SBIR/STTR Research Award

Dynamic Selection of Reallocated Timeslots.

Award identifier acd03693f141696aba932d979e0559391b5c68c2f49b160cf594a78ec0ff19b8Awarding agency Department of Defense · Navy

Award amount

$68,500

Program and phase

SBIR · Phase I

Award year

1997

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
SiCOM, Inc
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

Modern computer and communication networks are required to transport increasingly diverse and dynamic data traffic among an increasing number of network nodes. The efficiency with which networks transport data is fundamentally constrained by the efficiency with which it can multiplex the diverse nodal traffic into an efficiently organized stream, and then demultiplex it at the appropriate destination node. Unfortunately, both the growing diversity and dynamic nature of network data traffic severely constrains the efficiency of multiplexing and demultiplexing, and thereby the efficiency of the overall network. SICOM proposes research which exploits an innovative new methodology for decomposing nodal data traffic into components exhibiting both predictable and unpredictable data rates. Combined with previously successful research which developed an optimal efficiency network transport scheme for predictable data, this novel decomposition promises to support significant enhancements in network transport efficiency. Moreover, this innovative multiplexing technique offers an ideal match to the emerging network traffic rising from compressed audio (computer telephony) and video (teleconferencing) network nodes. SICOM has already developed and demonstrated a high-speed CMOS ASIC embodying the transport processing for the predictable component of nodal data traffic. The proposed research will extend this to accommodate completely arbitrary network data characteristics.

Technology keywords

Not reported

Agency intelligence

Department of Defense

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