Background and overview.
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#lang scribble/manual
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@require[racket/include]
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@include{prelude.inc}
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@title{Background}
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@section{Network programming in the small}
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Even the simplest of programs can be seen as a network. This program
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sends a message containing @racket[3] and @racket[4] to @racket[+],
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and awaits a reply message, which contains @racket[7]:
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@interaction[(+ 3 4)]
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Subroutines are network services. Here, when the message @racket[3] is
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sent to @racket[add-four-to], it delegates to @racket[+]:
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@interaction[(define (add-four-to n) (+ n 4))
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(add-four-to 3)]
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@note{In π-calculus encodings of programs, replication and state are
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made explicit.} Immutable programs (of which stateless programs are a
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special case) are easily able to be @emph{replicated}; programs using
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mutable state, however, must be fixed in place. In fact, strictly
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speaking, it is the @emph{state} that must be fixed in place, not the
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program @emph{manipulating} the state. In the following program, the
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mutable @racket[total] variable must not be replicated:
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@interaction[(define accumulate
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(let ((total 0))
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(lambda (n)
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(set! total (+ total n))
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total)))
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(accumulate 3)
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(accumulate 4)
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(accumulate 0)]
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It would be a mistake to simply replace each occurrence of
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@racket[accumulate] with its definition, since three separate
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@racket[total] locations would be created. However, there is no
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problem replicating the @racket[lambda] term, so long as
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@racket[total] always refers to the same location:
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@interaction[(define total 0)
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((lambda (n) (set! total (+ total n)) total) 3)
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((lambda (n) (set! total (+ total n)) total) 4)
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((lambda (n) (set! total (+ total n)) total) 0)]
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Programs raise exceptions to signal partial failure:
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@interaction[(define accumulate
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(let ((total 0))
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(lambda (n)
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(when (negative? n)
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(error 'accumulate "n must be non-negative!"))
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(set! total (+ total n))
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total)))
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(accumulate 3)
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(accumulate -2)]
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Programs can handle exceptions to @emph{contain} partial failure:
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@interaction[(with-handlers ([exn:fail? (lambda (e) 'ok)])
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(error 'oh-dear))]
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Partial failures interact with shared, mutable state in unpredictable
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ways, especially in larger programs that combine stateful subprograms.
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Programmers often ignore issues of security and trust between
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subprograms within a larger program. Most programming languages
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entirely lack any means of securely isolating subprograms from each
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other, leading to predictable failures. Even memory-safe languages
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such as Racket, Java and .NET only offer weak techniques for securely
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composing mutually suspicious subprograms. Techniques such as avoiding
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@emph{ambient authority} and using @emph{object capabilities} to
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compose subprograms
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TODO ^
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@section{Network programming in the large}
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Programs which engage in I/O are very obviously part of a network:
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@racketblock[(define username (read-line))
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(printf "Hello, ~a!\n" username)]
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But look closely! There is a difference here between the kind of communication
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This program is more obviously composed of a number of moving pieces:
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@interaction[(let ((b (box 3)))
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(set-box! b (+ (unbox b) 4))
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(unbox b))]
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@interaction[(define (add-three-to b)
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(set-box! b (+ (unbox b) 3)))
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(define (add-four-to b)
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(set-box! b (+ (unbox b) 4)))
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(define my-box (box 0))
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(add-three-to my-box)
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(add-four-to my-box)
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(unbox my-box)]
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@ -4,25 +4,13 @@
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@title{Concepts}
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In this paper, we present a novel "marketplace" approach to
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functional systems programming, generalizing
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Felleisen et al.'s "Worlds and Universes" approach to
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functional I/O
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[ICFP 2009]. We integrate ideas from both distributed systems
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We integrate ideas from both distributed systems
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and virtualized operating system designs to obtain a novel
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architecture of nested virtual machines. Each nested layer is equipped with
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its own publish/subscribe network that also propagates information
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about the (dis)appearance of services. Our paper presents
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several case studies, including a recursive DNS resolver that
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has served our lab's DNS traffic for the past nine months.
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about the (dis)appearance of services.
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Our goal is to reconcile this tension, starting from the "Worlds
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and Universes" approach to functional I/O and
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generalizing to
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functional systems programming. We augment
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its inherent support for concurrency with publish/subscribe (pub/sub)
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messaging, a notion of presence, and
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nestable virtual machines (VMs). The result suggests a @emph{
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The result suggests a @emph{
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marketplace} metaphor, where communicating programs exist in a
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noisy, crowded, even chaotic context, rather than in a quiet place
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systematically going through their inboxes.
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@ -2,16 +2,71 @@
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@require[racket/include]
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@include{prelude.inc}
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@title[#:tag "marketplace"]{Marketplace: A Functional Operating System}
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@title[#:tag "marketplace"]{Marketplace: Network-Aware Programming}
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@;{Marketplace: A Functional Operating System}
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@;{Marketplace: A Functional Network Operating System}
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@;{Marketplace: A Functional Distributed Operating System}
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@author[(author+email "Tony Garnock-Jones" "tonyg@ccs.neu.edu")]
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@defmodulelang[marketplace]
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@bold{Every program is a network.}
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This is the insight behind the π-calculus. Encoding a program as a
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π-calculus term shows it as a network of communicating processes. It
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is also one of the original inspirations for Smalltalk, where every
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object, every value, was imagined to be a separate computer in a vast
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network, and where objects communicated by message-passing.
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This manual TODO (overview & motivation)
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@bold{Every program is part of a network.}
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A program that computes a result but cannot communicate it is useless
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indeed. Every complete program both @emph{computes} and
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@emph{communicates}. Furthermore, it does so with some finite set of
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@emph{resources}, which it must carefully manage.
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@bold{Our programming languages do not recognise that every program is
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a network.} They blur the distinction between stateful and stateless
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portions of a program, making it difficult for programmers to reason
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about concurrency, contention, and distribution. They often treat
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partial failure as an afterthought, despite its importance in
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reasoning about program behaviour, particularly in connection with the
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effect of exceptions on stateful programs. They seldom consider issues
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of trust and security.
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@bold{Our programming languages do not recognise that every program is part of a network.}
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They treat communication with the outside world in an ad-hoc manner.
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They frequently treat network communication separately from
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@tt{1950s-style terminal input and output}. They force the programmer
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to divine failures in other parts of the network by arcane means such
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as timeouts and examining the entrails of dead communication channels.
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They offer no support for allocating or releasing local resources in
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response to changes in other parts of the network. They seldom
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consider issues of trust and security.
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@bold{Marketplace is a network-aware programming language.} As a
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corollary, because every program not only computes but also
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communicates and manages its resources, Marketplace is also a
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distributed operating system.
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By recognising that programs communicate both
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@emph{internally} (between subprograms) and @emph{externally} (between
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peers), we recognise an inherently recursive layered architecture. We
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see at every level the @emph{same} concerns of resource management,
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location of mutable state, failure detection and recovery, access
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control, I/O and user interface, debugging and profiling.
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Marketplace addresses these concerns with a small set of primitives
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chosen to make network programming in-the-small as flexible, scalable,
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manageable and securable as network programming in-the-large---and
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vice versa.
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@;{
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Networks must be manageable. Networks must be monitorable. Networks
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must tolerate partial failure. Networks must scale. Networks must
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communicate with other networks, via yet other networks.
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}
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@local-table-of-contents[]
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@include-section["background.scrbl"]
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@include-section["concepts.scrbl"]
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@include-section["highlevel.scrbl"]
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@include-section["lowlevel.scrbl"]
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@ -1,5 +1,6 @@
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;; -*- scheme -*-
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(require scribble/racket
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scribble/eval
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scriblib/footnote
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(for-syntax racket)
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(for-label typed/racket/base))
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