{"title":"Poster: LBMS: load balancing based on multilateral security in cloud","authors":"Pengfei Sun, Qingni Shen, Ying Chen, Zhonghai Wu, Cong Zhang, Anbang Ruan, Liang Gu","doi":"10.1145/2046707.2093512","DOIUrl":null,"url":null,"abstract":"Load balancing has been widely used on the field of Cloud Computing, which makes sure that none of the existing resources are idle while other physical machines are being utilized by Cloud Computing providers. However, VMs of tenants may be migrated to a physical machine with potential attacks which may use memory caches as side channels. So the security problem coexisting on the same physical machine is an important barrier for enterprise to adopt of cloud computing. We present a new security load balancing architecture--Load Balancing based on Multilateral Security (LBMS) which can migrate tenants' VMs automatically to the ideal security physical machine when reach peak-load by index and negotiation. We are implementing our prototype based on CloudSim, a Cloud computing simulation. Our architecture makes an effort to avoid potential attacks when VMs migrate to physical machine due to load balancing.","PeriodicalId":72687,"journal":{"name":"Conference on Computer and Communications Security : proceedings of the ... conference on computer and communications security. ACM Conference on Computer and Communications Security","volume":"34 1","pages":"861-864"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Computer and Communications Security : proceedings of the ... conference on computer and communications security. ACM Conference on Computer and Communications Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2046707.2093512","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
Load balancing has been widely used on the field of Cloud Computing, which makes sure that none of the existing resources are idle while other physical machines are being utilized by Cloud Computing providers. However, VMs of tenants may be migrated to a physical machine with potential attacks which may use memory caches as side channels. So the security problem coexisting on the same physical machine is an important barrier for enterprise to adopt of cloud computing. We present a new security load balancing architecture--Load Balancing based on Multilateral Security (LBMS) which can migrate tenants' VMs automatically to the ideal security physical machine when reach peak-load by index and negotiation. We are implementing our prototype based on CloudSim, a Cloud computing simulation. Our architecture makes an effort to avoid potential attacks when VMs migrate to physical machine due to load balancing.
负载平衡在云计算领域得到了广泛的应用,它可以确保在云计算提供商使用其他物理机器时,没有任何现有资源是空闲的。但是,租户的虚拟机可能会迁移到有潜在攻击的物理机上,这些攻击可能会使用内存缓存作为侧通道。因此,在同一台物理机上共存的安全问题是企业采用云计算的重要障碍。提出了一种新的安全负载均衡架构——基于多边安全的负载均衡(load balancing based on Multilateral security, LBMS),该架构可以通过索引和协商的方式,在负载达到峰值时将租户的虚拟机自动迁移到理想的安全物理机上。我们正在实现基于CloudSim的原型,这是一种云计算模拟。当虚拟机由于负载平衡迁移到物理机时,我们的架构努力避免潜在的攻击。