RESEARCH PROJECTS IN AUTONOMIC COMPUTING

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RESEARCH PROJECTS IN AUTONOMIC COMPUTING

Listed below are a selection of brief descriptions of and links to some of the projects underway at IBM. These projects are at different stages of development or progress. Some of them have already appeared in products. Some are just beginning. This list of projects will grow as new areas of research emerge. Check the main IBM research Web page regularly for updates and new projects announced.

Gryphon: Pub/Sub (Middleware)

This middleware for Publish/Subscribe is used to distribute large volumes of data/content in real time to thousands of clients distributed throughout a large "public" network, such as a wide area extranet or intranet that is too large or complex to be centrally administered to support specific applications.

Gryphon has already been tested and deployed over the Internet for real-time sports score distribution at the U.S. Open, and Australian Open in tennis and Ryder Cup in golf, and for monitoring and statistics reporting at the Sydney Olympics.

See www.research.ibm.com/gryphon/ for additional information.

HWLM: Heterogeneous WorkLoad Management (Total System)

Workload management, a function of the IBM OS/390 operating system base control program, allows installations to define business objectives for a clustered environment (Parallel Sysplex in IBM OS/390). This business policy is expressed in terms that relate to business goals and importance, rather than the internal controls used by the operating system. The IBM OS/390 ensures that system resources are assigned to achieve the specified business objectives.

See www.research.ibm.com/journal/sj/362/aman.html for additional information.

LEO: DB2's Learning Optimizer

LEO is a comprehensive way to repair incorrect statistics and cardinality estimates from a query execution plan (QEP). By monitoring previously executed queries, LEO compares the optimizer's estimates with actuals at each step in a QEP and computes adjustments to cost estimates and statistics that may be used during future query optimizations.

In practice, LEO actually learns from its past mistakes—i.e., accelerating, sometimes drastically, future executions of similar queries—while incurring a negligible monitoring overhead on query compilation and execution.

See http://www.research.ibm.com/ for additional information.

SMART: Self-Managing and Resource Tuning DB2 (Middleware)

IBM will be building a SMART (Self-Managing and Resource Tuning) database into upcoming versions of DB2. This database is designed to reduce the human intervention needed to run and maintain a database. For example, the user can opt not to be involved and the database will automatically detect failures when they occur (and correct them). The database will also configure itself by installing operating systems and data automatically to cope with the changing demands of e-business and the Internet.

The long-term vision is to offer customers the option of preventative maintenance or zero administration/zero maintenance to reduce the total cost of ownership. LEO is one look at the future of "SMART" databases and how they will operate more effectively.

See www.research.ibm.com/autonomic/academic/research.html for additional information.

Storage Tank

Storage Tank is a new file system for storage area networks that is being developed at the IBM Almaden Research lab, located in Silicon Valley in California. Major features of this system include heterogeneous file sharing, policy-based file and storage management, high performance, and scalability. This technology is currently used in IBM's Tivoli's Storage Manager product.

See www.almaden.ibm.com/ for additional information.

UFiler: Facilitating Enterprise File Access/Sharing

IBM developed and demonstrated the first Web-based enterprise file system solution with the UFiler project. This solution facilitates access and sharing of files that can be geographically distributed over an entire enterprise or the Internet. It allows access to files anytime and anywhere, and files are protected through fine-grained access-control lists. UFiler desktop clients allow applications to access files stored in UFiler as if they were on a local disk. WebDAV integration is prototyped to allow Windows users to access their UFiler files through WebFolder and other WebDAV-enabled applications such as Office 2000. UFiler's automated backup ensures the integrity of user data. Currently UFiler supports AFS and allows existing AFS users to benefit from UFiler's browser interface. Other file systems, such as CIFS or NFS, will be added when they get deployed within IBM on an enterprise scale. UFiler's back-end design includes SAN-based server clustering. Failover and load balancing among servers can be achieved without moving data

See www.research.ibm.com/autonomic/academic/research.html for additional information.

Amazon


Autonomic Computing
Autonomic Computing
ISBN: 013144025X
EAN: 2147483647
Year: 2004
Pages: 254
Authors: Richard Murch

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