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QoS Support in High-Speed, Wormhole Routing Networks Mario Gerla, B. Kannan, Bruce Kwan, Prasasth Palanti,Simon Walton Overview • Introduction • QoS via separate subnets • QoS via synchronous framework • QoS via virtual channels • Conclusions Introduction • Wormhole routing offers low latency, high speed interconnection for supercomputers and clusters. • It’s a modification of virtual cut-through: -A packet is forwarded to output port once its head is received at the switch -If channel is busy, whole packet is buffered at input port -Wormhole: packet composed of several flits is stored across several switches • Used in high speed LANs like Myrinet: -Asynchronous LAN -uses wormhole routing, source routing, backpressure flow control to achieve low latency and high bandwidth Supercomputer SuperNet • Two level architecture: – Optical backbone based on physical optical star topology – High speed wormhole routing are Myrinet LANs – Optical Channel Interface connects electronic LANs to optical backbone • Provide support for distributed supercomputing. – Scientific visualization, video display, parallel applications – Different types of traffic (low latency datagram, high bandwidth connection oriented) – Different types of QoS Objective • Want to provide connection oriented traffic with QoS parameters: -reliable support: no worm loss -scalable and deadlock free network • Assumption: -Traffic with QoS is connection oriented -QoS parameters specified at connection setup -Connection can be refused if no guarantee for Qos parameters -QoS parameters: average bandwidth, end-to-end delay or jitter QoS support via Separate Subnet • Create two subnets – One carries QoS traffic – Another carries non QoS traffic – Routing is independent for the subnets (Myrinet has support) • Issues: – Call admission and control – Source host behavior – Number of interfaces at host Call Admission & Control • Admission agent maintains state of QoS subnet • Request for QoS traffic connection comes in • Upon receiving request, agent decides a suitable route • If route not available, host can retry or use other subnet • If route exists, connection is accepted, host can send • Once completed, host informs admission agent • Admission agent update its view or state of subnet Host Behavior • Host must be responsible for amount of traffic injected in subnet according to QoS parameters it required • Solution: host uses pacing mechanism – Allow only predetermined number of flits to be transmitted per time period Number of Interfaces • Suppose host has only one interface • Sender side: – Host can schedule transmission into the network • Receiver side: – Possible non-QoS worm may block QoS worm – QoS worm encounters delay if non-QoS worm is large • Solutions: – Two interfaces: this double cost of network – Account for the worst case non-QoS traffic delay on single host interface at call setup time Alternative • Subnets: – difficult to provide delay bounds due to delay dynamics from blocking at different cross points • Alternative: – Impose synchronous structure on top of the asynchronous network – Enables control over the blocking – Delay bounds and message priorities may be implemented • Trade off: – Network is no longer asynchronous – Under low traffic load, messages suffer delay due to synchronous protocol overhead QoS support via Synchronous framework • Similar to dedicated traffic channels • Use timed-token to control traffic streams • Provides tighter delay bounds and bandwidth guarantees • Target Token Rotation Time TTRT limit the amount of transmission • Average delay = TTRT • Worst case delay = 2 * TTRT How to support timed token • Dedicated unidirectional ring is embedded in the network • Attributes of Token scheme: -fair -deadlock free Issues • Number of host interfaces – Caused by interaction of QoS & non-QoS traffic – QoS traffic travel on core ring while non-QoS travel on other links not on ring – If host with one interface is busy receiving nonQoS message, a QoS message will suffer delay – QoS message must have preemptive priority • To increase non-QoS throughput, embedded ring may be used if bandwidth is not completely taken by QoS traffic Continued • Scalability: – throughput performance maintained by increasing TTRT parameter – Allows nodes to transmit for longer time when they have the token – Causes less capability to provide tight delay bounds Virtual Channel Based QoS • Each link is split into two different sets of virtual channels used for datagram and QoS traffic • Each input port buffer of switch is split into several disjoint buffers • Link between node and input port of switch is a collection of virtual channels • Allows worms to be interleaved • Give QoS traffic priority in the network Non-preemptive priority • A worm arriving at QoS virtual channel does not get transmitted right away • Current worm (datagram or QoS) being transmitted on outgoing link must either complete or get blocked • Then, scan QoS virtual channels before datagram channels to schedule the worm for transmission on outgoing link • Easy to apply preemptive priority by making arrived worm preempt datagram worm at the QoS virtual channel Implementation • Preemptive and non-preemptive implementation require intelligence switch • At a switch: – monitor all traffic passing – Schedule QoS & non-QoS traffic according to protocol • Harder to implement preemtive: – Switch must check arrival of QoS traffic at any input port before transmitting non-QoS flit from output port Advantage of virtual channels • Network appears the same for both traffic • Intelligent switches allocate bandwidth as required to support QoS • Can provide delay jitter bounds • Bandwidth guarantee is provided by employing call admission agent conclusions • Wormhole routing networks provide low latency, high bandwidth support for datagram traffic • To support QoS traffic is a challenge • Dedicated QoS subnet with pacing and call admission control can support QoS • Synchronous framework on top of asynchronous network provides guaranteed bandwidth and delay • Virtual channels with priority mechanism also is effective way to support QoS