Implementing RPC by Birrell & Nelson

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Presentation transcript:

Implementing RPC by Birrell & Nelson Basic model, design decisions made, and implementation details are discussed

Environment Part of Cedar Project Basic Idea: Dorado platform Programming lang.: mesa, smalltalk, InterLisp, no asm Basic Idea: Extend well-known procedure call mechanism to provide transfer of control and data over a communication network Procedure call: based on call/return semantic Remote proc call: call/return semantic across network

Advantages and Goals Advantages: Goals: Simple semantics: well-known and well-understood mechanism Efficiency: simple for comm to be fast General: comm b/w parts of algorithm is through procedure calls Goals: Make distr computation easy Make RPC comm efficient Make semantics of RPC as powerful as possible Provide a secure comm

Design Decisions Precise semantics of a call in presence of machine and comm failures, No timeout Address-containing arguments Binding: how a caller identifies loc and ID of callee Provide transparent integration: semantics of RPC = those of PC, compiler/runtime support: stubs and RPCRuntime

Structures Stubs import & export of an interface Automatically generated by a program Lupine Based on an interface: a list of proc names, types of arguments and results for each Pointer args/results: no support import & export of an interface

Binding Name of Interface: type and instance Type: which interface to implement, mail server Instance: which particular implementor, Locating a service: hard-code address, broadcast, a database (dictionary service) Use: Grapevine dist db Distr over multiple servers ≥ 3 copies of each db entry: reliable, available via replicas Server: at sturt-up, exports its interface (to Grapevine) by telling its dispatcher Client: before calls, imports server: RPC runtime to Grapevine, connection setup via server

Binding Exporting: interface name, and dispatcher proc On exporting machine: export table, record for each export (interface name, dispatch proc, (machine relative) unique id

Binding Discussion Updates to Grapevine db: restricted via access controls, set of users able to export particular interface names Choices for binding time: İmporter tells only type of interface, instance:dynamically chosen İmporter tells type and instance, most common İmporter tells net @ of an instance (binding occurs at compile time)

Transport protocols Transport protocal specific for RPC, improved performance, 10x Minimize latency: request-reply unlikely to do large data transfer, no conn setup Call semantics:# of times procedure is executed Exactly once: hard to achieve due to server and net failures At most once: not executed at all or executed once At least once: at least once but perhaps more, client keeps trying

Simple Calls When all of args fit in a single packet, Call packet: <call id, proc id, args> Result packet: <call id, results> Ack: piggybacked on result packets: Min 2 packets per call Call identifier To match result packet with correct call packet Eliminate duplicate call packets: callee maintains a table of sequence numbers

Complicated Calls Use multiple packets to send args and results For duplicate elimination, call relative sequence number Explicit ack is required for each but last to handle lost packests, long duration calls, long gaps b/w calls Probe packets: caller periodically sends to callee for long duration calls

Conclusion Security: Performance and Drawbacks Use Grapevine as an authentication service Use DES (data enc std) to provide end-to-end encription of calls and results Protection against eavesdropping, detection of modification, replay and fake calls Performance and Drawbacks Remote calls measurements b/w two machines are reported: Restriction on arg sizes and types Binding errors