Name
Abstract | ||
|---|---|---|
Since security is of critical importance for modern storage systems, it is imperative to protect stored data from being tampered with or disclosed. Although an increasing number of secure storage systems have been developed, there is no way to dynamically choose security services to meet disk requests' flexible security requirements. Furthermore, existing security techniques for disk systems are not suitable to guarantee desired response times of disk requests. We remedy this situation by proposing an adaptive strategy (referred to as AWARDS) that can judiciously select the most appropriate security service for each write request, while endeavoring to guarantee the desired response times of all disk requests. To prove the efficiency of the proposed approach, we build an analytical model to measure the probability that a disk request is completed before its desired response time. The model also can be used to derive the expected value of disk requests' security levels. Empirical results based on synthetic workloads as well as real I/O-intensive applications show that AWARDS significantly improves overall performance over an existing scheme by up to 358.9% (with an average of 213.4%). |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1145/1210596.1210598 | TOS |
Keywords | Field | DocType |
response time,general terms: security,security level,analytical model,existing scheme,local disk system,local disk,existing security technique,desired response time,appropriate security service,disk system,security service,data-intensive ap- plications,theory additional key words and phrases: quality of security,write-intensive workloads,disk request,performance,flexible security requirement,storage system | Security testing,Security level,Computer science,Disk encryption hardware,Response time,Security service,Real-time computing,Computer security model,Distributed computing | Journal |
Volume | Issue | Citations |
2 | 4 | 9 |
PageRank | References | Authors |
0.52 | 26 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mais Nijim | 1 | 144 | 14.08 |
| Xiao Qin | 2 | 1836 | 125.69 |
| Tao Xie | 3 | 5978 | 304.97 |