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| Content Provider | ACM Digital Library |
|---|---|
| Author | Ahmad, Irfan Gulati, Ajay |
| Abstract | Deployment of shared storage systems is increasing with rapid adoption of virtualization technologies to provide flexible sharing, isolation, better management and high utilization of resources. Quality of service (QoS) in such environments is quite desirable for meeting IO demands of virtual machines. The lack of QoS support at typical storage arrays, simultaneous access by multiple hosts and concerns regarding under-utilization of resources makes this problem quite challenging. In this paper, we study the problem of providing fairness among hosts accessing a storage array in a distributed manner while maintaining high efficiency. Towards this goal, we investigate whether local latency estimates at each host can be used to detect overload and whether limiting host issue queue lengths can provide fairness across hosts. In principle, the approach is similar to mechanisms used by TCP at each host for flow control. Initial experiments and simulation results for control mechanism provide encouragement to develop a complete framework. |
| Starting Page | 10 |
| Ending Page | 16 |
| Page Count | 7 |
| File Format | |
| ISSN | 01635980 |
| DOI | 10.1145/1453775.1453779 |
| Journal | ACM SIGOPS Operating Systems Review (OPSR) |
| Volume Number | 42 |
| Issue Number | 6 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1975-04-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Io scheduling Flow control Disrtributed storage management |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Hardware and Architecture Information Systems |
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