Arris Enterprises LLC

Arris International, Inc.

Steven Paul Nolle

Brian Jay Barker

Timothy S Moore

Dwain Edward Frieh

Gregory Gohman

Alan Doucette

Craig Patrick Coogan

James Touhey

Keith Olsen

Systems and methods can be operable to provide subscription service level based channel assignment for network devices. In some implementations, such systems and methods can operate to create service flow list for use in assigning channels to CPE devices (e.g., modems, eMTAs, STBs, etc.). Such systems and methods can assist in assigning CPE devices to channels that correspond to their subscribed service level, thereby facilitating delivery of the proper level of service.

Channel assignment based on subscribed service level

Methods and apparatuses for balancing a network load are provided. A control attribute that allows a system operator to prioritize upstream and downstream channel loading conditions relative to each other for load balancing decisions is used to balance the network load.

Load balancing in a DOCSIS system based on weighting upstream and downstream channel loading conditions

Systems and methods can be operable to provide improved load balancing for network devices. In some implementations, such systems and methods can operate to create success list and/or fail list for use in optimizing improved load balancing for network devices. In other implementations, such systems and methods can also operate to manage and remove entries from success list and/or fail list. The success list and/or fail list can be used to optimize load balancing thereby reducing or preventing interruption in service to customers.

Load balancing for network devices

Static balancing of cable modems across upstream channels is made based on the channel's current bandwidth demand compared to a first and/or second CAC threshold level. If both threshold levels are exceeded, the modem is assigned to the channel having the lowest bandwidth demand. After registration, predictive balancing modems according to whether an MTA is part of a given modem avoids concentration of modems having MTAs on certain channels while other channels serve only moderns without MTAs. Modems are also predictively balanced according to whether they have associated a DSA_use_history profile. Modems associated with certain subscribers may be balanced according to the time of day balancing is occurring based on the profile. Thus, light users during working hours may be balanced as heavy users at night if they typically download video content or use VoIP features during the evening.

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Naperville, IL, United States of America

Steven Paul Nolle