Abstract: Systems and methods include storing one or more counters in a plurality of locations in Double Data Rate (DDR) Random Access Memory (RAM) such that each counter is stored partially in multiple locations across the DDR RAM; and accessing banks in the DDR RAM sequentially for read operations and write operations associated with the one or more counters. The multiple locations include a location in each bank of the banks in the DDR RAM. A read operation for a counter is performed by reading all of the corresponding multiple locations and combining associated values to return a result for the counter. A write operation for a counter is performed by writing to a location of the multiple locations that is currently in sequence.

Abstract: Systems and methods include storing one or more counters in a plurality of locations in Double Data Rate (DDR) Random Access Memory (RAM) such that each counter is stored partially in multiple locations across the DDR RAM; and accessing banks in the DDR RAM sequentially for read operations and write operations associated with the one or more counters. The multiple locations include a location in each bank of the banks in the DDR RAM. A read operation for a counter is performed by reading all of the corresponding multiple locations and combining associated values to return a result for the counter. A write operation for a counter is performed by writing to a location of the multiple locations that is currently in sequence.

Abstract: Systems and method include receiving counter update requests that are at a maximum frequency of fcounters; sending the counter update requests to a main block of counters that operate at a maximum frequency of fmain, where (fmain)?(fcounters)/2; and responsive to a block of the main block of counters experiencing an overflow, sending corresponding counter update requests for the block of the main block of counters experiencing the overflow to a cache counter block that operates at a maximum frequency of fcache, where (fmain)?(fcache) and (fcache)?(fcounters)?(fmain). The counter update requests can be for Y×K total counters, and the main block of counters can include Y blocks of counters each block having K counters, Y and K are positive integers. (fmain)?(fcounters)/2 ensures only one block of the main block of counters overflows simultaneously.

Abstract: A flexible smart sleeve system for a pluggable transceiver includes a pluggable sleeve configured to selectively engage a pluggable transceiver; a smart enclosure configured to selectively engage a host device, wherein the host device is configured for the pluggable transceiver; and a flexible cable connecting the pluggable sleeve to the smart enclosure. A network with a flexible smart sleeve system for a pluggable transceiver includes a network switch; a customer premises switch comprising a host cage configured for the pluggable transceiver; and a flexible smart sleeve system configured to engage the host cage and to engage the pluggable transceiver, wherein the flexible smart sleeve system is configured to provide Operations, Administration, and Maintenance (OAM) to the network switch.

Abstract: A flexible smart sleeve system for a pluggable transceiver includes a pluggable sleeve configured to selectively engage a pluggable transceiver; a smart enclosure configured to selectively engage a host device, wherein the host device is configured for the pluggable transceiver; and a flexible cable connecting the pluggable sleeve to the smart enclosure. A network with a flexible smart sleeve system for a pluggable transceiver includes a network switch; a customer premises switch comprising a host cage configured for the pluggable transceiver; and a flexible smart sleeve system configured to engage the host cage and to engage the pluggable transceiver, wherein the flexible smart sleeve system is configured to provide Operations, Administration, and Maintenance (OAM) to the network switch.

Abstract: A method, a statistics subsystem, and a system use a combination of commercially available high speed memory and high density low speed memory to mitigate cost, space, control, and power issues associated with storing counters for statistics updates, while meeting the growing width and depth needs of multi-hundred gigabit Carrier Class data network devices. The method, statistics subsystem, and system offer a Counter Management Algorithm (CMA) that relies on rollover bits stored within data of counters. An update to the low speed memory is substantially faster than a rollover time for the counter in the high speed memory thereby allowing statistics to be cached in the high speed memory while updates take place to the low speed memory.