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CSE 573S: Networking Protocols

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Title: CSE 573S: Networking Protocols


1
CSE 573S Networking Protocols
Switching Systems
Instructor Manfred Georg Guest Speaker Charlie
Wiseman
2
Switching in Modern Communication Networks
Slides taken from various lecture notes by Dr.
Jonathan Turner
3
Switching Systems
  • Cell Based Switches
  • IP Lookup (using Tries)?
  • ATM Cell Structure
  • IP over ATM
  • Switch Architectures
  • Buffered Multistage Switches
  • Resequencing
  • Multistage Switch Topologies
  • Multistage Switches with Static Routing
  • Clos Network
  • Sorting Networks

4
Benes Network - Structure and Routing
0000 0001 0010 0011 0100 0101 0110 0111 1000 1001
1010 1011 1100 1101 1110 1111
  • Network expanded by adding stages on left and
    right.
  • 2k?1 stage network with d port switch elements
    supports up to dk ports
  • network topology called the Benes network
  • First k???stages of ?k???stage network do traffic
    distribution.
  • Load distribution guarantees internal load
    ??external load.
  • For d-ary switches, route on base d digits of
    output address.

5
Overload in Extended Delta Networks
  • First h stages distribute traffic, last k route.
  • When h k ??1, ext. delta network is same as
    Benes network
  • Network cannot be overloaded if S ??d ?(k?h)/???
    where S is speedup?
  • Result holds for both unicast and multicast.
  • When h k ??1, no speedup needed.

6
Switching Systems
  • Cell Based Switches
  • IP Lookup (using Tries)?
  • ATM Cell Structure
  • IP over ATM
  • Switch Architectures
  • Buffered Multistage Switches
  • Resequencing
  • Multistage Switch Topologies
  • Multistage Switches with Static Routing
  • Clos Network
  • Sorting Networks

7
Resequencing
Input Line Cards
Output Line Cards
Load Balancing Stage
Shared Memory Switch Elements
  • Multistage interconnection networks with buffered
    switch elements and dynamic routing.
  • scalable, bandwidth-efficient architecture
  • single chip can provide 100 Gb/s throughput and
    buffer thousands of cells

8
Resequencing with Sequence Numbers
Sequence Numbers Added
Reseq. Arrays indexed by seq.
  • Drawbacks
  • each output needs N resequencing arrays
  • initialization when line card comes on-line
  • timeouts needed to cope with lost cells
  • multicast requires per flow resequencing arrays

9
Time-Based Resequencing
Timestamp Ordered Reseq. Buffer
Timestamps Added
Output Buffer
  • Single resequencing buffer per output.
  • Cells held until age exceeds threshold (T ).
  • Options for late cells.
  • discard (strict resequencing) or buffer (loose)?

10
Henrions Strict Resequencer Design
T slot timing wheel
current time modulo T
insert at timestamp mod T
ready cells
  • Implemented using linked lists in common memory.
  • Constant time per cell.

11
Performance of Strict Resequencing
  • Simple random traffic.
  • 3 stage network, 8 port SEs, 512 (shared) cell
    buffers.
  • 1st stage SEs use round robin load balancing for
    each input.

Late cells rare with small speedup
For systems with 10G links, delay for 256 cells
is 10 ?s.
12
Performance on Adversarial Traffic
21 overload at target output
Delay drops as SE buffers drain
Resequencer recovers when delay drops below T
Growing network delay
Cells discarded when delay exceeds T
13
Switching Systems
  • Cell Based Switches
  • IP Lookup (using Tries)?
  • ATM Cell Structure
  • IP over ATM
  • Switch Architectures
  • Buffered Multistage Switches
  • Resequencing
  • Multistage Switch Topologies
  • Multistage Switches with Static Routing
  • Clos Network
  • Sorting Networks

14
Routing in Delta Networks
  • Route from any input x to output y by selecting
    links determined by successive d-ary digits of
    ys label.
  • This process is reversible we can route from
    output y back to x by following the links
    determined by successive digits of xs label.
  • This property (often called the self-routing
    property) allows for simple hardware-based
    routing of cells.
  • Note that the forward self-routing property holds
    even if the links connecting to a given
    subnetwork are rearranged.

0101
0
1
1
0
1
1
0
1101
1
xxk-1 . . . x0
yyk-1 . . . y0
15
Isomorphisms Between Networks
  • Two networks are the isomorphic if they are
    structurally identical that is, if you can map
    one network to the other by renumbering inputs,
    outputs and switches.
  • Two networks are strongly isomorphic if one can
    be mapped to the other by just renumbering the
    switches. Strong isomorphism is denoted by ?.
  • If N1?????then in any network that contains N1,
    we can substitute ??, without changing the
    overall structure.

16
Omega Network
  • For klogdn the omega network ?n,d is defined by
    ?n,d?kn,d , where
  • The omega network is isomorpic (but not strongly
    isomorphic) to the delta network.
  • Successor function is ?(i,j)?-1d(j,k).
  • The uniform interconnection pattern can be useful.

17
Illustration of Isomorphisms
18
Switching Systems
  • Cell Based Switches
  • IP Lookup (using Tries)?
  • ATM Cell Structure
  • IP over ATM
  • Switch Architectures
  • Buffered Multistage Switches
  • Resequencing
  • Multistage Switch Topologies
  • Multistage Switches with Static Routing
  • Clos Network
  • Sorting Networks

19
Multistage Networks with Static Routing
  • All cells in a session follow a specific
    pre-assigned path.
  • Requires path hunt and resource reservation.
  • creates potential for blocking
  • Eliminates need for resequencing and distributed
    scheduling.

20
General Design Issues
  • Path hunting
  • how to rapidly find path with sufficient capacity
  • Blocking
  • session requests block if no path available with
    sufficient bandwidth
  • can configure systems to be nonblocking
  • alternatively, can accept some small blocking
    probability

21
Naive Non-Blocking Network
  • Connect Inputs and Outputs using a grid
    (Crossbar)?
  • Can we do better?

Crosspoint Count N2
22
Switching Systems
  • Cell Based Switches
  • IP Lookup (using Tries)?
  • ATM Cell Structure
  • IP over ATM
  • Switch Architectures
  • Buffered Multistage Switches
  • Resequencing
  • Multistage Switch Topologies
  • Multistage Switches with Static Routing
  • Clos Network
  • Sorting Networks

23
The Clos Network
  • Let d, r, n be integers where d divides n evenly.
    The three stage Clos network is defined by
  • C 3n,d,r is strictly nonblocking for unicast
    sessions if and only if r ??d1.

24
Complexity of Clos Network
  • The crosspoint count for a three stage Clos
    network is 2dr(n?d)r(n?d)2.
  • if we substitute r2d, making the network
    nonblocking, this becomes 2n(2dn/d)?
  • the crosspoint count is minimized by taking
    d(n?2)1/2
  • this gives a crosspoint count of 4?21/2n 3/2
    ?????n 3/2?
  • Another nonblocking network can be obtained by
    replacing the middle stage switches by Clos
    networks.
  • C5 is also nonblocking when r ?2d?1. If r2d and
    d(2n/3)1/3, the crosspoint count is ?????n ????
  • this generalizes to C 2k?1, which is nonblocking
    when r?2d ?1. If r2d and d(2k-1(k
    ?1)n/4(2k-1?1))1/k, the crosspoint count is

25
Switching Systems
  • Cell Based Switches
  • IP Lookup (using Tries)?
  • ATM Cell Structure
  • IP over ATM
  • Switch Architectures
  • Buffered Multistage Switches
  • Resequencing
  • Multistage Switch Topologies
  • Multistage Switches with Static Routing
  • Clos Network
  • Sorting Networks

26
Sorting Networks
  • Bitonic sorter recursively merges sorted
    sublists.
  • Can switch by sorting on destination.
  • additional components needed for conflict
    resolution

27
Design of Sorting Network
  • In bit-serial sorting element, sorting keys are
    compared bit by bit as header is received.
  • Comparison starts with MSB, so first difference
    determines larger key.
  • Upstream acknowledgement path used in some
    systems.
  • Single bit delay, simple circuit (about 50 gates)?
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