SlipStream Data Inc.

Ontario – Waterloo – Waterloo

Corporation

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Founded in 2000 and acquired by Research In Motion in 2006, SlipStream Data Inc. (SlipStream) has pioneered the fastest, most reliable Web multimedia acceleration and optimization technology for delivery on broadband, wireless and dial-up networks - using patented acceleration, compression and network optimization - resulting in increased profits, reduced churn and high QoS for Internet Service Providers.
Leading-Edge Technology
Using advancements in data compression technology, SlipStream is able to provide unparalleled access speeds over existing communication networks.
Country of Ownership: Canada
Year Established: 2000
Exporting: Yes
Primary Industry (NAICS): 541510 - Computer Systems Design and Related Services
Primary Business Activity: Manufacturer / Processor / Producer
Number of Employees: 40

Products:
Slipstream sp

Technology:
Comparison of SlipStream Data's Compression and Other
Approaches
SlipStream Data Inc., has developed products which contain
proprietary compression and network optimization technologies.
The compression technology used in the SlipStream products is
unique and patented.
Compression Technology
Background - Data compression methods can be divided into two
types: lossy data compression and lossless data compression.
Lossy methods are popular for compressing rich-media, such as
video, audio or pictures. Lossy compression is achieved by
discarding information without severely affecting the user's
perception of the subject. A trade-off is created between
quality and compression. In the case of text data, lossy
compression is not appropriate. Every byte must be recovered to
maintain the integrity of the data.
SlipStream Data uses lossless compression for text data
including plain-text, HTML, Javascript and Content Style Sheets
(CCS), and lossy compression for images. The core technologies
behind its acceleration solutions are its innovative, on-line,
and tuneable lossless compression algorithms which can achieve
as much as 20:1 on-line compression for web text data objects,
resulting in much faster loading of web pages.
Conventional lossless data compression methods typically employ
Huffman coding, run-length coding, arithmetic coding
algorithms, Lempel-Ziv algorithms, and their variants.
Huffman Coding and Run-Length Coding - Huffman coding and run-
length coding were invented in 1957 and 1966, respectively.
Because of their simplicity, they are still widely used in the
lossless component of a lossy compression system such as MPEG
and DV.
Arithmetic Coding - Arithmetic coding algorithms and their
variants are statistical model-based algorithms. To use an
arithmetic coding algorithm to encode a data sequence, a
statistical model is either built dynamically during the
encoding process, or assumed to exist in advance. Several
approaches have been proposed to dynamically build a
statistical model. These include the prediction by partial
match algorithm, dynamic Markov modelling, context gathering
algorithm, and context-tree weighting method
Lempel-Ziv Algorithms - In contrast, no statistical model is
used in Lempel-Ziv algorithms and their variants. During the
encoding process, the original data sequence is parsed into non-
overlapping, variable-length phrases according to a string
matching mechanism, and then encoded phrase by phrase. Each
parsed phrase is either distinct or replicated with the number
of repetitions less than or equal to the size of the source
alphabet. Phrases are encoded in terms of their positions in a
dictionary or database.
Other conventional universal compression methods include the
dynamic Huffman algorithm, the move-to-front coding scheme, and
some multi-pass compression algorithms including algorithms
based on the Burrows Wheeler Transform. These conventional
methods are either inferior to arithmetic coding and Lempel-Ziv
algorithms, or not applicable to on-line compression for
transmission.
SlipStream Data's Compression Technology
SlipStream Data's compression solutions use a relatively new
source coding theory to construct on-line, tuneable, context-
dependent compression algorithms. Instead of compressing the
original objects, SlipStream Data's solutions compress the
numerical set of rules. To achieve on-line compression, the
solutions have an engine to construct these rules dynamically
and then encode these rules on the fly as web data flow in. The
end results are efficient compression, fast sequential encoding
and decoding, and small memory usage - all these are important
and desirable factors in on-line compression for transmission.
Since the set of rules is dynamic, when the structure of web
text data objects is changed, the corresponding rules will be
updated; similarly, when the content of web objects is updated,
the corresponding rules will be updated accordingly. This
unique feature fits very well with the world of web pages,
where the content of web objects is updated constantly and on
the other hand, the structure of web objects remains
approximately constant and changes infrequently. This unique
feature of its solutions enables SlipStream Data to achieve
astonishing on-line, tuneable compression.
Network Optimizations
Most of the Internet applications rely on TCP/IP protocol for
communication of data over the network. The TCP/IP is designed
to provide robust and reliable communication over different
types of networks and conditions. However, as a trade-off,
TCP/IP provides poor performance with noisy, low bandwidth, and
high latency networks such as wireless and dial-up networks.
Moreover, popular Internet applications like email and web-
browsers make and break connections several times during a
single session further exacerbating the performance problem.
SlipStream Data uses a proprietary network architecture and
protocol that eliminates the problem of poor performance of
TCP/IP caused by slow-start up and frequent handshakes.

Sector:
Key / Major Clients: United Online
IKANO Communications
TELUS
Bell Canada
Bell Aliant
AOL Canada
America Online
POP Internet (Central/Latin America)
France Telecom
Nitro Global (Asia-Pacific)
Shenzhen CCPower (China)
Onspeed (UK)
Service Providers in more than 40 countries worldwide
Success Stories: Millions of users worldwide are benefiting from our technology for increased acceleration on dialup, wireless and broadband connections.

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Profile ID: LFCA-COD-O-43554

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