Guillermo A. Alvarez, John Wilkes, Elizabeth Borowsky, Susie Go, Theodore H. Romer, Ralph Becker-Szendy, Richard Golding, Arif Merchant, Mirjana Spasojevic, and Alistair Veitch. Minerva: an automated resource provisioning tool for large-scale storage systems. ACM Transactions on Computer Systems, 19(4):483--518. ACM, November 2001. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
First 50 documents
A Human Organization Analogy for Self-* Systems - Strunk, Ganger (2003) (Correct)
....can be derived from various business and insurance costs (related to risk management) but the proper way to set performance targets is a different problem. Workload characterization [4, 8] can provide a first estimate of performance requirements and can even be used to guide storage system design [2, 3], but further tuning by the administrator will be necessary. Providing an easy to use interface for this refinement is a necessity. We believe that using a system of complaints from the administrator can provide just such a mechanism. Complaint based tuning will use complaints about the ....
Guillermo A. Alvarez, Elizabeth Borowsky, Susie Go, Theodore H. Romer, Ralph Becker-Szendy, Richard Golding, Arif Merchant, Mirjana Spasojevic, Alistair Veitch, and John Wilkes. Minerva: An automated resource provisioning tool for large-scale storage systems. ACM Transactions on Computer Systems, 19(4):483--518. ACM Press, November 2001.
Evaluation of Object Placement Techniques in a.. - Goyal, Radkov, Shenoy (Correct)
....allocation decisions. Thus, wide striping may be easier to use from the perspective of storage applications, while narrow striped systems may make potentially better storage decisions and yield better performance. Although placement of objects in large storage systems have been extensively studied [3, 4, 5, 21], surprisingly, no systematic study of these tradeoffs of wide and narrow striping exists in the literature. This is the focus of the present work. Our work seeks to address the following questions: How much (and what) information about the workload is necessary for a policy managed system to ....
....example, a database application may request 15GB of storage space optimized for I O throughput; similarly, a file system may request a certain amount of storage space and specify a certain response time requirement. We will refer to the storage allocated in response to such requests as a store [3]; the data on a store is collectively referred to as a data object (e.g. a database, a file system) The sequence of requests accessing a store is referred to as a request stream. Thus, we are concerned with the storage allocation problem at the granularity of stores and data objects; we are ....
[Article contains additional citation context not shown here]
G. Alvarez, E. Borowsky, S. Go, T. Romer, R. Becker-Szendy, R. Golding, A. Merchant, M. Spasojevic, A. Veitch, and J. Wilkes. Minerva: An Automated Resource Provisioning Tool for Large-scale Storage Systems. ACM Transactions on Computer Systems (to appear), 2002.
A Practical Learning-based Approach for Dynamic Storage.. - Sundaram, Shenoy (2003) (3 citations) (Correct)
.... and adaptive resource management for data intensive network services has been studied in [9] The design of highly dependable ( selfhealing ) Internet services has been studied [14] From the perspective of storage systems, techniques for designing self managing storage have been studied in [2, 4]. The design of such systems involves several sub tasks and issues such self configuration [2, 4] capacity planning [8] automatic RAID level selection [5] initial storage system configuration [3] SAN fabric design [21] and on line data migration [12] have been studied. These efforts are ....
.... The design of highly dependable ( selfhealing ) Internet services has been studied [14] From the perspective of storage systems, techniques for designing self managing storage have been studied in [2, 4] The design of such systems involves several sub tasks and issues such self configuration [2, 4] , capacity planning [8] automatic RAID level selection [5] initial storage system configuration [3] SAN fabric design [21] and on line data migration [12] have been studied. These efforts are complementary to our work which focuses on automatic storage bandwidth allocation to applications with ....
Guillermo A. Alvarez, Elizabeth Borowsky, Susie Go, Theodore H. Romer, Ralph Becker-Szendy, Richard Golding, Arif Merchant, Mirjana Spasojevic, Alistair Veitch, and John Wilkes. Minerva: an automated resource provisioning tool for large-scale storage systems. ACM Transactions on Computer Systems(to appear). Technical report HPL-2001-139, Hewlett-Packard Labs, June 2001.
A Human Organization Analogy for Self-* Systems - Strunk, Ganger (2003) (Correct)
....and insurance costs (related to risk management) but the proper way to set performance targets is a different problem. Workload characterization can provide a first estimate of performance requirements (when replacing an existing system) and can even be used to guide storage system design [2, 3], but further tuning by the administrator will be necessary. Providing an easy to use interface for this refinement is a necessity. We believe that using a system of complaints from the administrator can provide just such an interface. Complaint based tuning will use complaints about the ....
G. A. Alvarez, E. Borowsky, S. Go, T. H. Romer, R. Becker-Szendy, R. Golding, A. Merchant, M. Spasojevic, A. Veitch, and J. Wilkes. Minerva: An automated resource provisioning tool for large-scale storage systems. ACM Transactions on Computer Systems, 19(4):483--518. ACM Press, November 2001.
Automating Data Dependability - Kimberly Keeton And (2002) (14 citations) (Correct)
....the system, and adapt its implementation to unexpected changes such as increased failure rates for a component, get the storage system to do it. Figure 1 illustrates this automatic goal directed design process. We have successfully applied this methodology to performance related storage goals [1, 2, 3]. We believe the time is right to extend it to dependability. In particular, we concentrate on the reliability (whether the system discards, loses or corrupts data) and performability (whether the data can be accessed at a particular performance level at a given time) aspects of dependability ....
....storage design system The storage design system is a suite of tools that chooses (or, initially, assists with choosing) data protection techniques that meet the specified goals. We view the problem as an optimization one, by analogy to our earlier work on storage system design for performance [1, 3]. We envision a solution including the following tools: user interrogation tool: a graphical user interface (GUI) that asks users what they want, and then maps their intuitively specified goals into a quantitative specification. This tool removes the need for users to supply reams of ....
[Article contains additional citation context not shown here]
G. Alvarez, et al. "Minerva: an automated resource provisioning tool for large-scale storage systems," ACM Transactions on Computer Systems , 19(4):483-518, November 2001.
Performance Modeling of Storage Devices Using Machine Learning - Wang (2006) Self-citation (Wilkes) (Correct)
No context found.
Guillermo A. Alvarez, Elizabeth Borowsky, Susie Go, Theodore H. Romer, Ralph Becker-Szendy, Richard Golding, Arif Merchant, Mirjana Spasojevic, Alistair Veitch, and John Wilkes. Minerva: An automated resource provisioning tool for large-scale storage systems. ACM Transactions on Computer Systems (TOCS), 19(4):483--518, November 2001.
CHAMELEON: a self-evolving, fully-adaptive.. - Uttamchandani.. Self-citation (Alvarez) (Correct)
No context found.
Guillermo A. Alvarez, Elizabeth Borowsky, Susie Go, Theodore H. Romer, Ralph BeckerSzendy, Richard Golding, Arif Merchant, Mirjana Spasojevic, Alistair Veitch, and John Wilkes. Minerva: An automated resource provisioning tool for large-scale storage systems. ACM Transactions on Computer Systems, 19(4):483-- 518, 2001.
DecisionQoS: an adaptive, self-evolving QoS.. - Uttamchandani.. Self-citation (Alvarez) (Correct)
No context found.
G.A. Alvarez, E. Borowsky, S. Go, T. Romer, R. BeckerSzendy, R. Golding, A. Merchant, M. Spasojevic, A. Veitch, and J. Wilkes. Minerva: An automated resource provisioning tool for large-scale storage systems. ACM Transactions on Computer Systems, 19(4):483--518, November 2001.
Designing for Disasters - Kimberly Keeton Cipriano (2004) (2 citations) Self-citation (Wilkes) (Correct)
No context found.
G. A. Alvarez, E. Borowsky, S. Go, T. H. Romer, R. Becker-Szendy, R. Golding, and J. Wilkes. Minerva: an automated resource provisioning tool for largescale storage systems. ACM Transactions on Computer Systems 19(4):483--518, November 2001.
An Analytical Performance Model of Disk Arrays under.. - Varki, Merchant, Qiu Self-citation (Merchant) (Correct)
No context found.
G.A. Alvarez, E. Borowsky, S. Go, T. H. Romer, R. Becker-Szendy, R. Golding, A. Merchant, M. Spasojevic, A. Veitch, and J. Wilkes. Minerva: An automated resource provisioning tool for large-scale storage systems. ACM Transactions on Computer Systems, 19(4):483--518, November 2001. 19
Issues and Challenges in the Performance Analysis of Real .. - Varki, Merchant, Xu, Qiu (2004) (4 citations) Self-citation (Merchant) (Correct)
No context found.
G.A. Alvarez, E. Borowsky, S. Go, T.H. Romer, R. Becker-Szendy, R. Golding, A. Merchant, M. Spasojevic, A. Veitch, and J. Wilkes, "Minerva: An Automated Resource Provisioning Tool for LargeScale Storage Systems," ACM Trans. Computer Systems, vol. 19, no. 4, pp. 483-518, Nov. 2001.
Automatic Design of Dependable Data Storage Systems - Kimberly Keeton And (2003) (2 citations) Self-citation (Wilkes) (Correct)
No context found.
G. A. Alvarez, E. Borowsky, S. Go, T. H. Romer, R. Becker-Szendy, R. Golding, and J. Wilkes. Minerva: an automated resource provisioning tool for large-scale storage systems. ACM Transactions on Computer Systems19(4):483--518, November 2001.
The Rubicon workload characterization tool - Veitch, Keeton (2001) (2 citations) Self-citation (Veitch) (Correct)
No context found.
G. Alvarez, E. Borowsky, S. Go, T. Romer, R. Becker-Szendy, R. Golding, A. Merchant, M. Spasojevic, A. Veitch and J. Wilkes. Minerva: an automated resource provisioning tool for large-scale storage systems. submitted for publication.
Facade: Virtual Storage Devices With Performance Guarantees - Lumb, Merchant, Alvarez (2003) (5 citations) Self-citation (Merchant) (Correct)
....implied by protocols originally designed to provide best effort service. One approach commonly followed to ensure performance isolation is to overprovision to the point that performance is no longer an issue. The resulting system can easily be twice as expensive as a correctly designed system [1, 20] a substantial difference for hardware and management costs in the order of millions of dollars. Another alter native is to assign separate physical resources (e.g. separate arrays) to different customers. This inflexible solution is impractical for a heterogeneous system that contains a ....
....devices in a storage area network, including SANsymphony from DataCore Software [19] lPstore from FalconStor software [ 16] and the StorageApps sv3000 virtualization appliance [ 14] none of them, however, provide performance guarantees for applications. Automatic system design tools like Minerva [1] and Hippodrome [2] build systems that satisfy declarative, user specified QoS requirements. They effectively minimize overprovisioning by taking into account workload correlations and detailed de vice capabilities to design device configuration and data layouts. The whole storage system may be ....
G.A. Alvarez, E. Borowsky, S. Go, T. Romer, R. BeckerSzendy, R. Golding, A. Merchant, M. Spasojevic, A. Veitch, and J. Wilkes. Minerva: an automated re- source provisioning tool for large-scale storage systems. ACM Transactions on Computer Systems, 19(4):483 518, November 2001.
Modeling the Relative Fitness of Storage Devices - Michael Mesnier Intel (Correct)
No context found.
Guillermo A. Alvarez, John Wilkes, Elizabeth Borowsky, Susie Go, Theodore H. Romer, Ralph Becker-Szendy, Richard Golding, Arif Merchant, Mirjana Spasojevic, and Alistair Veitch. Minerva: an automated resource provisioning tool for large-scale storage systems. ACM Transactions on Computer Systems, 19(4):483--518. ACM, November 2001.
Modeling the Relative Fitness of Storage Devices - Michael Mesnier Intel (Correct)
No context found.
Guillermo A. Alvarez, John Wilkes, Elizabeth Borowsky, Susie Go, Theodore H. Romer, Ralph Becker-Szendy, Richard Golding, Arif Merchant, Mirjana Spasojevic, and Alistair Veitch. Minerva: an automated resource provisioning tool for large-scale storage systems. ACM Transactions on Computer Systems, 19(4):483--518. ACM, November 2001.
Scheduling with QoS in Parallel I/O systems - Gulati, Varman (2004) (Correct)
No context found.
G. A. Alvarez and et al. Minerva: an automated resource provisioning tool for large-scale storage systems. In ACM Transactions on Computer Systems, pages 483--518, November 2001.
Inducing Models of Black-Box Storage Arrays - Terence Kelly Ira (2004) (1 citation) (Correct)
No context found.
G. A. Alvarez, E. Borowsky, S. Go, T. H. Romer, R. Becker-Szendy, R. Golding, A. Merchant, M. Spasojevic, A. Veitch, and J. Wilkes. Minerva: an automated resource provisioning tool for large-scale storage systems. ACM Transactions on Computer Systems, 19(4):483--518, Nov. 2001.
A Practical Learning-Based Approach for Dynamic Storage.. - Sundaram, Shenoy (2003) (3 citations) (Correct)
No context found.
G. A. Alvarez et al. Minerva: An Automated Resource Provisioning Tool for Large-scale Storage Systems. ACM Transactions on Computer Systems(to appear). Technical report HPL2001 -139, Hewlett-Packard Labs, June 2001.
Evaluation of Object Placement Techniques in a - Policy-Managed Storage System (Correct)
No context found.
G. Alvarez, E. Borowsky, S. Go, T. Romer, R. Becker-Szendy, R. Golding, A. Merchant, M. Spasojevic, A. Veitch, and J. Wilkes. Minerva: An automated resource provisioning tool for large-scale storage systems. ACM Transactions on Computer Systems, 2002.
Application-Centric Integrated Storage Management - Anderson Kallahalla Keeton (Correct)
No context found.
G. A. Alvarez, E. Borowsky, S. Go, T. H. Romer, R. Becker-Szendy, R. Golding, A. Merchant, M. Spasojevic, A. Veitch, and J. Wilkes. Minerva: an automated resource provisioning tool for large-scale storage systems. ACM Transactions on Computer Systems, 19(4):483--518, November 2001.
Quick Performance Bounds for Computer and Storage Systems.. - Varki, Dowdy, Zhang (Correct)
No context found.
G. A. Alvarez, E. Borowsky, S. Go, T. H. Romer, R. Becker-Szendy, R. Golding, A. Merchant, M. Spasojevic, A. Veitch, J. Wilkes, "MINERVA: An automated resource provisioning tool for large-scale storage systems", to appear in ACM Transactions on Computer Systems.
Self-* Storage: Brick-based storage with automated.. - Ganger, Strunk, Klosterman (2003) (Correct)
No context found.
Guillermo A. Alvarez, John Wilkes, Elizabeth Borowsky, Susie Go, Theodore H. Romer, Ralph Becker-Szendy, Richard Golding, Arif Merchant, Mirjana Spasojevic, and Alistair Veitch. Minerva: an automated resource provisioning tool for large-scale storage systems. ACM Transactions on Computer Systems, 19(4):483--518. ACM, November 2001.
Multi-Dimensional Storage Virtualization - Huang, Peng, Chiueh (2004) (1 citation) (Correct)
No context found.
G. Alvarez, E. Borowsky, S. Go, T. Romer, R. BeckerSzendy, R. Golding, A. Merchant, M. Spasojevic, A. Veitch, and J. Wilkes. Minerva: an automated resource provisioning tool for large-scale storage systems. ACM Transactions on Computer Systems, 2001.
Self-* Storage: Brick-based storage with automated.. - Ganger, Strunk, Klosterman (2003) (Correct)
No context found.
G. A. Alvarez, J. Wilkes, E. Borowsky, S. Go, T. H. Romer, R. Becker-Szendy, R. Golding, A. Merchant, M. Spasojevic, and A. Veitch. Minerva: an automated resource provisioning tool for large-scale storage systems. ACM Transactions on Computer Systems, 19(4):483--518. ACM, November 2001.
First 50 documents
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC