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Gluster: History, Art, Technology & Companies
Gluster Inc. (formerly known as Z RESEARCH) was a software company that provided an open source platform for scale-out public and private cloud storage. The company was privately funded and headquartered in Sunnyvale, California, with an engineering center in Bangalore, India. Gluster was funded by Nexus Venture Partners and Index Ventures. Gluster was…
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Gluster topic overview
The analysis highlights History, Art, Technology and Companies as prominent areas in the source structure around Gluster.
Related topics
58
Source areas
4
Connected nodes
62
Extracted relationships
86
Concept neighborhoods
25
Bridge connections
62
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
GlusterFS · 34 topics
Architecture · 10 topics
History · 7 topics
Overview · 7 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Founded
2005; 21 years ago (2005)
Industry
Software, computer storage
Headquarters
Sunnyvale, California and Bangalore, India
Founder
Anand Avati Anand Babu Periasamy
Key people
Anand Babu (AB) Periasamy (CTO) and Hitesh Chellani (CEO)
Number of employees
60
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Gluster connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Gluster shows recurring relationship patterns in the source. For example, Gluster → By, Ethernet, FUSE, GlusterFS, GNU General Public License, GPL, InfiniBand, Infiniband RDMA, It, Lesser General Public License, LGPL, NFS, NFSv4, Object, OpenStack Storage, SAMBA, Servers, Sockets Direct Protocol, Swift, TCP/IP Another extracted example is Gluster → Anand Babu Periasamy, Ben Golub, Ceph, CTO, Despite, Gluster's, GlusterFS, GNU, In May, Lustre, October, Red Hat, Red Hat Gluster Storage, Red Hat Storage Server, The. Use these groups to spot repeated connection types before inspecting the individual relationships.
Gluster
Top relations
related to Design· 23
Gluster → By, Ethernet, FUSE, GlusterFS, GNU General Public License, GPL, InfiniBand, Infiniband RDMA, It, Lesser General Public License, LGPL, NFS, NFSv4, Object, OpenStack Storage, SAMBA, Servers, Sockets Direct Protocol, Swift, TCP/IP
related to history· 15
Gluster → Anand Babu Periasamy, Ben Golub, Ceph, CTO, Despite, Gluster's, GlusterFS, GNU, In May, Lustre, October, Red Hat, Red Hat Gluster Storage, Red Hat Storage Server, The
related to GlusterFS· 13
Gluster → April, Ceph, GlusterFS, GlusterFS-based Red Hat Storage, In June, Inc, Inktank Storage, It, Red Hat, Red Hat Enterprise Linux, Red Hat Gluster Storage, Red Hat Storage Server, Server
related to Public cloud deployment· 11
Gluster → Amazon Machine Image, Amazon Web Services, Amazon's Elastic Block Storage, AMI, AWS, EBS, EC2, Elastic Compute Cloud, For, GlusterFS, In
related to Architecture· 7
Gluster → Capacity, Each, High, I/O, JBOD, Performance, The GlusterFS
related to Private cloud deployment· 4
Gluster → GlusterFS, KVM, VMware, Xen
Founded· 1
Gluster → 2005; 21 years ago (2005)
Founder· 1
Gluster → Anand Avati Anand Babu Periasamy
Headquarters· 1
Gluster → Sunnyvale, California and Bangalore, India
Industry· 1
Gluster → Software, computer storage
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 86 structured relationships around Gluster. Examples in this analysis include Gluster → Founded → 2005; 21 years ago (2005) and Gluster → Founder → Anand Avati Anand Babu Periasamy. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Gluster
Founded
2005; 21 years ago (2005)
1.00
infobox
Gluster
Founder
Anand Avati Anand Babu Periasamy
1.00
infobox
Gluster
Headquarters
Sunnyvale, California and Bangalore, India
1.00
infobox
Gluster
Industry
Software, computer storage
1.00
infobox
Gluster
Key people
Anand Babu (AB) Periasamy (CTO) and Hitesh Chellani (CEO)
1.00
infobox
Gluster
Number of employees
60
1.00
infobox
Gluster
Number of locations
2
1.00
infobox
Gluster
Products
Cloud storage
1.00
infobox
Gluster
Type
Privately funded
1.00
infobox
Gluster
Website
www.gluster.com
1.00
infobox
KVM
instance of
or private cloud deployment will consist of GlusterFS installed as a virtual appliance on top of multiple commodity servers running hypervisors
0.80
text
Xen
instance of
or private cloud deployment will consist of GlusterFS installed as a virtual appliance on top of multiple commodity servers running hypervisors
0.80
text
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Gluster bring nearby vocabulary together. In this analysis, examples include Hat, Red and Inc. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Gluster
Hat
Red
Inc
Company
Storage
Cloud
System
File
Also
Ceph
Funded
Open-source
gluster
Hat
Red
Inc
Company
Storage
Cloud
System
File
Also
Ceph
Funded
Open-source
cloud storage
Private
Public
Inc
File
Software
System
Server
Servers
Gluster
Red
Ceph
Storage
red hat storage server
Red
File
System
Client
Server
Storage
Using
Ceph
May
Volume
Servers
Glusterfs
glusterfs
Servers
Storage
Server
Client
Commodity
Using
Hat
Red
File
Multiple
Open-source
User
cloud computing
Private
Public
Inc
Software
Servers
Gluster
Storage
Bangalore
California
India
Privately
Scale-out
public cloud
Private
Public
Software
Inc
Servers
Gluster
Scale-out
Also
Storage
Bangalore
California
India
file system technology
System
Storage
Ceph
Distributed
Server
Gluster
Servers
Hat
Red
Virtual
Volume
Glusterfs
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Gluster, one of the stronger structural bridges in this analysis connects Gluster with GlusterFS. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Gluster
Nodes63
Edges62
Triples86
Avg. degree1.97
Density0.031746
Components1
Source & methodology
TTTA analyzes the structure around Gluster to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art, Technology & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
