Cloud autoscaling for HTTP/2 workloads

被引:0
作者
Calzarossa, Maria Carla [1 ]
Massari, Luisa [1 ]
Tabash, Momin I. M. [1 ]
Tessera, Daniele [2 ]
机构
[1] Univ Pavia, Dept Elect Comp & Biomed Engn, Via Ferrata 5, I-27100 Pavia, Italy
[2] Univ Cattolica Sacro Cuore, Dept Math & Phys, Via Musei 41, I-25121 Brescia, Italy
来源
PROCEEDINGS OF 2017 3RD INTERNATIONAL CONFERENCE OF CLOUD COMPUTING TECHNOLOGIES AND APPLICATIONS (CLOUDTECH) | 2017年
关键词
HTTP/2; Server push mechanism; Cloud computing; Autoscaling policies; CloudSim; Workload characterization; Web workload;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Cloud computing provides cost effective solutions for deploying services and applications. Even though resources can be provisioned on demand, they need to adapt quickly and in a seamless way to the workload intensity and characteristics and satisfy at the same time the desired performance levels and the corresponding SLAs. Autoscaling policies are devised for these purposes. In this paper, we apply a state-of-the-art reactive autoscaling policy to assess the effects of deploying the HTTP/2 server push mechanism in cloud environments. Our simulation experiments - that rely on extensions of the CloudSim toolkit have shown that the autoscaling mechanism is beneficial for web servers even though pushing a large number of objects might lead to server overload.
引用
收藏
页码:166 / 171
页数:6
相关论文
共 27 条
[1]  
Ali-Eldin A, 2012, IEEE IFIP NETW OPER, P204, DOI 10.1109/NOMS.2012.6211900
[2]  
[Anonymous], 2015, 7540 RFC
[3]  
[Anonymous], ACM Computing Surveys
[4]   Internet Web servers: Workload characterization and performance implications [J].
Arlitt, MF ;
Williamson, CL .
IEEE-ACM TRANSACTIONS ON NETWORKING, 1997, 5 (05) :631-645
[5]  
Belshe M., 2012, SPDY PROTOC IN PRESS
[6]  
Bouabdallah R, 2016, PROCEEDINGS OF 2016 IEEE 18TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS
[7]  
IEEE 14TH INTERNATIONAL CONFERENCE ON SMART CITY
[8]  
IEEE 2ND INTERNATIONAL CONFERENCE ON DATA SCIENCE AND SYSTEMS (HPCC/SMARTCITY/DSS), P1155, DOI [10.1109/HPCC-SmartCity-DSS.2016.0162, 10.1109/HPCC-SmartCity-DSS.2016.211]
[9]  
Butkiewicz M, 2011, P 2011 ACM SIGCOMM C, P313, DOI DOI 10.1145/2068816.2068846
[10]   CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms [J].
Calheiros, Rodrigo N. ;
Ranjan, Rajiv ;
Beloglazov, Anton ;
De Rose, Cesar A. F. ;
Buyya, Rajkumar .
SOFTWARE-PRACTICE & EXPERIENCE, 2011, 41 (01) :23-50