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Stratified Round Robin: A Low Complexity Packet Scheduler with Bandwidth Fairness and Bounded Delay Sriram Ramabhadran Joseph Pasquale. Presented by Sailesh Kumar. Outline. Packet fair queuing algorithms Motivation for stratified round robin Operation Implementation Analysis. Introduction.
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Stratified Round Robin: A Low Complexity Packet Scheduler with Bandwidth Fairness and Bounded DelaySriram RamabhadranJoseph Pasquale Presented by Sailesh Kumar
Outline • Packet fair queuing algorithms • Motivation for stratified round robin • Operation • Implementation • Analysis
Introduction • Recently a class of service discipline called Packet Fair Queuing (PFQ) has got much attention • PFQ Algorithms approximate the idealized Generalized Processor Sharing (GPS) policy which has two desirable properties • It can guarantee end-to-end delay for a flow in a packet switched network. • It can ensure instantaneous fair allocation of bandwidth among all the backlogged flows • While many PFQ algorithms has been proposed, few can achieve all of the following goals • Support lots of flows with diverse rates • Operate at high speeds (10 Gbps +) • Maintain both a) delay bound, and b) worst case fairness
Different classes of scheduling algorithms • Round robin schedulers • Assign time slots to flows • DRR • W-DRR • BSFQ • … • Easy implementation • Time stamp schedulers • Try to emulate GPS • WFQ • WF2Q • SCFQ • … • Good delay bounds
Time stamp schedulers • There are three major associated costs • The computation of system virtual time • Normalized fair amount of service, each flow should receive • Management of priority queue to order the packet transmission • It involves sorting across all active flows • Management of another priority queue to regulate the packets • It can be thought of as the set of eligible flows • Computation of system virtual time may be complex • WFQ, WF2Q - O(N) complexity • SCFQ, WF2Q+ – O(1) complexity • Several other algorithms with O(logN), … complexities • Priority queues are almost always O(logN)
Round robin schedulers • Eliminates sorting/priority queues • DRR • Assigns a quantum to each queue and services the in a round robin fashion • W-DRR • Assigns different quantum to each flow but services them sequentially • Easy implementation • Poor delay bounds • Bursty output
Stratified round robin, Introduction • Uses best of both worlds • Round robin - Poor delay bound results from flows with high rate disparity • Deadline based – Hard to implement due to large number of flows, O(logN) can be prohibitive • SRR groups flows with similar rates into classes such that there are few classes, say n (<< N) • Use deadline based selection across groups, O(log n) • And round robin based selections within groups, O(1) • Total complexity O(log n)
Stratified round robin • Let there are N backlogged flows f1, f2, . . . , fN that share an output link of bandwidth R. • Flow fi has a reserved bandwidth of ri such that • Sigma_ri (i = 1 to N) < R • Lets call the weight of ith flow as wi = ri/R • Thus, Sigma_wi (i = 1 to N) < 1 • Flows are grouped into classes based on their weights • Flow class Fk is defined as • Fk = {fi : 1/2k ≤ wi < 1/2k-1}
SRR (cont) • How many classes • Lets say that the minimum rate of a flow is r • Thus, there will be n = (log R/r) different classes • For R = 40 Gbps, and r = 1 bps, • n = 36 • A priority queue with n = 36 can be implemented to run in O(1) complexity • We will come to it later
Inter-class scheduling • Time is measured in slots and only one flow can send packets in a slot • tC denotes the current time slot • tC is incremented after each slot • Thus virtual time concept over here is little bit similar to SCFQ • Slots may not be assigned to any flow, in which case tC is just incremented (zero real time)
Inter-class scheduling (cont) • Scheduling intervals • Fixed length and contiguous slots associated with a flow class • For class Fk, scheduling interval is always 2k slots • Thus, if a scheduling interval for a class begins at time t, the next will begin at time t+2k • Every flow fi ∈ Fk has a weight of approximately 2−k, Therefore, if slots represent fixed-size units of bandwidth allocation, fi is entitled to exactly one slot every 2kslots. • In fact, Stratified Round Robin does exactly this by trying to assign every flow fi ∈ Fk one slot in each scheduling interval of Fk.
Inter-class scheduling (cont) • A flow class Fk is called active if it contains at least one backlogged flow, i.e., Nk > 0. • Let A denote the set of active flow classes. • A backlogged flow fi ∈ Fk is called pending if fi has not been assigned a slot in Fk’s current scheduling interval. • A flow class is called pending if it contains at least one pending flow. • Let P denote the set of pending flow classes.
Inter-class scheduling (cont) • Assign every flow fi ∈ Fk exactly one slot in each scheduling interval of Fk. • The end of the current scheduling interval of a flow class is deadline for all backlogged flows belonging to that class. • Thus, the inter-class scheduler selects the flow class Fk with the earliest deadline. • The intra-class scheduler then assigns a flow fi ∈ Fk the current slot. • A flow class Fk ceases to be pending when all flows belonging to Fk is assigned a slot in its current scheduling interval. • Then Fk remains like that until the start of its next scheduling interval, when all flows belonging to Fk become pending again.
Inter-class scheduling (cont) • How to advance tC • After servicing a flow in the current time slot • If there are any pending flow classes, tC is incremented by 1 • Otherwise, tC is advanced to the earliest time when some flow class becomes pending again
Inter-class scheduling (cont) Weights w1 = 1/2 w2 = 1/8 w3 = 3/16 w4 = 1/16 w5 = 1/16
Inter-class scheduling (cont) • Within a class flows are scheduled in a W-DRR fashion • Each flow is given a credit proportional to its weight • Output is not that bursty because maximum weight disparity within a class in 2
Implementation • A simple implementation aligns all the scheduling intervals • Although this may result a little bit unfair service, it makes the implementation extremely trivial • Deadline of class Fk will also be deadline of class Fk’, when k’ < k Deadlines of various classes
Implementation (Selecting class) Current tC To select next class – choose the smallest k such that Fk is pending Deadlines of various classes • A simple priority encoder operating on the pending status bits of flow classes can be used to choose the class
Implementation (Advancing tC) Current tC Scheduling intervals starts here for various classes Advance tC such that at least one class becomes pending • If Fk+1 is the first class that is active then • Add 2k+1 and then reset k LSB bits • Can be implemented with a priority encoder and few gates
Analysis • Golestani fairness • It essentially requires that the difference between the normalized service received by any two backlogged flows fi and fj, over any time period (t1, t2), be bounded by a small constant • (SRR results). In any time period (t1, t2) during which flows fi and fj are backlogged, • Si(t1, t2)/ri − Sj (t1, t2)/rj ≤ 5LM(1/ri + 1/rj) • Bennet-Zhang fairness • It compares the service received by a single flow fi to the service it would receive in the ideal case, i.e., when fi has exclusive access to an output link of bandwidth ri • (SRR results). • δi < qi/ri + 5LM/ri + 5(N − 1)LM/R
Analysis and simulation results • Single packet delay bound • (Single packet delay). For every flow fi, let ∆i be the maximum delay experienced by a packet at the head of fi’s queue. Then • ∆i < 12*LM/ri • Independent of the the number of flows • Tighter bounds may be derived • A simple simulation demonstrates that SRR results in similar performance (in terms of avg. delay) as WFQ
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