StorageMojo publisher TechnoQWAN’s crack analysts have been poring over the FAST ’14 papers. After much contention and more than a few retries they have achieved consensus.
There is so much good work presented at FAST that it seems unfair to pick just a few for mention. Readers are encouraged to decide for themselves. Papers should be available on the FAST web site sometime next week.
Automatic Identification of Application I/O Signatures from Noisy Server-Side Traces by Yang Liu, Raghul Gunasekaran, Xiaosong Ma and Sudharshan S. Vazhkudai.
Could this solve the the virtual machine I/O blender problem?
(Big)Data in a Virtualized World: Volume, Velocity, and Variety in Cloud Datacenters by Robert Birke, Mathias Björkqvist, Lydia Y. Chen, Evgenia Smirni and Ton Engbersen.
Analysis of a private cloud consisting of 8,000 physical boxes, hosting over 90,000 VMs using over 22 PB of storage to see how applications, CPU activity, growth, velocity, capacity and network demand interact. Nothing startling, but valuable work.
STAIR Codes: A General Family of Erasure Codes for Tolerating Device and Sector Failures in Practical Storage Systems by Mingqiang Li and Patrick P. C. Lee.
Advanced erasure codes are a major contributor to storage efficiency and robustness. This paper explores codes that take into account the correlated nature of block and device failures.
Evaluating Phase Change Memory for Enterprise Storage Systems: A Study of Caching and Tiering Approaches by Hyojun Kim, Sangeetha Seshadri, Clement L. Dickey and Lawrence Chiu.
StorageMojo liked this one so much it was featured on ZDNet and StorageMojo.
ViewBox: Integrating Local File Systems with Cloud Storage Services by Yupu Zhang, Chris Dragga, Andrea C. Arpaci-Dusseau and Remzi H. Arpaci-Dusseau.
Given the scale and cost advantages of cloud storage we want to use it everywhere we can, but it isn’t as safe as we want to believe. ViewBox attacks the problems of data corruption and data inconsistency between local and cloud storage.
Toward strong, usable access control for shared distributed data by Michelle L. Mazurek, Yuan Liang, William Melicher, Manya Sleeper, Lujo Bauer, Gregory R. Ganger, Nitin Gupta and Michael K. Reiter.
Even people who know something about computers find maintaining control over their online data difficult. The Penumbra distributed file system offers access controls designed to match user mental models for data classification and protection.
The StorageMojo take
The 25 papers to be presented at FAST 14 are all interesting. StorageMojo will be delving into more of them in the next few weeks.
Courteous comments welcome, of course. Thanks to Usenix for enabling StorageMojo to attend.