By Mindy Preston - 2014-07-17
A critical part of any unikernel is its network stack -- it's difficult to think of a project that needs a cloud platform or runs on a set-top box with no network communications.
Mirage provides a number of module types that abstract interfaces at different layers of the network stack, allowing unikernels to customise their own stack based on their deployment needs. Depending on the abstractions your unikernel uses, you can fulfill these abstract interfaces with implementations ranging from the venerable and much-imitated Unix sockets API to a clean-slate Mirage TCP/IP stack written from the ground up in pure OCaml!
A Mirage unikernel will not use all these interfaces, but will pick those that
are appropriate for the particular application at hand. If your unikernel just
needs a standard TCP/IP stack, the STACKV4
abstraction will be sufficient.
However, if you want more control over the implementation of the different
layers in the stack or you don't need TCP support, you might construct your
stack by hand using just the NETWORK, ETHIF, IPV4 and UDPV4 interfaces.
Mirage provides a high-level interface to a TCP/IP network stack through the module type
STACKV4.
(Currently this can be included with open V1_LWT
, but soon open V2_LWT
will also bring this module type into scope as well when Mirage 2.0 is released.)
(** Single network stack *)
module type STACKV4 = STACKV4
with type 'a io = 'a Lwt.t
and type ('a,'b,'c) config = ('a,'b,'c) stackv4_config
and type ipv4addr = Ipaddr.V4.t
and type buffer = Cstruct.t
STACKV4
has useful high-level functions, a subset of which are reproduced below:
val listen_udpv4 : t -> port:int -> UDPV4.callback -> unit
val listen_tcpv4 : t -> port:int -> TCPV4.callback -> unit
val listen : t -> unit io
as well as submodules that include functions for data transmission:
module UDPV4 :
sig
type callback =
src:ipv4addr -> dst:ipv4addr -> src_port:int -> buffer -> unit io
val input :
listeners:(dst_port:int -> callback option) -> t -> ipv4input
val write :
?source_port:int ->
dest_ip:ipv4addr -> dest_port:int -> t -> buffer -> unit io
module TCPV4 :
sig
type flow
type callback = flow -> unit io
val read : flow -> [ `Eof | `Error of error | `Ok of buffer ] io
val write : flow -> buffer -> unit io
val close : flow -> unit io
val create_connection :
t -> ipv4addr * int -> [ `Error of error | `Ok of flow ] io
val input : t -> listeners:(int -> callback option) -> ipv4input
These should look rather familiar if you've used the Unix sockets API before, with one notable difference: the stack accepts functional callbacks to react to events such as a new connection request. This permits callers of the library to define the precise datastructures that are used to store intermediate state (such as active connections). This becomes important when building very scalable systems that have to deal with lots of concurrent connections efficiently.
The STACKV4
signature shown so far is just a module signature, and you
need to find a concrete module that satisfies that signature. The known
implementations of a module can be found in the mirage
CLI frontend,
which provids the configuration API for unikernels.
There are currently two implementations for STACKV4
: direct
and socket
.
module STACKV4_direct: CONFIGURABLE with
type t = console impl * network impl * [`DHCP | `IPV4 of ipv4_config]
module STACKV4_socket: CONFIGURABLE with
type t = console impl * Ipaddr.V4.t list
The socket
implementations rely on an underlying OS kernel to provide the
transport, network, and data link layers, and therefore can't be used for a Xen
guest VM deployment. Currently, the only way to use socket
is by configuring
your Mirage project for Unix with mirage configure --unix
. This is the mode
you will most often use when developing high-level application logic that doesn't
need to delve into the innards of the network stack (e.g. a REST website).
The direct
implementations use the mirage-tcpip implementations of the
transport, network, and data link layers. When you use this stack, all the network
traffic from the Ethernet level up will be handled in pure OCaml. This means that the
direct
stack will work with either a Xen
guest VM (provided there's a valid network configuration for the unikernel's
running environment of course), or a Unix program if there's a valid tuntap interface.
direct
this works with both mirage configure --xen
and mirage configure --unix
as long as there is a corresponding available device when the unikernel is run.
There are a few Mirage functions that provide IPv4 (and UDP/TCP) stack
implementations (of type stackv4 impl
), usable from your application code.
The stackv4 impl
is generated in config.ml
by some logic set when the
program is mirage configure
'd - often by matching an environment variable.
This means it's easy to flip between different stack implementations when
developing an application just be recompiling the application. The config.ml
below allows the developer to build socket code with NET=socket make
and
direct code with NET=direct make
.
let main = foreign "Services.Main" (console @-> stackv4 @-> job)
let net =
try match Sys.getenv "NET" with
| "direct" -> `Direct
| "socket" -> `Socket
| _ -> `Direct
with Not_found -> `Direct
let dhcp =
try match Sys.getenv "ADDR" with
| "dhcp" -> `Dhcp
| "static" -> `Static
| _ -> `Dhcp
with Not_found -> `Dhcp
let stack console =
match net, dhcp with
| `Direct, `Dhcp -> direct_stackv4_with_dhcp console tap0
| `Direct, `Static -> direct_stackv4_with_default_ipv4 console tap0
| `Socket, _ -> socket_stackv4 console [Ipaddr.V4.any]
let () =
register "services" [
main $ default_console $ stack default_console
]
Moreover, it's possible to configure multiple stacks individually for use in
the same program, and to register
multiple modules from the same config.ml
.
This means functions can be written such that they're aware of the network
stack they ought to be using, and no other - a far cry from developing network
code over most socket interfaces, where it can be quite difficult to separate
concerns nicely.
let client = foreign "Unikernel.Client" (console @-> stackv4 @-> job)
let server = foreign "Unikernel.Server" (console @-> stackv4 @-> job)
let client_netif = (netif "0")
let server_netif = (netif "1")
let client_stack = direct_stackv4_with_dhcp default_console client_netif
let server_stack = direct_stackv4_with_dhcp default_console server_netif
let () =
register "unikernel" [
main $ default_console $ client_stack;
server $ default_console $ server_stack
]
Most network applications will either want to listen for incoming connections
and respond to that traffic with information, or to connect to some remote
host, execute a query, and receive information. STACKV4
offers simple ways
to define functions implementing either of these patterns.
STACKV4
offers listen_tcpv4
and listen_udpv4
functions for establishing
listeners on specific ports. Both take a stack impl
, a named port
, and a
callback
function.
For UDP listeners, which are datagram-based rather than connection-based,
callback
is a function of the source IP, destination IP, source port, and the
Cstruct.t
that contains the payload data. Applications that wish to respond
to incoming UDP packets with their own UDP responses (e.g., DNS servers) can
use this information to construct reply packets and send them with
UDPV4.write
from within the callback function.
For TCP listeners, callback
is a function of TCPV4.flow -> unit Lwt.t
. STACKV4.TCPV4
offers read
, write
, and close
on flow
s for application writers to build higher-level protocols on top of.
TCPV4
also offers create_connection
, which allows client application code to establish TCP connections with remote servers. In success cases, create_connection
returns a TCPV4.flow
, which can be acted on just as the data in a callback
above. There's also a polymorphic variant for error conditions, such as an unreachable remote server.
Some very simple examples of user-level TCP code are included in mirage-tcpip/examples. config.ml
is identical to the first configuration example above, and will build a direct
stack by default.
Imagine a very simple application - one which simply repeats any data back to the sender, until the sender gets bored and wanders off (RFC 862, for the curious).
open Lwt
open V1_LWT
module Main (C: V1_LWT.CONSOLE) (S: V1_LWT.STACKV4) = struct
let report_and_close c flow message =
C.log c message;
S.TCPV4.close flow
let rec echo c flow =
S.TCPV4.read flow >>= fun result -> (
match result with
| `Eof -> report_and_close c flow "Echo connection closure initiated."
| `Error e ->
let message =
match e with
| `Timeout -> "Echo connection timed out; closing.\\n"
| `Refused -> "Echo connection refused; closing.\\n"
| `Unknown s -> (Printf.sprintf "Echo connection error: %s\\n" s)
in
report_and_close c flow message
| `Ok buf ->
S.TCPV4.write flow buf >>= fun () -> echo c flow
)
let start c s =
S.listen_tcpv4 s ~port:7 (echo c);
S.listen s
end
All the application programmer needs to do is define functionality in relation to flow
for sending and receiving data, establish this function as a callback with listen_tcpv4
, and start a listening thread with listen
.
An OCaml HTTP server, Cohttp, is currently powering this very blog. A simple static webserver using Cohttp is included in mirage-skeleton
.
The OCaml-TLS demonstration server announced here just a few days ago is also running atop Cohttp - source is available on Github.
Mirage's TCP/IP stack is under active development! Some low-level details are still stubbed out, and we're working on implementing some of the trickier corners of TCP, as well as doing automated testing on the stack. We welcome testing tools, bug reports, bug fixes, and new protocol implementations!