TY - GEN
T1 - Minimal Total Deviation in TCAM Load Balancing
AU - Sadeh, Yaniv
AU - Rottenstreich, Ori
AU - Kaplan, Haim
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Traffic splitting is a required functionality in networks, for example for load balancing over multiple paths or among different servers. The capacities of the servers determine the partition by which traffic should be split. A recent approach implements traffic splitting within the ternary content addressable memory (TCAM), which is often available in switches. It is important to reduce the amount of memory allocated for this task since TCAMs are power consuming and are also required for other tasks such as classification and routing. Previous work showed how to compute the smallest prefix-matching TCAM necessary to implement a given partition exactly. In this paper we solve the more practical case, where at most n prefix-matching TCAM rules are available, restricting the ability to implement exactly the desired partition. We consider the L1 distance between partitions, which is of interest when overloaded requests are simply dropped, and we want to minimize the total loss. We prove that the Niagara algorithm [1] can be used to find the closest partition in L1 to the desired partition, that can be realized with n TCAM rules. Moreover, we prove it for arbitrary partitions, with (possibly) non-integer parts.
AB - Traffic splitting is a required functionality in networks, for example for load balancing over multiple paths or among different servers. The capacities of the servers determine the partition by which traffic should be split. A recent approach implements traffic splitting within the ternary content addressable memory (TCAM), which is often available in switches. It is important to reduce the amount of memory allocated for this task since TCAMs are power consuming and are also required for other tasks such as classification and routing. Previous work showed how to compute the smallest prefix-matching TCAM necessary to implement a given partition exactly. In this paper we solve the more practical case, where at most n prefix-matching TCAM rules are available, restricting the ability to implement exactly the desired partition. We consider the L1 distance between partitions, which is of interest when overloaded requests are simply dropped, and we want to minimize the total loss. We prove that the Niagara algorithm [1] can be used to find the closest partition in L1 to the desired partition, that can be realized with n TCAM rules. Moreover, we prove it for arbitrary partitions, with (possibly) non-integer parts.
UR - http://www.scopus.com/inward/record.url?scp=85133266802&partnerID=8YFLogxK
U2 - 10.1109/INFOCOM48880.2022.9796698
DO - 10.1109/INFOCOM48880.2022.9796698
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AN - SCOPUS:85133266802
T3 - Proceedings - IEEE INFOCOM
SP - 450
EP - 459
BT - INFOCOM 2022 - IEEE Conference on Computer Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 41st IEEE Conference on Computer Communications, INFOCOM 2022
Y2 - 2 May 2022 through 5 May 2022
ER -