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top of pageABSTRACT

Exponential growth in storage requirements and an increasing number of heterogeneous devices and application policies are making enterprise storage management a nightmare for administrators. Back-of-the-envelope calculations, rules of thumb, and manual correlation of individual device data are too error prone for the day-to-day administrative tasks of resource provisioning, problem determination, performance management, and impact analysis. Storage management tools have evolved over the past several years from standardizing the data reported by storage subsystems to providing intelligent planners. In this paper, we describe that evolution in the context of the IBM Total Storage® Productivity Center (TPC)--a suite of tools to assist administrators in the day-to-day tasks of monitoring, configuring, provisioning, managing change, analyzing configuration, managing performance, and determining problems. We describe our ongoing research to develop ways to simplify and automate these tasks by applying advanced analytics on the performance statistics and raw configuration and event data collected by TPC using the popular Storage Management Initiative-Specification (SMI-S). In addition, we provide details of SMART (storage management analytics and reasoning technology) as a library that provides a collection of data-aggregation functions and optimization algorithms.

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top of pageAUTHORS



Author image not provided  S. Gopisetty

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Author image not provided  S. Agarwala

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Publication years2003-2011
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Author image not provided  E. Butler

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Author image not provided  D. Jadav

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Author image not provided  S. Jaquet

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Author image not provided  M. Korupolu

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Author image not provided  R. Routray

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Author image not provided  P. Sarkar

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Author image not provided  A. Singh

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Author image not provided  M. Sivan-Zimet

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Author image not provided  C.-H. Tan

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Author image not provided  S. Uttamchandani

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Author image not provided  D. Merbach

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Author image not provided  S. Padbidri

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Author image not provided  A. Dieberger

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Author image not provided  E. M. Haber

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Author image not provided  E. Kandogan

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Author image not provided  C. A. Kieliszewski

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Author image not provided  D. Agrawal

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Author image not provided  M. Devarakonda

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Author image not provided  K.-W. Lee

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Author image not provided  K. Magoutis

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Author image not provided  D. C. Verma

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Author image not provided  N. G. Vogl

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top of pageREFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
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48

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top of pagePUBLICATION

Title IBM Journal of Research and Development table of contents archive
Volume 52 Issue 4, July 2008
Pages 341-352
Publication Date2008-07-01 (yyyy-mm-dd)
PublisherIBM Corp. Riverton, NJ, USA
ISSN: 0018-8646 doi>10.1147/rd.524.0341

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top of pageTable of Contents

IBM Journal of Research and Development

Volume 52 Issue 4, July 2008

Table of Contents
Preface
Dilip D. Kandlur, Chandrasekhar Narayan
Pages: 317-318
doi>10.1147/rd.524.0317
IBM scale out file services: reinventing network-attached storage
S. Oehme, J. Deicke, J.-P. Akelbein, R. Sahlberg, A. Tridgell, R. L. Haskin
Pages: 319-328
doi>10.1147/rd.524.0319

This paper focuses on the challenges of creating a scalable network-attached storage (NAS) filer with hundreds of nodes on top of the IBM General Parallel File System™ (GPFS™). The filer is created as a multiheaded data exporter over Ethernet ...
expand
Glamor: an architecture for file system federation
U. Lanjewar, M. Naik, R. Tewari
Pages: 329-339
doi>10.1147/rd.524.0329

We present the design and implementation of Glamor, a framework for building a wide-area federated file system. Glamor enables distributed file access across enterprise-wide or Internet-scale networks where users can seamlessly navigate through data ...
expand
Evolution of storage management: transforming raw data into information
S. Gopisetty, S. Agarwala, E. Butler, D. Jadav, S. Jaquet, M. Korupolu, R. Routray, P. Sarkar, A. Singh, M. Sivan-Zimet, C.-H. Tan, S. Uttamchandani, D. Merbach, S. Padbidri, A. Dieberger, E. M. Haber, E. Kandogan, C. A. Kieliszewski, D. Agrawal, M. Devarakonda, K.-W. Lee, K. Magoutis, D. C. Verma, N. G. Vogl
Pages: 341-352
doi>10.1147/rd.524.0341

Exponential growth in storage requirements and an increasing number of heterogeneous devices and application policies are making enterprise storage management a nightmare for administrators. Back-of-the-envelope calculations, rules of thumb, and manual ...
expand
Automated planners for storage provisioning and disaster recovery
S. Gopisetty, E. Butler, S. Jaquet, M. Korupolu, T. K. Nayak, R. Routray, M. Seaman, A. Singh, C.-H. Tan, S. Uttamchandani, A. Verma
Pages: 353-365
doi>10.1147/rd.524.0353

Introducing an application into a data center involves complex interrelated decision-making for the placement of data (where to store it) and resiliency in the event of a disaster (how to protect it). Automated planners can assist administrators in making ...
expand
Galapagos: model-driven discovery of end-to-end application-storage relationships in distributed systems
K. Magoutis, M. Devarakonda, N. Joukov, N. G. Vogl
Pages: 367-377
doi>10.1147/rd.524.0367

Modern business information systems are typically multitiered distributed systems comprising Web services, application services, databases, enterprise information systems, file systems, storage controllers, and other storage systems. In such environments, ...
expand
Archive storage system design for long-term storage of massive amounts of data
P. L. Bradshaw, K. W. Brannon, T. Clark, K. Dahman, S. Doraiswamy, L. Duyanovich, B. L. Hillsberg, W. Hineman, M. Kaczmarski, B. J. Klingenberg, X. Ma, R. Rees
Pages: 379-388
doi>10.1147/rd.524.0379

A dramatic shift is underway in how organizations use computer storage. This shift will have a profound impact on storage system design. The requirement for storage of traditional transactional data is being supplemented by the necessity to store information ...
expand
Preservation DataStores: new storage paradigm for preservation environments
S. Rabinovici-Cohen, M. E. Factor, D. Naor, L. Ramati, P. Reshef, S. Ronen, J. Satran, D. L. Giaretta
Pages: 389-399
doi>10.1147/rd.524.0389

As the world becomes digital, we are in ever greater danger of losing business, scientific, artistic, cultural, and personal assets. The threat of such a digital dark age stems from the fact that-- unlike physical records that may survive decades, centuries, ...
expand
The ANSI T10 object-based storage standard and current implementations
D. Nagle, M. E. Factor, S. Iren, D. Naor, E. Riedel, O. Rodeh, J. Satran
Pages: 401-411
doi>10.1147/rd.524.0401

Object-based storage is the natural evolution of the block storage interface, aimed at efficiently and effectively meeting the performance, reliability, security, and service requirements demanded by current and future applications. The object-based ...
expand
Undetected disk errors in RAID arrays
J. L. Hafner, V. Deenadhayalan, W. Belluomini, K. Rao
Pages: 413-425
doi>10.1147/rd.524.0413

Though remarkably reliable, disk drives do fail occasionally. Most failures can be detected immediately; moreover, such, failures can be modeled and addressed using technologies such as RAID (Redundant Arrays of Independent Disks). Unfortunately, disk ...
expand
An architecture for storage-hosted application extensions
D. Chambliss, P. Pandey, T. Thakur, A. Fleshler, T. Clark, J. A. Ruddy, K. D. Gougherty, M. Kalos, L. Merithew, J. G. Thompson, H. M. Yudenfriend
Pages: 427-437
doi>10.1147/rd.524.0427

The very rapid growth of data-intensive computing makes it attractive to perform computations locally, where data is stored. Large storage systems based on standard system technologies with server virtualization capabilities make it feasible to deploy ...
expand
Storage-class memory: the next storage system technology
R. F. Freitas, W. W. Wilcke
Pages: 439-447
doi>10.1147/rd.524.0439

The dream of replacing rotating mechanical storage, the disk drive, with solid-state, nonvolatile RAM may become a reality in the near future. Approximately ten new technologies--collectively called storage-class memory (SCM)--are currently under development ...
expand
Overview of candidate device technologies for storage-class memory
G. W. Burr, B. N. Kurdi, J. C. Scott, C. H. Lam, K. Gopalakrishnan, R. S. Shenoy
Pages: 449-464
doi>10.1147/rd.524.0449

Storage-class memory (SCM) combines the benefits of a solid-state memory, such as high performance and robustness, with the archival capabilities and low cost of conventional hard-disk magnetic storage. Such a device would require a solid-state nonvolatile ...
expand
Phase-change random access memory: a scalable technology
S. Raoux, G. W. Burr, M. J. Breitwisch, C. T. Rettner, Y.-C. Chen, R. M. Shelby, M. Salinga, D. Krebs, S.-H. Chen, H.-L. Lung, C. H. Lam
Pages: 465-479
doi>10.1147/rd.524.0465

Nonvolatile RAM using resistance contrast in phase-change materials [or phase-change RAM (PCRAM)] is a promising technology for future storage-class memory. However, such a technology can succeed only if it can scale smaller in size, given the increasingly ...
expand
Transition-metal-oxide-based resistance-change memories
S. F. Karg, G. I. Meijer, J. G. Bednorz, C. T. Rettner, A. G. Schrott, E. A. Joseph, C. H. Lam, M. Janousch, U. Staub, F. La Mattina, S. F. Alvarado, D. Widmer, R. Stutz, U. Drechsler, D. Caimi
Pages: 481-492
doi>10.1147/rd.524.0481

We provide a status report on the development of perovskite-based transition-metal-oxide resistance-change memories. We focus on bipolar resistance switching observed in Cr-doped SrTiO3 memory cells with dimensions ranging from bulk single ...
expand
Probe-based ultrahigh-density storage technology
A. Pantazi, A. Sebastian, T. A. Antonakopoulos, P. Bächtold, A. R. Bonaccio, J. Bonan, G. Cherubini, M. Despont, R. A. DiPietro, U. Drechsler, U. Dürig, B. Gotsmann, W. Häberle, C. Hagleitner, J. L. Hedrick, D. Jubin, A. Knoll, M. A. Lantz, J. Pentarakis, H. Pozidis, R. C. Pratt, H. Rothuizen, R. Stutz, M. varsamou, D. Wiesmann, E. Eleftheriou
Pages: 493-511
doi>10.1147/rd.524.0493

Ultrahigh storage densities can be achieved by using a thermomechanical scanning-probe-based data-storage approach to write, read back, and erase data in very thin polymer films. High data rates are achieved by parallel operation of large two-dimensional ...
expand
Scaling tape-recording areal densities to 100 Gb/in 2
A. J. Argumedo, D. Berman, R. G. Biskeborn, G. Cherubini, R. D. Cideciyan, E. Eleftheriou, W. Häberle, D. J. Hellman, R. Hutchins, W. Imaino, J. Jelitto, K. Judd, P.-O. Jubert, M. A. Lantz, G. M. McClelland, T. Mittelholzer, C. Narayan, S. Ölçer, P. J. Seger
Pages: 513-527
doi>10.1147/rd.524.0513

We examine the issue of scaling magnetic tape-recording to higher areal densities, focusing on the challenges of achieving 100 Gb/in2 in the linear tape format. The current highest achieved areal density demonstrations of 6.7 Gb/in2 ...
expand
Flash memories: successes and challenges
S. K. Lai
Pages: 529-535
doi>10.1147/rd.524.0529

Flash memory grew from a simple concept in the early 1980s to a technology that generated close to $23 billion in worldwide revenue in 2007, and this represents one of the many success stories in the semiconductor industry. This success was made possible ...
expand

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