Date: Thu, 28 Mar 2024 21:30:12 +0000 (UTC)
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Subject: Exported From Confluence
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This section describes the subsystems responsible for ONOS's dis=
tributed functionalities. This includes information distribution and synchr=
onization, cluster management, and device mastership management.
Overview
A multi-instance ONOS deployment is a cluster =
of one or more ONOS instances, or nodes, each wit=
h an unique NodeId.
Each node in a clust=
er is aware of the state of a subsection of the network. The state informat=
ion local to a subsection is disseminated across the cluster as events, by =
the node that manages the subsection. The events are generated in the store=
, and are shared with all of the nodes in a cluster via distributed mechani=
sms built into the various services' distributed stores.
In addition to data distribution=
, an ONOS cluster must:
- Detect and handle nodes joining and leaving the cluster
- Delegate control over devices, such that any given device has one prima=
ry controller
The first item is managed by the Cluster subsystem, which conta=
ins Cluster and Mastership management. The remaining sections elaborate on =
the distributed store, and describe the functions of these managers.
Distributed Stores
Depending on the requirements of a service, how the contents of a store =
is distributed between nodes can have different characteristics (e.g. stron=
gly consistent, eventually consistent, ...). This is made possible by havin=
g each service's store implement the appropriate distribution mechanism. Historically, the store for Mastership management used Hazelcast's =
;distributed structures as a strongly consistent backend.=
Since v1.4 the Atomix framework is used instead. The stores for Device, Li=
nk, and Host management uses an optimistic replication technique complement=
ed by a background gossip protocol to ensure eventual con=
sistency.
Simply put, the same subsystems of two different nodes synchronize=
directly with one another through the Store. The Store only synchronizes t=
he states of the subsystem that it is part of; A DeviceStore
, =
for example, only knows about the state of devices, and does not have any k=
nowledge of how host or link information is tracked. The figure below summa=
rizes this for two nodes and a subsystem "A" that is part of both.=
p>
At the time of this writing, all services with the exception of to=
pology management have access to distributed stores. The distributed t=
opology store simply relies on the distributed versions of the device, link=
and host stores.
Event ordering
For the eventually consistent stores, events are partially ordered=
with an approach similar to vector clocks. The logical clock used by the <=
code>DeviceStore and LinkStore
is a combination of the =
number of mastership hand-offs for a device since its discovery (its te=
rm number), and a sequence number local to the node that is incre=
mented per observed event. The HostStore
relies on system time=
(the wall clock), due to the lifespan of Host objects and th=
eir mobility that prevents them from being tied to a particular device. The=
mechanisms of the device-based logical clock are detailed further in the n=
ext section, Network Topol=
ogy State.
Cluster Management
The Cluster subsystem is responsible for the following:
- Keeping track of the membership of a cluster
- Delegating identifiers to nodes, in the form of
NodeId
s
- Providing the notion of a local node, similar to localhost=
The Distribut=
edClusterStore
historically leverages Hazelcast for its clu=
ster membership facilities by implementing Hazelcast's MembershipListener
, and using =
it to translate MembershipEvent
s into ONOS =
ClusterEvent
s. It also relies on it for the setup and manag=
ement of the multicast group used for inter-store communication.
Since v1.4 Hazelcast has been re=
placed by the Atomix framework. This change was motivated by managing the r=
ecovery from split-brain situations. Since Atomix is based on the RAFT cons=
ensus algorithm, the cluster must be composed by an odd number of member co=
ntroller nodes. Previously supported 2- or 4-node deployments shall be repl=
aced by 3- and 5-node deployments.
Device Mastership=
Management
A =
device is free to connect to one or more nodes in a cluster. Th=
e three roles that a node can take with respect to a device are:
NONE=
: The node may or may not have knowledge of the device, and ca=
nnot interact with it.
STANDBY=
em>
: The node has knowledge of the device, and can read the st=
ate of, but not manage (write to) the device.
MASTER
: the node has knowledge of the device, and has full control=
of (read-write access to) the device.
These three roles map to the NONE, SL=
AVE, and MASTER roles specified by OpenFlow v1.2<, respectively, and are=
defined by the enum MastershipRole
. The mastersh=
ip subsystem is responsible for guaranteeing that every device has exactly one MASTER at any given=
time, and that the rest are either STANDBY or NONE. The following sections describe how the =
service assigns and reassigns roles, and recovers role assignments after va=
rious types of failures.
Node Mastershi=
p Lifecycle
A node begins in the NONE role. In current implementations, the first no=
de to confirm that 1) the device has no master tied to it, and 2) has a con=
trol channel connection to the device, becomes its master. Any other nodes =
that subsequently discover the device become either STANDBY, if it has a co=
nnection to the device, or remain as NONE otherwise. The last case occurs when the DeviceService
detects a =
device indirectly through the distributed store, or if a previously connect=
ed device disconnects. The mapping =
of roles, nodes, and devices are kept in the MastershipStore
a=
s a distributed map of DeviceId
s to RoleValue
model objects.
The established roles can change as a=
result of various events. We currently consider the following events:
- Administrativ=
e intervention : an operator manually sets the role of a device
- Disconnection=
of/from a device : the node loses control channel connectivity to a device=
- Disconnection=
from the cluster (Split-brain syndrome)
The MastershipManager
re=
sponds to these role-changing events with role relinquishment=
and reelection to maintain the "at most one master per=
device" policy, and to ensure that a node incapable of properly handling a=
device doesn't get elected into mastership.
Role relinquishment
A node that relinquishes its role giv=
es its current role up to fall back to the NONE role. A node will relinquis=
h its role for a device if:
- It loses its connection to a device,=
or the device fails
- It becomes part of the minority duri=
ng a split-brain situation
- An administrative command sets its r=
ole to NONE
- Consistency checks fail, e.g if an O=
penFlow device responds to a RoleRequest with an error, or unanticipated ma=
stership changes occur
=
Reelection
A node resigning from mastership may =
elect another node to become the new master for a device. Reasons for reele=
ctions include:
- Failure (role relinquishment) of a m=
aster node
- Device disconnection from a master n=
ode
- Administrative demotion of a master =
to either STANDBY or NONE
A candidate node is selected from the=
pool of known standby nodes for a device. Currently, this pool is a ordered list of NodeID
s in =
preference order. This enables the relinquishing node to simply choose the =
next node on the list to ensure that the candidate is the next-best choice.=
The candid=
ate can choose to become the new master, or facing failure scenarios, appoi=
nt another candidate upon role relinquishment. Reelection can occur up=
to N times, given that there are N standby nodes for the device. Such a ch=
ain of handoffs can arise if the device fully disconnects from the control =
plane, and this mechanism serves to prevent endless reelections.
Handling Split-brain Scenarios
Given that a cluster splits into two =
of different sizes, the nodes in the smaller cluster will relinquish their =
roles, or, incapable of doing so, members of the larger cluster will force =
reelections for devices whose master nodes became part of the smaller clust=
er. The MastershipManager
determines whether it is in t=
he minority or majority by querying the ClusterService.
Hi=
storically, the ONOS implementation (based on Hazelcast) does not handle th=
e case where the partitions are equal in size, and both ar=
e still connected to the network. Since v1.4, the Atomix framework ensures =
that this situation would not occur, since the number of controller cluster=
members are always odd (usually 3 or 5).
Relation to the Devi=
ce Subsystem
Th=
e Device subsystem uses the role information maintained by the Master=
shipManager
in order to determine which nodes are allowed to interac=
t in what way with the devices that it has knowledge about. The Maste=
rshipManager
also listens for device events as cues to force role re=
elections and relinquishments. Finally, any role-related control messages=
to and from the network, such as OpenFlow RoleRequests and RoleReplies, mu=
st be sent and received via DeviceProvider
s; therefore, the De=
viceService must manipulate the network on behalf of the MastershipService.&nb=
sp;
<=
/p>
Previ=
ous : Distributed Operation
=
span>Next : Network Topolo=
gy State
<=
/p>
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