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D. Roselli, Characteristics of File System Workloads, Technical. Report, University of California, Berkeley, 1998.

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Clump: Improving File System Performance Through Adaptive.. - Eaton, Geels, Mori (1999)   (2 citations)  (Correct)

....the experiments. We have attempted to scale these sizes accordingly so that the cache hit rate falls in the range that is most often seen in the literature [11, 5] Simulation makes use of file system traces collected from machines in instructional labs at the University of California at Berkeley [19]. We had access to five consecutive days of the traces. Our simulations observed all open, close, read, write, and unlink system calls. The traces record, on average, 915,000 requests to open a file per day. Because the traces lacked full path information, simulation of a true directory based ....

D. Roselli and T. E. Anderson. Characteristics of file system workloads. unpublished.


Deciding when to forget in the Elephant file system - Santry, Feeley.. (1999)   (49 citations)  (Correct)

....types of data users store in a file system, the different ways they access this data, and how these factors impact the question of what sort of history information the file system should retain. The remainder of this section summarizes our observations taken from several UNIX file system traces [14, 3, 18]. 2.1 Not all files are created equal The first key observation is that a file system stores many different types of files that each require different levels of versioning. The following simplified taxonomy demonstrates these differences. ffl Read only files such as application executables, ....

Drew Roselli. Characteristics of file system workloads. Technical Report UCB//CSD-98-1029, Computer Science Division, University of California, Berkeley, 1998.


The Case for Efficient File Access Pattern Modeling - Kroeger (1996)   (17 citations)  (Correct)

....is little interleaving between various predictive sequences. Therefore, the need for the access window that the graphbased model uses does not exist in these traces. Additionally, as of this writing we are in the process of running the same tests on a set of traces taken recently at Berkeley [12]. These traces represent three workloads, research, instructional and web server, with activity rates ranging from 23 to 107 calls per second. Preliminary results from these traces confirm the results seen with the Coda traces, with no distinct difference between the various workloads. In addition ....

D. Roselli, "Characteristics of file system workloads," Technical Report CSD-98-1029, University of California, Berkeley, Dec. 23, 1998.


A Case for Buffer Servers - Anderson, Yocum, Chase (1999)   (3 citations)  Self-citation (Anderson)   (Correct)

....18] An early design for xFS [26] used clientbased caching to reduce network load for a wide area file system. In LANs, several studies of file workloads in academic environments have found that modest client caches absorb most read traffic, so hierarchical caching yields only a small read benefit [4, 21, 18], although the iAFS work found significant reductions in burstiness of writes at the backing servers [19] Our proposal uses caching as a storage service structuring alternative for environments that demand higher volume storage access enabled by newgeneration networks. It is perhaps most similar ....

....share of write traffic is short lived. Most updates are to non shared files, including temporary files, private long term storage, and paging traffic. Similar assumptions have justified a full range of file caching schemes, and have been validated by trace studies in conventional LAN environments [4, 21]. We add three new assumptions, based on recent technology trends. ffl In addition to allowing sharing of physical storage resources, the network is the fastest access path to I O. Even with disk bandwidths growing at 40 per year, leading edge networks historically deliver an order of magnitude ....

D. Roselli and T. Anderson. Characteristics of file system workloads. Technical Report CSD-98-1029, UC Berkeley, Department of Computer Science, Oct. 1998.


Self-Similarity in File Systems - Gribble, Manku, Brewer, Gibson.. (1998)   (17 citations)  Self-citation (Roselli)   (Correct)

....methods used to detect self similarity take into account many time scales (up to many hours) implies that the effects of such distortion are minimal. The third set of traces was collected on a cluster of twenty instructional UNIX workstations used by undergraduate classes at UC Berkeley [17]. These long term traces (referred to as the INS traces throughout the paper) were gathered by using the auditing system to log all system calls relevant to the file system on each workstation. Because the traces were collected on the client workstations, requests that are absorbed by the local ....

Roselli, D. Characteristics of file system workloads. Tech. rep., The University of California at Berkeley, 1998.


A Stochastic Approach to File Access Prediction - Paris, Amer, Long   (Correct)

No context found.

D. Roselli, Characteristics of File System Workloads, Technical. Report, University of California, Berkeley, 1998.


Data Placement For Copy-On-Write Using Virtual Contiguity - Peterson (2002)   (Correct)

No context found.

D. Roselli and T. E. Anderson. Characteristics of file system workloads. Research report, University of California, Berkeley, June 1996. 56


The Rubicon workload characterization tool - Veitch, Keeton (2001)   (2 citations)  (Correct)

No context found.

D. Roselli, Characteristics of file system workloads. Technical Report UCB//CSD-98-1029, Computer Science Division, University of California, Berkeley, 1998. 16


Allocation and Data Placement Using Virtual Contiguity - Randal Burns Robert   (Correct)

No context found.

D. Roselli and T. E. Anderson. Characteristics of file system workloads. Reserach report, University of California, Berkeley, June 1996.


Ext3cow: The Design, Implementation, and Analysis of Metadata .. - Peterson, Burns (2003)   (Correct)

No context found.

D. Roselli and T. E. Anderson. Characteristics of file system workloads. Research report, University of California, Berkeley, June 1996.


File Access Prediction with Adjustable Accuracy - Ahmed Amer Darrell (2002)   (9 citations)  (Correct)

No context found.

D. Roselli. Characteristics of file system workloads. Technical Report CSD-98-1029, University of California, Berkeley, Dec. 23, 1998.

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