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Toward scalable Web systems on multicore clusters: making use of virtual machines.

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Title: Toward scalable Web systems on multicore clusters: making use of virtual machines.
Authors: Shi, Xuanhua1 xhshi@hust.edu.cn, Jin, Hai1 hjin@hust.edu.cn, Jiang, Hongbo2 hongbojiang2004@gmail.com, Pan, Xiaodong1 xdongp@gmail.com, Huang, Dachuan1 hdc1112@gmail.com, Yu, Bo1 yubo@hust.edu.cn
Source: Journal of Supercomputing. Jul2012, Vol. 61 Issue 1, p27-45. 19p.
Subjects: Programming languages, Pascal (Computer program language), Internet servers, Web hosting
Abstract: Limited by the existing design pattern, a lot of existing softwares have not yet taken full use of multicore processing power, incurring low utilization of hardware, even a bottleneck of the whole system. To address this problem, in this paper, we propose a VM-based Web system on multicore clusters. The VM-based Web system is scheduled by Linux Virtual Server (LVS) and we implement the web server with Tomcat. In the mean time, we develop VNIX, a set of VM management toolkit, to facilitate managing VMs on clusters, aiming at improving the usage of multicore CPU power. To reduce resources contention among VMs, we propose to deploy LVS schedulers distributively on different physical nodes. To evaluate our approach, we conduct extensive experiments to compare VM-based Web system with classical physical machine-based Web system. Our experimental results demonstrate that the proposed VM-based Web system can result in throughput improvements of up to three times compared with the same multicore clusters, with an error rate at the server side as low as 20% of that of classic systems. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Supercomputing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Limited by the existing design pattern, a lot of existing softwares have not yet taken full use of multicore processing power, incurring low utilization of hardware, even a bottleneck of the whole system. To address this problem, in this paper, we propose a VM-based Web system on multicore clusters. The VM-based Web system is scheduled by Linux Virtual Server (LVS) and we implement the web server with Tomcat. In the mean time, we develop VNIX, a set of VM management toolkit, to facilitate managing VMs on clusters, aiming at improving the usage of multicore CPU power. To reduce resources contention among VMs, we propose to deploy LVS schedulers distributively on different physical nodes. To evaluate our approach, we conduct extensive experiments to compare VM-based Web system with classical physical machine-based Web system. Our experimental results demonstrate that the proposed VM-based Web system can result in throughput improvements of up to three times compared with the same multicore clusters, with an error rate at the server side as low as 20% of that of classic systems. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Supercomputing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11227-011-0623-3
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              Text: Jul2012
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