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CABO - Content-Adaptive Bandwidth Optimization for Carriers and ISPs

CABO is a next-generation self-tunable automated system for optimal bandwidth savings

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CABO’s Objectives

  • Create an auto-tunable bandwidth utilization management solution for carriers and Wi-Fi shared access
  • Design an optimized version for ARM-based Wi-Fi and cloud systems
  • Create cloud-based nodes for optimal bandwidth savings and easy management of local nodes
  • Create (ourselves or through a partnership) a customizable portal for various value-added applications and services

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CABO’s Advantage

  • Creates a compelling cost-saving bandwidth utilization management solution for carriers and Internet Service Providers
  • Optimizes all Web traffic
  • Does not require ongoing configuration tweaking
  • Uses less storage for more content
  • Standards-compliant and DRM-observant
  • Implements peak vs. off-peak bandwidth policies (optional)
  • Can utilize pay-as-you-go business model: no upfront expenses; payments based on sharing the realized cost savings

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CABO: Next-Generation Caching

Legacy transparent caching solutions are not delivering optimal bandwidth savings results and are hard to maintain

  • Content is constantly changing/evolving: CABO learns
  • Same content is delivered under different names: CABO detects
  • Rarely-accessed content is clogging the cache storage: CABO discards
  • Peak demand can overwhelm the capacity: CABO adjusts
  • Content providers demand full control: CABO complies

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CABO: Under the Hood

CABO is built from the ground up to implement a 21st century patent-pending approach to bandwidth optimization

  • Consistent byte storage mechanism
  • Advanced object indexing
  • Immediate recovery from failure
  • Pattern recognition for detection of duplicates
  • Self-learning for identifying most popular content
  • Policy-driven approach to bandwidth savings during peak hours
  • Outstanding 3rd-party HTTP compliance testing results

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CABO: Cloud Nodes

  1. Massive storage for bandwidth management
  2. Serves as content termination point for Wi-Fi endpoints
  3. Traffic shaping/content prioritization for congestion avoidance
  4. Storage indexing based on checksum overriding E-Tag
  5. Data deduplication/WAN optimization for Wi-Fi uplink savings
  6. Caching directives optimization
  7. Local storage orchestration: choosing what to store at the edge
  8. Pre-positioning of popular content at the edge