Fabric computing or unified computing involves constructing a computing fabric consisting of interconnected nodes that look like a "weave" or a "fabric" when viewed/envisaged collectively from a distance.
Usually the phrase refers to a consolidated high-performance computing system consisting of loosely coupled storage, networking and parallel processing functions linked by high bandwidth interconnects (such as 10 Gigabit Ethernet and InfiniBand) but the term has also been used[by whom?] to describe platforms like the Azure Services Platform and grid computing in general (where the common theme is interconnected nodes that appear as a single logical unit).
The fundamental components of fabrics are "nodes" (processor(s), memory, and/or peripherals) and "links" (functional connections between nodes). While the term "fabric" has also been used[by whom?] in association with storage area networks and with switched fabric networking, the introduction of compute resources provides a complete "unified" computing system. Other terms used to describe such fabrics include "unified fabric", "data center fabric" and "unified data center fabric".
Ian Foster, director of the Computation Institute at the Argonne National Laboratory and University of Chicago, quoted in 2007, suggested that "grid computing 'fabrics'" were "poised to become the underpinning for next-generation enterprise IT architectures and be used by a much greater part of many organizations".
While the term has been in use since the mid to late 1990s the growth of cloud computing and Cisco's evangelism of unified data center fabrics followed by unified computing (an evolutionary data center architecture whereby blade servers are integrated or unified with supporting network and storage infrastructure) starting March 2009 has renewed interest in the technology. Other companies offering unified or fabric computing systems include Liquid Computing Corporation and Egenera.
There have been mixed reactions to Cisco's architecture, particularly from rivals who claim that these proprietary systems will lock out other vendors. Analysts claim that this "ambitious new direction" is "a big risk" as companies like IBM and HP who have previously partnered with Cisco on data center projects (accounting for $2–3bn of Cisco's annual revenue) are now competing with them.
The main advantages of fabrics are that a massive concurrent processing combined with a huge, tightly-coupled address space makes it possible to solve huge computing problems (such as those presented by delivery of cloud computing services) and that they are both scalable and able to be dynamically reconfigured.
Challenges include a non-linearly degrading performance curve, whereby adding resources does not linearly increase performance which is a common problem with parallel computing and maintaining security.
- Cloud computing
- Converged Infrastructure
- Grid computing
- Parallel processing (including massive parallel processing and MPPAs)
- Shortest Path Bridging
- Compare: What Is: The Azure Fabric and the Development Fabric
- Massively distributed computing using computing fabrics
- Grid computing: The term may fade, but features will live on
- Unified Fabric: Benefits and Architecture of Virtual I/O
- Intel: Data Center Fabric
- DePompa, Barbara (2007-08-14). "Grid computing: Term may fade, but features will live on". Computerworld. Computerworld, Inc. Retrieved 2016-04-06.
According to Ian Foster, Director of the Computation Institute at the Argonne National Laboratory and University of Chicago, 'grid computing "fabrics" are now poised to become the underpinning for next-generation enterprise IT architectures and be used by a much greater part of many organizations.'
- Toolbox for IT: Data Center Fabric
- Switch maker introduces a 'Data Center Fabric' architecture
- Cisco: Unified Data Center Fabric: Reduce Costs and Improve
- "Cisco launches Unified Computing push with new blade server". ComputerWorld. 2009-03-16. Retrieved 2009-03-17.
- "Cisco to sell servers aimed at data centers". Reuters. 2009-03-16. Retrieved 2009-03-17.