Goda, T. Murase, T. Yokohira\",\"doi\":\"10.1109/NTMS.2018.8328725\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A server migration service (SMS) has been proposed as a means of improving communication QoS of network application (NW-Apps) operated on Infrastructure as a Service (IaaS)-type cloud services. In SMS, computers called workplaces (WPs) are distributed across the network, and a server-side application (server) of a NW-App can migrate among the WPs in order to improve the communication QoS of NW-Apps. In this paper, we tackle a WP capacity design problem where we determine where WPs should be placed within a NW, and what capacity they should have. We propose two methods for the problem. Method 1 seeks to place higher capacity WPs at locations where more servers are likely to stay. Method 2 tries to position WPs such that the required level of communication QoS for NW-Apps can be satisfied with at least one WP at any location in the NW. This is accomplished by formulating the WP capacity design problem as a minimum dominating set (MDS) problem and solving it.\",\"PeriodicalId\":140704,\"journal\":{\"name\":\"2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NTMS.2018.8328725\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NTMS.2018.8328725","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Workplace Capacity Design Using the Minimum Dominating Set in Server Migration Services
A server migration service (SMS) has been proposed as a means of improving communication QoS of network application (NW-Apps) operated on Infrastructure as a Service (IaaS)-type cloud services. In SMS, computers called workplaces (WPs) are distributed across the network, and a server-side application (server) of a NW-App can migrate among the WPs in order to improve the communication QoS of NW-Apps. In this paper, we tackle a WP capacity design problem where we determine where WPs should be placed within a NW, and what capacity they should have. We propose two methods for the problem. Method 1 seeks to place higher capacity WPs at locations where more servers are likely to stay. Method 2 tries to position WPs such that the required level of communication QoS for NW-Apps can be satisfied with at least one WP at any location in the NW. This is accomplished by formulating the WP capacity design problem as a minimum dominating set (MDS) problem and solving it.