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pro vyhledávání: '"Matthew Wachs"'
Autor:
Karan Sanghi, Garth A. Gibson, Michael Abd-El-Malek, Michael K. Reiter, James Cipar, Matthew Wachs, Gregory R. Ganger
Publikováno v:
ACM Transactions on Storage. 8:1-26
File system virtual appliances (FSVAs) address the portability headaches that plague file system (FS) developers. By packaging their FS implementation in a virtual machine (VM), separate from the VM that runs user applications, they can avoid the nee
Autor:
Brandon Salmon, Eno Thereska, Matthew Wachs, Julio Lopez, Gregory R. Ganger, Michael Abd-El-Malek, John D. Strunk
Publikováno v:
SIGMETRICS/Performance
Performance monitoring in most distributed systems provides minimal guidance for tuning, problem diagnosis, and decision making. Stardust is a monitoring infrastructure that replaces traditional performance counters with end-to-end traces of requests
Publikováno v:
ACM SIGMETRICS Performance Evaluation Review. 33:23-28
Relative fitness is a new black-box approach to modeling storage devices. Whereas conventional black-box models train to predict a device's performance given "device-independent" workload characteristics, relative fitness models learn to predict the
Publikováno v:
ASONAM
The increasing availability of dynamically growing digital data that can be used for extracting social networks has led to an upsurge of interest in the analysis of dynamic social networks. One key aspect of social network analysis is to understand t
Autor:
Matthew Wachs, Gregory R. Ganger
Workloads that share a storage system should achieve predictable, controllable performance despite the activities of other workloads. One desirable way of expressing performance goals is as bandwidth guarantees. Unfortunately, storage bandwidth is di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee3887a7d1dacbd4218df6877aa4371f
https://doi.org/10.21236/ada537344
https://doi.org/10.21236/ada537344
Autor:
Gregory R. Ganger, Matthew Wachs
Publikováno v:
SRDS
Disk time slicing is a promising technique for storage performance insulation. To work with cluster-based storage, however, time slices associated with striped data must be co-scheduled on the corresponding servers. This paper describes algorithms fo
Relative fitness is a new approach to modeling the performance of storage devices (e.g., disks and RAID arrays). In contrast to a conventional model, which predicts the performance of an application's I/O on a given device, a relative fitness model p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e833690854c4125344a2ced568b51cb
Autor:
James Cipar, Michael K. Reiter, Matthew Wachs, Michael Abd-El-Malek, Gregory R. Ganger, Garth A. Gibson
File system virtual appliances (FSVAs) address a major headache faced by third-party FS developers: OS version compatibility. By packaging their FS implementation in a VM, separate from the VM that runs user applications, they can avoid the need to p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88c714f626b1292a95e4fb2722f1e880
https://doi.org/10.21236/ada491071
https://doi.org/10.21236/ada491071
Publikováno v:
SIGMETRICS
Relative fitness is a new black-box approach to modeling the performance of storage devices. In contrast with an absolute model that predicts the performance of a workload on a given storage device, a relative fitness model predicts performance diffe