distributed systems
play

Distributed Systems CS425/ECE428 02/14/2020 Todays agenda - PowerPoint PPT Presentation

Distributed Systems CS425/ECE428 02/14/2020 Todays agenda Multicast (contd.) Chapter 15.4 Implementing ordered multicast. Acknowledgement: Materials derived from Prof. Indy Gupta, Prof. Nitin Vaidya, and Prof. Nikita


  1. Distributed Systems CS425/ECE428 02/14/2020

  2. Today’s agenda • Multicast (contd.) • Chapter 15.4 • Implementing ordered multicast. • Acknowledgement: • Materials derived from Prof. Indy Gupta, Prof. Nitin Vaidya, and Prof. Nikita Borisov.

  3. Logistics • Midterm on March 2 nd 7-9pm. • Please let us know of any conflicts by Monday. • HW2 will be released tonight. • Due on Feb 27 th . • Still have people who do not have CampusWire access! • Please email the instructors and make sure you have access.

  4. Recap: Multicast • Useful communication mode in distributed systems: • Writing an object across replica servers. • Group messaging. • ….. • Basic multicast (B-multicast): unicast send to each process in the group. • Does not guarantee consistent message delivery if sender fails. • Reliable multicast (R-mulicast): • Defined by three properties: integrity, validity, agreement . • If some correct process multicasts a message m , then all other correct processes deliver the m (exactly once). • When a process receives a message ‘m’ for the first time, it re-multicasts it again to other processes in the group.

  5. Recap: Ordered Multicast • FIFO ordering • If a correct process issues multicast( g , m ) and then multicast( g , m’ ), then every correct process that delivers m’ will have already delivered m. • Causal ordering • If multicast( g , m ) à multicast( g , m’ ) then any correct process that delivers m’ will have already delivered m . • Note that à counts messages delivered to the application, rather than all network messages. • T otal ordering • If a correct process delivers message m before m’ (independent of the senders), then any other correct process that delivers m’ will have already delivered m .

  6. Multicast Ordering Example Online bulletin board From Subject Item 23 A.Hanlon Mach 24 G.Joseph Microkernels 25 A.Hanlon Re: Microkernels 26 T.L’Heureux RPC performance 27 M.Walker Re: Mach end

  7. Multicast Ordering Example Online bulletin board From Subject Item 23 A.Hanlon Mach 24 G.Joseph Microkernels 25 A.Hanlon Re: Microkernels 26 T.L’Heureux RPC performance 27 M.Walker Re: Mach end If we swap items 23 and 24, does that satisfy FIFO order? Yes

  8. Multicast Ordering Example Online bulletin board From Subject Item 23 A.Hanlon Mach 24 G.Joseph Microkernels 25 A.Hanlon Re: Microkernels 26 T.L’Heureux RPC performance 27 M.Walker Re: Mach end If we swap items 24 and 25, does that satisfy FIFO order? Yes

  9. Multicast Ordering Example Online bulletin board From Subject Item 23 A.Hanlon Mach 24 G.Joseph Microkernels 25 A.Hanlon Re: Microkernels 26 T.L’Heureux RPC performance 27 M.Walker Re: Mach end If we swap items 24 and 25, does that satisfy causal order? No

  10. Multicast Ordering Example Online bulletin board From Subject Item 23 A.Hanlon Mach 24 G.Joseph Microkernels 25 A.Hanlon Re: Microkernels 26 T.L’Heureux RPC performance 27 M.Walker Re: Mach end If we swap items 23 and 24 for one process displaying the bulletin and not for another, does that satisfy FIFO order? Yes

  11. Multicast Ordering Example Online bulletin board From Subject Item 23 A.Hanlon Mach 24 G.Joseph Microkernels 25 A.Hanlon Re: Microkernels 26 T.L’Heureux RPC performance 27 M.Walker Re: Mach end If we swap items 23 and 24 for one process displaying the bulletin and not for another, does that satisfy total order? No

  12. Multicast Ordering Example Online bulletin board From Subject Item 23 A.Hanlon Mach 24 G.Joseph Microkernels 25 A.Hanlon Re: Microkernels 26 T.L’Heureux RPC performance 27 M.Walker Re: Mach end If we swap items 24 and 25 for all processes displaying the bulletin does that satisfy causal order? No

  13. Multicast Ordering Example Online bulletin board From Subject Item 23 A.Hanlon Mach 24 G.Joseph Microkernels 25 A.Hanlon Re: Microkernels 26 T.L’Heureux RPC performance 27 M.Walker Re: Mach end If we swap items 24 and 25 for all processes displaying the bulletin does that satisfy total order? Yes

  14. Next Question How do we implement ordered multicast?

  15. Ordered Multicast • FIFO ordering • If a correct process issues multicast( g , m ) and then multicast( g , m’ ), then every correct process that delivers m’ will have already delivered m. • Causal ordering • If multicast( g , m ) à multicast( g , m’ ) then any correct process that delivers m’ will have already delivered m . • Note that à counts messages delivered to the application, rather than all network messages. • T otal ordering • If a correct process delivers message m before m’ (independent of the senders), then any other correct process that delivers m’ will have already delivered m .

  16. Implementing FIFO order multicast Application (at process p) FO-multicast(g,m) FO-deliver(m) ?? B-multicast(g,m) B-deliver(m) Incoming messages

  17. Implementing FIFO order multicast • Each receiver maintains a per-sender sequence number • Processes P 1 through P N • P i maintains a vector of sequence numbers P i [1…N] (initially all zeroes) • P i [ j ] is the latest sequence number P i has received from P j

  18. Implementing FIFO order multicast • On FO-multicast(g,m) at process P j : set P j [ j ] = P j [ j ] + 1 piggyback P j [ j ] with m as its sequence number. B-multicast(g,{m, P j [ j ]}) • On B-deliver({m, S}) at Pi from Pj: If Pi receives a multicast from Pj with sequence number S in message if (S == P i [ j ] + 1) then FO-deliver(m) to application set P i [ j ] = P i [ j ] + 1 else buffer this multicast until above condition is true

  19. FIFO order multicast execution P1 [0,0,0,0] Time P2 [0,0,0,0] P3 [0,0,0,0] P4 [0,0,0,0]

  20. FIFO order multicast execution P1 [0,0,0,0] Time P2 [0,0,0,0] P3 [0,0,0,0] Sequence Vector Do not confuse with vector timestamps! P4 Pi[i] , is the no. of messages Pi multicast (and [0,0,0,0] delivered to itself). Pi[j] ∀ j ≠ i is no. of messages delivered at Pi from Pj.

  21. FIFO order multicast execution P1 [0,0,0,0] Time P2 [0,0,0,0] P3 [0,0,0,0] P4 [0,0,0,0]

  22. FIFO order multicast execution P1 [0,0,0,0] Time P2 [0,0,0,0] P3 [0,0,0,0] P4 [0,0,0,0] Self-deliveries omitted for simplicity.

  23. FIFO order multicast execution [1,0,0,0] P1 P1, seq: 1 [0,0,0,0] Time P2 [0,0,0,0] [1,0,0,0] Deliver! P3 [0,0,0,0] P4 [1,0,0,0] [0,0,0,0] Deliver!

  24. FIFO order multicast execution [1,0,0,0] [2,0,0,0] P1 P1, seq: 1 [0,0,0,0] P1, seq: 2 Time P2 [0,0,0,0] [1,0,0,0] Deliver! P3 [0,0,0,0] [0,0,0,0] Buffer! P4 [1,0,0,0] [0,0,0,0] Deliver!

  25. FIFO order multicast execution [1,0,0,0] [2,0,0,0] P1 P1, seq: 1 [0,0,0,0] P1, seq: 2 [2,0,0,0] Time Deliver! P2 [0,0,0,0] [1,0,0,0] Deliver! P3 [0,0,0,0] [0,0,0,0] Buffer! P4 [1,0,0,0] [1,0,0,0] [0,0,0,0] Deliver this! Deliver! Deliver buffered <P1, seq:2> Update [2,0,0,0]

  26. FIFO order multicast execution [2,0,1,0] [1,0,0,0] [2,0,0,0] P1 Deliver! P1, seq: 1 [0,0,0,0] P1, seq: 2 [2,0,0,0] Time Deliver! [2,0,1,0] P2 Deliver! [0,0,0,0] [1,0,0,0] Deliver! P3, seq: 1 P3 [2,0,1,0] [0,0,0,0] [0,0,0,0] Buffer! P4 [1,0,0,0] [1,0,0,0] [0,0,0,0] Deliver this! Deliver! Deliver buffered <P1, seq:2> Update [2,0,0,0]

  27. FIFO order multicast execution [1,0,0,0] [2,0,0,0] [2,0,1,0] P1 Deliver! P1, seq: 1 [2,0,0,0] [0,0,0,0] P1, seq: 2 Time Deliver! [2,0,1,0] P2 Deliver! [0,0,0,0] [1,0,0,0] [1,0,1,0] Deliver! Deliver! P3, seq: 1 P3 [2,0,1,0] [0,0,0,0] [0,0,0,0] [2,0,1,0] Buffer! Deliver! P4 [1,0,0,0] [1,0,0,0] [0,0,0,0] Deliver this! Deliver! Deliver buffered <P1, seq:2> Update [2,0,0,0]

  28. Implementing FIFO order multicast • On FO-multicast(g,m) at process P j : set P j [ j ] = P j [ j ] + 1 piggyback P j [ j ] with m as its sequence number. B-multicast(g, {m, P j [ j ]}) • On B-deliver({m, S}) at Pi from Pj: If Pi receives a multicast from Pj with sequence number S in message if (S == P i [ j ] + 1) then FO-deliver(m) to application set P i [ j ] = P i [ j ] + 1 else buffer this multicast until above condition is true

  29. Implementing FIFO reliable multicast • On FO-multicast(g,m) at process P j : set P j [ j ] = P j [ j ] + 1 piggyback P j [ j ] with m as its sequence number. R-multicast(g,{m, P j [ j ]}) • On R-deliver({m, S}) at Pi from Pj: If Pi receives a multicast from Pj with sequence number S in message if (S == P i [ j ] + 1) then FO-deliver(m) to application set P i [ j ] = P i [ j ] + 1 else buffer this multicast until above condition is true

  30. Ordered Multicast • FIFO ordering: If a correct process issues multicast( g , m ) and then multicast( g , m’ ), then every correct process that delivers m’ will have already delivered m. • Causal ordering: If multicast( g , m ) à multicast( g , m’ ) then any correct process that delivers m’ will have already delivered m . • Note that à counts messages delivered to the application, rather than all network messages. • T otal ordering : If a correct process delivers message m before m’ (independent of the senders), then any other correct process that delivers m’ will have already delivered m .

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend