HotTopiCS '14最新文献

An Architecture-Based Approach for Compute-Intensive Pervasive Systems in Dynamic Environments 动态环境下计算密集型普适系统的基于体系结构的方法

HotTopiCS '14 Pub Date : 2014-03-22 DOI: 10.1145/2649563.2649577

Rima Al Ali, I. Gerostathopoulos, I. Gonzalez-Herrera, Adrian Juan Verdejo, M. Kit, Bholanathsingh Surajbali

引用次数: 9

Applying Architectural Templates for Design-Time Scalability and Elasticity Analyses of SaaS Applications 应用架构模板进行SaaS应用程序的设计时可伸缩性和弹性分析

HotTopiCS '14 Pub Date : 2014-03-22 DOI: 10.1145/2649563.2649573

Sebastian Lehrig

引用次数: 12

Towards a Resource Elasticity Benchmark for Cloud Environments 面向云环境的资源弹性基准

HotTopiCS '14 Pub Date : 2014-03-22 DOI: 10.1145/2649563.2649571

Andreas Weber, N. Herbst, Henning Groenda, Samuel Kounev

引用次数: 28

Optimization Method for Request Admission Control to Guarantee Performance Isolation 保证性能隔离的请求允许控制优化方法

HotTopiCS '14 Pub Date : 2014-03-22 DOI: 10.1145/2649563.2649575

Rouven Krebs, P. Schneider, N. Herbst

{"title":"Optimization Method for Request Admission Control to Guarantee Performance Isolation","authors":"Rouven Krebs, P. Schneider, N. Herbst","doi":"10.1145/2649563.2649575","DOIUrl":"https://doi.org/10.1145/2649563.2649575","url":null,"abstract":"Software-as-a-Service (SaaS) often shares one single application instance among different tenants to reduce costs. However, sharing potentially leads to undesired influence from one tenant onto the performance observed by the others. Furthermore, providing one tenant additional resources to support its increasing demands without increasing the performance of tenants who do not pay for it is a major challenge. The application intentionally does not manage hardware resources, and the OS is not aware of application level entities like tenants. Thus, it is difficult to control the performance of different tenants to keep them isolated. These problems gain importance as performance is one of the major obstacles for cloud customers. Existing work applies request based admission control mechanisms like a weighted round robin with an individual queue for each tenant to control the share guaranteed for a tenant. However, the computation of the concrete weights for such an admission control is still challenging. In this paper, we present a fitness function and optimization approach reflecting various requirements from this field to compute proper weights with the goal to ensure an isolated performance as foundation to scale on a tenants basis.","PeriodicalId":328985,"journal":{"name":"HotTopiCS '14","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133720364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Network traffic optimization architecture for scalability in academic inter-cloud computing environments 面向学术跨云计算环境可扩展性的网络流量优化架构

HotTopiCS '14 Pub Date : 2014-03-22 DOI: 10.1145/2649563.2649572

Shigetoshi Yokoyama, Atsushi Matsumoto, Nobukazu Yoshioka

{"title":"Network traffic optimization architecture for scalability in academic inter-cloud computing environments","authors":"Shigetoshi Yokoyama, Atsushi Matsumoto, Nobukazu Yoshioka","doi":"10.1145/2649563.2649572","DOIUrl":"https://doi.org/10.1145/2649563.2649572","url":null,"abstract":"In academic inter-cloud environments, virtual machines communicate with other virtual machines in different virtual L2 network segments through a virtual router. As virtual routers are deployed on certain physical machines, communication between virtual machines via virtual routers could not be an optimal in physical sense. We are proposing an academic inter-cloud architecture (AIC) [1] which consists of AIC compute and AIC storage. AIC is a hub of clouds and it provides compute physical resource on-demand for each cloud. It means that AIC provides extension to the clouds. The clouds meet in AIC. In that sense, the virtual machines in each cloud are physically close. However, the communication between virtual machines which are located in different clouds has another level optimization problem. The communication between the virtual machines is through the gateways of each cloud. The latency cloud be much smaller if we can optimize the route. For cloud scalability we may provide bare metal servers at geographically distributed manner but the network latency should be optimized by application requirements. We propose an architecture to solve these issues which has L3 function delegation mechanism to open flow switches to reduce network latency according to users' requirements for short cuts.","PeriodicalId":328985,"journal":{"name":"HotTopiCS '14","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123468753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1