AN EXPERIMENTAL STUDY ON VIRTUAL MACHINE LIVE MIGRATION IMPACT ON SERVICES PERFORMANCE

被引:0
作者
Bezerra, Petronio [1 ]
Santos, Marcela [1 ]
Alves, Edlane [1 ]
Costa, Anderson [1 ]
Albuquerque, Fellype [2 ]
Martins, Gustavo [2 ]
Gomes, Reinaldo [2 ]
机构
[1] Fed Inst ParaAa IFPB, Campina Grande Campus, BR-58432300 Campina Grande, PB, Brazil
[2] Fed Inst ParaAa IFPB, Dept Syst & Computat, 882 Univ, BR-58432300 Campina Grande, PB, Brazil
关键词
Migration; virtualization; overhead; evaluation; Xen;
D O I
10.31577/cai_2019_2_291
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
One important benefit of servers' virtualization is the reduction of the maintenance complexity of infrastructures. A key feature is servers' live migration which allows virtual servers to be exchanged between physical machines without stopping their services. However, virtualization also has some drawbacks caused by the overhead generated. Our research evaluated live migration process overhead, on real and virtual environments, noticed from the client's side regarding two different services: web and database. YCSB and ab Benchmark were adopted as workloads. Almost all tests on real environment overcame those on virtual, with both benchmarks. The impact of the live migration in the services was evident, proving to be more effective on real machines than on virtual machines. We found the DB service accommodated better to the virtual environment and to migration than Web service. We also considered an environment with multiple migrations which presented a higher degradation than when only one migration is performed.
引用
收藏
页码:291 / 320
页数:30
相关论文
共 21 条
[1]  
[Anonymous], 2007, PERF COMP COMM HYP X
[2]  
Bobák M, 2016, COMPUT INFORM, V35, P1359
[3]   Dynamic Server Cluster Load Balancing in Virtualization Environment with OpenFlow [J].
Chen, Wenbo ;
Shang, Zhihao ;
Tian, Xinning ;
Li, Hui .
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2015,
[4]   Performance Metrics of Virtual Machine Live Migration [J].
Galloway, Michael ;
Loewen, Gabriel ;
Vrbsky, Susan .
2015 IEEE 8TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, 2015, :637-644
[5]  
Hollander M., 2013, Nonparametric statistical methods, V751
[6]   Improving server utilization using fast virtual machine migration [J].
Isci, C. ;
Liu, J. ;
Abali, B. ;
Kephart, J. O. ;
Kouloheris, J. .
IBM JOURNAL OF RESEARCH AND DEVELOPMENT, 2011, 55 (06)
[7]  
Jain R., 1991, The Art of Computer Systems Performance Analysis
[8]   Resource management model based on cloud computing environment [J].
Kim, Ahyoung ;
Lee, Junwoo ;
Kim, Mucheol .
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2016, 12 (11)
[9]   Performance Overhead Among Three Hypervisors: An Experimental Study using Hadoop Benchmarks [J].
Li, Jack ;
Wang, Qingyang ;
Jayasinghe, Deepal ;
Park, Junhee ;
Zhu, Tao ;
Pu, Calton .
2013 IEEE INTERNATIONAL CONGRESS ON BIG DATA, 2013, :9-16
[10]  
Magalhaes D. V., 2011, 29 SBRC, P235