TY  - JOUR
A1  - Peng, Junjie
A1  - Liu, Danxu
A1  - Wang, Yingtao
A1  - Zeng, Ying
A1  - Cheng, Feng
A1  - Zhang, Wenqiang
T1  - Weight-based strategy for an I/O-intensive application at a cloud data center
JF  - Concurrency and computation : practice & experience
N2  - Applications with different characteristics in the cloud may have different resources preferences. However, traditional resource allocation and scheduling strategies rarely take into account the characteristics of applications. Considering that an I/O-intensive application is a typical type of application and that frequent I/O accesses, especially small files randomly accessing the disk, may lead to an inefficient use of resources and reduce the quality of service (QoS) of applications, a weight allocation strategy is proposed based on the available resources that a physical server can provide as well as the characteristics of the applications. Using the weight obtained, a resource allocation and scheduling strategy is presented based on the specific application characteristics in the data center. Extensive experiments show that the strategy is correct and can guarantee a high concurrency of I/O per second (IOPS) in a cloud data center with high QoS. Additionally, the strategy can efficiently improve the utilization of the disk and resources of the data center without affecting the service quality of applications.
KW  - IOPS
KW  - process scheduling
KW  - random I
KW  - O
KW  - small files
KW  - weight
Y1  - 2018
U6  - https://doi.org/10.1002/cpe.4648
SN  - 1532-0626
SN  - 1532-0634
VL  - 30
IS  - 19
PB  - Wiley
CY  - Hoboken
ER  -