Communication Paradigms - Connect

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Group <strong>Communication</strong>: An Initial Example of Indirection What is group communication? Based on the concept of a group abstraction, with operations provided to join and leave the group (cf. group membership) Messages sent to a group rather than to any individual process and messages are then delivered to each member of the group Often enhanced by guarantees in terms of message ordering and reliability Uses in distributed systems Important in supporting fault-tolerance e.g. supporting replication Also used heavily in dissemination of events e.g. in financial systems Key examples include JGroups and Isis See lecture on coordination and agreement Adv. Dist. Systems G. Blair/ F. Taiani 26
A Typical Group Service interface Group<strong>Communication</strong>Service { appli appli } // creates a new group and returns the groups ID public GroupID groupCreate(); // Adding & Removing a member to/from a group public void groupJoin ( GroupID group, Participant member); public void groupLeave ( GroupID group, Participant member); // multicasts a message to the named group with // the specified delivery semantics, and // optionally collects a number of replies group comm public Messages[] multicast ( GroupID group, OrderType order, Messages message, int nbReplies) group comm Adv. Dist. Systems G. Blair/ F. Taiani 27
Page 1 and 2: Advanced Distributed Systems Commun
Page 3 and 4: A Framework for Understanding Distr
Page 5 and 6: The Problem: A Social Network Syste
Page 7 and 8: Interprocess Communication
Page 9 and 10: Other Approaches Message passing,
Page 11 and 12: Remote Invocation: Remote Procedure
Page 13 and 14: Styles of RPC First class RPC Int
Page 15 and 16: Interface Definition Languages Wha
Page 17 and 18: Remote Invocation: Remote Method In
Page 19 and 20: From RPC to Distributed Objects (Re
Page 21 and 22: Indirect Communication: General
Page 23 and 24: A Closer Look at Coupling Remote i
Page 25: Indirect Communication: Group Commu
Page 29 and 30: Problems Reliability (against loss
Page 31 and 32: Implementing Reliable Multicast
Page 33 and 34: Ordering Guarantees Unordered mult
Page 35 and 36: Implementing Total Ordering The s
Page 37 and 38: Publish-Subscribe Systems What is
Page 39 and 40: A Closer Look at the Subscription
Page 41 and 42: Implementing Publish-Subscribe The
Page 43 and 44: Realising Content-based Approaches
Page 45 and 46: The Algorithm upon receive publish(
Page 47 and 48: Indirect Communication: Message Que
Page 49 and 50: Message Queues (continued) Adv. Dis
Page 51 and 52: Distributed Shared Memory What is
Page 53 and 54: Indirect Communication: Tuple Space
Page 55 and 56: Tuple Spaces(continued) Adv. Dist.
Page 57 and 58: Comparison of Approaches Adv. Dist.

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