國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Real-Time Virtualization and Cloud C...

Washington University in St. Louis.

Real-Time Virtualization and Cloud Computing.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Real-Time Virtualization and Cloud Computing.
作者:	Xi, Sisu.
面頁冊數:	113 p.
附註:	Source: Dissertation Abstracts International, Volume: 75-12(E), Section: B.
附註:	Advisers: Chenyang Lu; Christopher D. Gill.
Contained By:	Dissertation Abstracts International75-12B(E).
標題:	Computer science.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3633065
ISBN:	9781321125344

Real-Time Virtualization and Cloud Computing.
Xi, Sisu.

Real-Time Virtualization and Cloud Computing. - 113 p.

Source: Dissertation Abstracts International, Volume: 75-12(E), Section: B.

Thesis (Ph.D.)--Washington University in St. Louis, 2014.

This item must not be sold to any third party vendors.

In recent years, we have observed three major trends in the development of complex real-time embedded systems. First, to reduce cost and enhance flexibility, multiple systems are sharing common computing platforms via virtualization technology, instead of being deployed separately on physically isolated hosts. Second, multi-core processors are increasingly being used in real-time systems. Third, developers are exploring the possibilities of deploying real-time applications as virtual machines in a public cloud. The integration of real-time systems as virtual machines (VMs) atop common multi-core platforms in a public cloud raises significant new research challenges in meeting the real-time latency requirements of applications.

ISBN: 9781321125344Subjects--Topical Terms:

199325
Computer science.

Real-Time Virtualization and Cloud Computing.
LDR:03196nmm a2200301 4500 001 457690
005 20150805065221.5
008 150916s2014 ||||||||||||||||| ||eng d
020 $a 9781321125344
035 $a (MiAaPQ)AAI3633065
035 $a AAI3633065
040 $a MiAaPQ $c MiAaPQ
100 1 $a Xi, Sisu. $3 708714
245 1 0 $a Real-Time Virtualization and Cloud Computing.
300 $a 113 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-12(E), Section: B.
500 $a Advisers: Chenyang Lu; Christopher D. Gill.
502 $a Thesis (Ph.D.)--Washington University in St. Louis, 2014.
506 $a This item must not be sold to any third party vendors.
520 $a In recent years, we have observed three major trends in the development of complex real-time embedded systems. First, to reduce cost and enhance flexibility, multiple systems are sharing common computing platforms via virtualization technology, instead of being deployed separately on physically isolated hosts. Second, multi-core processors are increasingly being used in real-time systems. Third, developers are exploring the possibilities of deploying real-time applications as virtual machines in a public cloud. The integration of real-time systems as virtual machines (VMs) atop common multi-core platforms in a public cloud raises significant new research challenges in meeting the real-time latency requirements of applications.
520 $a In order to address the challenges of running real-time VMs in the cloud, we first present RT-Xen, a novel real-time scheduling framework within the popular Xen hypervisor. We start with single-core scheduling in RT-Xen, and present the first work that empirically studies and compares different real-time scheduling schemes on a same platform. We then introduce RT-Xen 2.0, which focuses on multi-core scheduling and spanning multiple design spaces, including priority schemes, server schemes, and scheduling policies. Experimental results demonstrate that when combined with compositional scheduling theory, RT-Xen can deliver real-time performance to an application running in a VM, while the default credit scheduler cannot. After that, we present RT-OpenStack, a cloud management system designed to support co-hosting real-time and non-real-time VMs in a cloud. RT-OpenStack studies the problem of running real-time VMs together with non-real-time VMs in a public cloud. Leveraging the resource interface and real-time scheduling provided by RT-Xen, RT-OpenStack provides real-time performance guarantees to real-time VMs, while achieving high resource utilization by allowing non-real-time VMs to share the remaining CPU resources through a novel VM-to-host mapping scheme. Finally, we present RTCA, a real-time communication architecture for VMs sharing a same host, which maintains low latency for high priority inter-domain communication (IDC) traffic in the face of low priority IDC traffic.
590 $a School code: 0252.
650 4 $a Computer science. $3 199325
650 4 $a Computer engineering. $3 212944
690 $a 0984
690 $a 0464
710 2 $a Washington University in St. Louis. $b Computer Science. $3 708715
773 0 $t Dissertation Abstracts International $g 75-12B(E).
790 $a 0252
791 $a Ph.D.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3633065