Paper Info
Title
SLA-DO: A SLA-Based Data Distribution Strategy on Multiple Cloud Storage Systems
Abstract
One of the major advantages of the cloud storage system is that it simplifies the time-consuming processes of hardware and software provisioning, deployment and distribution for users. Currently there is a tremendous increase in the scale of data generated as well as being consumed by applications on cloud storage systems, but besides availability metrics, few of cloud storage services provide data privacy guarantees in their Service Level Agreements (SLAs), which can be a major concern for the adoption of cloud storage services. The paper firstly proposes an analysis approach for the data privacy, then introduces privacy into the service quality, and defines a service quality evaluation model including privacy, availability, throughput, transfer time and operating cost. At last, a novel data distribution strategy called SLA-DO is presented. The comparison experiment results confirmed that SLA-DO strategy shows better performance in SLAs compliance, resource utilization, security guarantees and multiple cloud environmental adaptability than the data distribution policy adopted in HDFS and OpenStack.
Year
DOI
Venue
2016
10.1109/ICPADS.2016.0085
2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS)
Keywords
Field
DocType
cloud,SLAs,service quality,resource utilization,storage optimization,data distribution policy
Service level,Service quality,Computer science,Computer data storage,Provisioning,Cloud computing security,Information privacy,Database,Cloud storage,Distributed computing,Cloud computing
Conference
ISSN
ISBN
Citations 
1521-9097
978-1-5090-5382-7
0
PageRank 
References 
Authors
0.34
11
3
Name
Order
Citations
PageRank
Chang Guo111.38
Ying Li235145.93
Zhonghai Wu33412.36