- Non\u00adguaranteed data is data that is never re\u00adtransmitted if
lost.<\/li> - Guaranteed data is data that must be retransmitted if lost,
and delivered to the client in the order it was sent.<\/li> - Most Recent State data is volatile data of which only the
latest version is of interest.<\/li> - Guaranteed Quickest data is data that needs to be delivered in
the quickest possible manner.
The networking model is divided into three major components as
shown in Figure 1:<\/li> - A Connection Layer that deals with notification and delivery
of packets between client and server. The features of this
layer along with a stream class provide the general
infrastructure on which the other layers are built.<\/li> - A Stream Layer which provides packet stream management. This
layer employs five stream managers to deal with events, object
mirroring, input move management, static data and string
compression. Each of the five stream managers provides
different data delivery guarantees.<\/li> - A Simulation Layer which manages all objects in the
simulation. A full description of this layer is outside the
scope of this article but several items are relevant: the
advancement of time, object scoping and client prediction.
Though Starsiege TRIBES employs a client\u00adserver connection model,
only a few of the stream managers are asymmetrical. Nothing
prevents this model from being used in peer\u00adto\u00adpeer or multiserver architectures.
Persistent Objects
Though polymorphic object persistence is not an integral part of
the networking model, it is a feature that is used extensively. A
large percentage of data transmission is done using persistent
objects and the polymorphic nature of the objects used to hide
the type and content of the data from the networking code.
Move
Manager
Stream Manager
Simulation Layer
Ghost
Manager
Event Manager
Datablock
Manager
String
Manager
Connection Manager
Platform Packet Module
Stream Layer
Connection Layer
Figure 1
Each class that is declared persistent registers a “class
representative” (ClassRep) object with the Persist manager and is
assigned a unique Class ID. The ClassRep is used by the Persist
manager to construct objects of the type it represents. By
mapping assigned Class IDs to ClassReps the Persist manager can
construct any persistent object given its class ID. This
construction by Class ID along with virtual read and write
methods provides basic polymorphic IO.
Writing an object into a stream is a two step process. First its
class ID is written, then the object’s virtual write method is
invoked. Reading an object involves reading the Class ID,
constructing the object using the Persist manager, and then
invoking its virtual read method. In this way both the object’s
class, and the data it reads and writes are hidden from the
stream managers.
Connection Layer
The Connection layer provides transmission of packets between
host machines and is divided into two modules, a platform packet
module and the Connection manager. The platform packet module
provides basic connectionless unreliable packet delivery,
currently implemented using standard UDP sockets. The Connection
manager provides a virtual connection between two hosts and while
it does not provide delivery guarantees, it does provide packet
delivery status notifications.
This notification guarantee is very important to the
architecture; a packet layer that supports only guaranteed or
non\u00adguaranteed packets would not be sufficient to support the
four basic data delivery modalities outlined above. How each
delivery mode is handled is delegated to a higher level \u00ad\u2013 the
connection manager only guarantees the correct notification of a
sent packet’s status. I.e., if a packet is notified as dropped it
was either dropped or delivered out of order (and subsequently
dropped), and if a packet is notified as delivered, it has been
delivered.
The Connection manager notifies the Stream layer of the status of
each packet in the order that they were sent. An overview of this
relationship is shown in Figure 2. Dropped packets are never retransmitted by the Connection manager; the Stream layer, and its
associated managers, handle all data guarantee mechanisms. Since
packets are never retransmitted, they are freed immediately after
transmission.
The Connection manager employs a sliding window protocol in order
to track the delivery of packets. When the window is full,
transmission stops until an Acknowledgment is received.
Acknowledgment of packets is only used to advance the window and
generate notification events. This protocol imposes an average
overhead of 3 bytes per packet.
Though not part of the protocol, an important feature of the
architecture is bit\u00adpacking provided by a custom bit stream
class. This class provides bit level read and write functions,
including read\/write functions for: a single bit, variable length
integers, variable length normalized floats, and Huffman
compressed strings. All packet data, including the header and the
sliding window protocol, are accessed through this stream. These
packing features are used extensively and virtually all data is
transmitted using the smallest number of bits possible.
Examples of bit packing using the bit stream.
Writing into the packet:
if (stream\u00ad>writeBool(updateDamage)) { \/\/ Uses 1 bit
stream\u00ad>writeInt(mDamageState, 2); \/\/ Uses 2 bits
if (mDamageState != Dead)
stream\u00ad>writeInt(mDamageLevel,6);
if (stream\u00ad>writeBool(mRepairActive))
Connection Layer
Connection Manager
Packet
Data
Packet Notify Event
Delivery Status
Stream Manager
Platform Packet Module
Packet
Data
Packet
Address
Data
Packet
Address
Data
Figure 2
stream\u00ad>writeInt(mRepairRate,4);
}
The matching read method:
if (stream\u00ad>readBool()) {
mDamageState = stream\u00ad>readInt(2);
if (mDamageState != Dead)
mDamageLevel = stream\u00ad>readInt(6);
mRepairActive = stream\u00ad>readBool();
if (mRepairActive)
mRepairRate = stream\u00ad>readInt(4);
}
Stream Layer
The Stream layer is comprised of a Stream manager and the Event,
Ghost, Move, Datablock and String managers. The Connection
manager deals with the frequency of packet transmission as well
as packet size and stream manager ordering. The individual
stream managers deal with the packing and delivering of data
including the various guarantee mechanisms. The String manager,
dealing primarily with the compression of string data, is not
covered in this article.
The Stream manager allocates and transmits packets to its
counterpart on a remote host. To control bandwidth, each Stream
manager has a packet update rate and size. These parameters are
set by the remote host\u2019s Stream manager and represent the amount
of data it\u2019s capable of receiving. Clients connecting to a
dedicated server set these values to represent the bandwidth of
their Internet connection. If a client is connecting to an ISP
with a 28.8 modem then it could set a rate of 10 packets per
second with a size of 200 to produce about 2K of data per second.
The client may change these parameters on the fly in response to
changes in line quality. To control its own out\u00adgoing bandwidth,
the server imposes a maximum bandwidth per client based on its
own connection quality.
Packets are allocated by the Stream manager and filled by the
Move, Event, and Ghost managers. Since the opportunity to write
into the stream is given to the managers in a fixed order, this
order forms a fixed priority among them. Once the requested
packet size is exceeded or all the managers are done, the packet
is handed off to the Connection manager for transmission. Figure
3 shows an example packet.
When a packet is delivered to the Stream layer for reading, it
simply hands off the packet to each stream manager in the same
fixed order and each manager is responsible for reading the data
written by its counterpart.
The Stream manager also provides a Transmission Record for each
packet that it constructs (shown in Figure 4). When a stream
manager stores data into a packet, it stores information
regarding that data in the Transmission Record. When a
Connection manager Notify Event occurs for a packet, the
Transmission Record for that packet is processed by the Stream,
Event and Ghost managers, and is used to provide delivery
guarantees. Since the Connection manager always produces Notify
Events for each packet in the order they were sent, the
Transmission Records are stored in a simple FIFO.
Event Stream Manager
The Event Stream manager is responsible for providing guaranteed
and non\u00adguaranteed delivery of event objects from one host to
another. Guaranteed events are also guaranteed to process in the
order they were sent. A sliding window is used to track the
status of events. All window management is performed using the
Transmission Records.
When the Event manager is given a packet to write into, it pops
events off its outgoing queue and writes them into the stream
until either the packet size is exceeded, the queue is empty, or
the event window is full. Events are persistent objects and are
written using the methods discussed earlier.
Once events are written into a stream, they are linked together
and attached to the Stream manager\u2019s Transmission Record. When
Packet 1
Move
Event 1
Event 2
Ghost State 1
Event 3
Ghost State 2
Event Manager Data
Ghost Manager Data
Move Manager Data
Figure 3: Example Packet
Header Stream Manager Data
the Stream manager is notified of a packet\u2019s status, the
Transmission Record for that packet is passed to the Event
manager. If the Connection manager signals the successful
delivery of the packet then the events attached to the record are
deleted and the sliding window updated. If the Connection manager
signals non\u00addelivery then the events associated with the lost
packet are simply pushed onto the head of the event queue for retransmission.
When the manager is given a packet stream to read, it unpacks and
constructs all the events. If the event is marked as guaranteed,
it is added to an ordered queue used to provide ordered
processing. Processing either happens immediately upon receipt
(for non\u00adguaranteed events) or as the ordered queue is advanced.
Since neither the transmitting nor the receiving Event managers
store delivery status information into the packet stream, this
protocol imposes very little overhead above that already imposed
by the Connection manager, normally 3 bits per packet and 1 bit
per event. If a packet is dropped an additional 7\u00ad14 bits per
packet may be written.
In packing, delivering and guaranteeing Event objects, the Event
manager provides a fundamental service used by many other
subsystems in the TRIBES II engine. Since events are packed,
unpacked and processed using virtual functions and the Persist
manager, the Event manager itself has no knowledge of the type or
contents of these events.
An example of a simple event:
class Signal: public Event {
enum {
Transmission
Record 1
Next Record
Event List
Ghost List
TR2
TR3
Event 1
Next Event
Event 2
Next Event
Event 3
Next Event
Figure 4: Transmission queue including record with
events
SignalBits = 4,
};
U8 signal;
public:
Signal(U8 s) {
guaranteed = true;
signal = s;
}
void packData(Bitstream* stream) {
stream\u00ad>writeInt(signal,SignalBits);
}
void unpackData(Bitsream* stream){
signal = stream\u00ad>readInt(SignalBits);
}
void process(NetConnection* ps){
printf(“Recieved signal %d from host %s”,
signal,ps\u00ad>getObjectName());
}
};
Ghost Stream Manager
The Ghost manager provides two key functions: the “ghosting” of
objects from one host to another, and the transferring of state
information between the original object and its ghost. A ghost
is a copy of an object persisted and transmitted to a remote
host. An object may only have one ghost per Ghost manager (and
thus per remote host), but may be ghosted by several Ghost
managers at once (to different clients, for example). Ghosts are
created using a form of guaranteed delivery also used to support
partial state updates between an object and its ghost. State
data is considered volatile and transferred using a “Most Recent
State” algorithm.
Since ghosting an object involves network overhead, the ghost
manager does not ghost all objects in the simulation, but instead
has a concept of “scope.” Objects may come in and out of scope
for a manager for a number of different reasons (this process is
managed in the Simulation layer). When an object comes into
scope, its ghost is transferred to the remote host; when an
object goes out of scope its ghost is deleted. While an object
is in scope, state data is transferred between the object and its
ghost and is updated at a rate based on its priority and state
mask. The manager also supports the notion of “ghost always”
objects, which are always in scope.
When a new object comes into scope, the object is tagged with a
Ghost Record containing a Ghost ID and a State Mask. The Ghost ID
is assigned from a limited range and is used by the local manager
to address ghost objects on the remote host. The remote Ghost
manager maintains a dictionary, which translates Ghost IDs into
local ghost objects. When the manager transfers information from
an object to its ghost, its Ghost ID is embedded in the stream so
that the remote manager can properly deliver the data. The Ghost
Record\u2019s State Mask represents state data that an object is
interested in transferring and is the heart of the “Most Recent
State” algorithm. Each bit in the State Mask represents a class
dependant set of related data, or state, that will be
transferred. An object may represent its position and velocity as
one state bit, changes in rotation as another, and possibly a
change in animation state as a third. (TRIBES simulation objects
typically have upwards of 20 state flags.) Each state is tracked
and transferred independently of the others, providing the
ability to perform partial updates of an object\u2019s total state.
When the ghost manager is given a packet to fill by the stream
manager, it performs two basic actions. First, it builds an
update list which includes every object with a status change or
non\u00adzero State Mask. This update list is ordered first by status
change, then by object priority. Status changes include the
transferring or deleting of ghosts from the remote host; an
object’s priority is a value assigned by the Simulation layer as
part of the scoping process. Next, the update list is traversed
in order writing the Ghost ID, status and object state
information into the packet until the packet is filled or the
list is empty. For each object that contains data in the stream,
a transmission structure is constructed containing the status
change requested and the State Mask. This structure is attached
to the Transmission Record for the packet as shown in Figure 5.
The State Mask bits in the Transmission structure represent the
state data written into the stream by the object.
When a ghost manager receives a packet, it reads each set of
Ghost ID and status flags in order. If a status indicates a new
ghost, the Persist manager is called to construct the object and
the new ghost is entered into the Ghost ID dictionary. If the
status change is a deletion request, the ghost object is obtained
Transmission
Record 1
Next Record
Event List
Ghost List
TR2
TR3
Object 1 GTR1
Next Record
State Mask [111]
Next Object TR
Object 2 GTR2
Next Record
State Mask [101]
Next Object TR
Figure 5: Transmission queue including ghost transmission records for
objects 1 & 2
Object 1 GTR3
Next Record
State Mask [010]
Next Object TR
from the dictionary and deleted. If there is no status change,
the packet contains only state data. The ghost object is
obtained from the ID dictionary and its unpack method is called
with the current packet bit stream. Which state mask bits were
used by the source object to pack data is not transmitted to the
ghost. The object is responsible for encoding such information
into the bit stream.
The guarantee of object state information happens as follows;
State Mask bits represent state changes, so if an object’s
position changes, it sets its “position state” bit in the State
Mask. If there are multiple managers ghosting this object, the
bit is set in the Ghost Record related to each manager. This set
bit now represents state data that the Ghost manager needs to
transfer to the object’s ghost. When the manager is filling a
packet, objects with a non\u00adzero State Masks are asked to write
into the packet stream given the current mask for that Ghost
manager. In the example of the “position state”, the object
writes its current position. At this point the State Mask
represents which states were written into the packet, and the
mask is stored in a transmission structure which is linked to the
Transmission Record. Once this is done, the State Mask is
cleared. If the packet is notified as lost, then the State Mask
for each object which had data in that packet is updated to
include lost bits. State bits are only considered lost if no
subsequently\u00adsent packet contained the same state bit for that
object. Since we guarantee only the latest state, if a later
packet has already been sent with a later version of that state,
then this requirement has been met and no other action takes
place.
In Figure 5, if the packet for Transmission Record 1 is lost then
bits [101] for object 1 and 2 are considered lost; whereas bit
[010] for object 1 is not, because GTR 3, a later update, has
that bit set. If a lost bit is added to an object’s State Mask,
then that state will get re\u00adtransmitted at the next opportunity.
Status changes, such as object construction and deletion, are
handled in a similar fashion.
Example of state masks:
An object’s position changes and it sets its Position State
bit to true. The ghost manager decides to pack the object’s
state and calls the object\u2019s pack method with the state
mask. The object sees that the manager wants to transmit
its position and writes its current position into the
packet bit stream. The manager stores the state mask
containing the Position State bit in the notification
structure for that packet and the State Mask is then
cleared.
First possibility: the packet is delivered and the state
has been successfully transferred. The object’s position
has not changed since the packet was sent and the State
Mask is still 0 so no further action takes place.
Second possibility: the packet is not delivered and in the
meantime the object’s position has not changed. The packet
is notified as lost. Since no packets have been sent with
new Position State data for the object, the Position State
bit is set in the object\u2019s State Mask. In this case the
same position will get resent the next time the object is
packed.
Third possibility: the packet is not delivered, but in the
meantime, the object’s position has changed. Before
notification of non\u00addelivery, another packet was already
sent with the latest position. In this case, the manager
knows that Position State data has already been
retransmitted and the loss of the state is ignored. This is
possible because the Ghost manager only guarantees that the
latest version of the state data is transferred and not any
particular version or copy of that state. In this example,
this is exactly the behavior we want \u00ad\u00ad the position
information contained in the lost packet is stale and we
don’t want to retransmit it. Unless the second packet is
notified as lost, we also don’t want to re\u00adtransmit the
current position, as it hasn’t changed since the second
packet was sent.
Fourth possibility: the packet is not delivered, and in the
meantime, the object’s position has changed. But the
position change was recent and no second packet has been
sent yet. Since no new packets have been sent with
Position State data for the object, the object’s Position
State bit is set by the Ghost manager. The object will
have already set the bit itself, so this will not change
the object\u2019s behavior. The next time the object is packed
it will write its current position, not the position sent
in the lost packet. Similar to the third possibility, the
position data lost in the dropped packet is never re\u00adsent.
Like the Connection manager, Event, and other stream managers, a
server will have a Ghost manager for each client connected to it.
If there are several Ghost managers ghosting an object, the
object will have a Ghost Record for each manager. Each manager
will have a different Ghost ID and State Mask for that object
representing the state of that object on its remote host. When
an object sets one of its state bits, it updates the State Mask
for every Ghost manager currently ghosting it and each manager
tracks and updates state information independently.
This process of tracking state masks and guaranteeing the
delivery of state information between object and their ghosts is
a key feature of TRIBES networking. Game simulation objects rely
almost exclusively on this mechanism to transfer information.
Move Stream Manager
The Move manager guarantees “soonest possible” delivery of client
input moves to the server and “soonest possible” delivery of
control object state data. A sliding window is used to track the
delivery of moves and also to synchronize move processing between
control objects and their ghosts. This manager is asymmetrical in
that moves are only sent from a “client” connection to a “server”
connection and Control Object state data from server object to
client ghost.
Input moves are used to control simulation objects such as
vehicles, cameras, and players. Input is gathered on the client
by an Input Manager, which collects a move every 32 milliseconds.
Moves consist of x, y and z translations, yaw, pitch and roll
rotations as well as an array of trigger states. These moves are
delivered to objects by the Move manager and are the sole means of
user controlled object movement.
The Move manager, similar to the Event and Ghost managers, writes
information into every packet stream allocated by the Stream
manager. Unlike the other managers, it makes no use of the
Transmission Record or the Connection manager’s notification
system. Instead, the Move manager provides “soonest possible”
delivery of moves to the server by writing moves into every packet
sent. Each move is transmitted three times in consecutive
packets. Each packet transmitted from the server contains the
last move received, which the client uses to advance a sliding
window of outstanding moves. If the window becomes full, the
client simulation is halted until the server advances the window.
If 3 packets are dropped in a row then any moves unique to those
packets are lost.
In Starsiege TRIBES, every move in the current window was
transmitted in every packet guaranteeing 100% delivery of all
moves, but this was sometimes the cause of a negative feedback
loop. A dropped packet would increase the size of the next packet
by widening the sliding window and causing more moves to be
transmitted. On low bandwidth Internet connections the increased
packet size could exceed the connection’s bandwidth, causing more
packets to be dropped. Though this means moves are no longer
guaranteed delivery, the client responds better when large numbers
of packets are dropped. Losing moves can cause the client and
server control object to get out of sync which may produce a
momentary \u201cwarping\u201d for the client.
The Control Object for a client is the object that receives the
current move being produced. Both the Control Object on the
server and its ghost on the client receive every move. Control
Objects have two major requirements that differentiate them from
other objects. The first is the deterministic processing of
moves. Both the original server object and its ghost are given
moves generated by the player and both, given the same starting
state, must produce the same end state. The second is that the
control object must be able to transfer its current state on
demand. Though Control Objects are ghosted, and thus can transfer
information using the ghost State Mask, the Move manager provides
a separate “Soonest possible” delivery of a Control Object’s state
to its ghost. This state information is similar but not identical
to information transmitted through the Ghost manager. State
information sent to a ghost is normally limited to that needed to
render the object, or to reasonably predict its motion. Control
Object state information must include everything needed to
deterministically process input moves. “Soonest possible”
delivery of this control state information is achieved by having
the Control Object write its current state into every packet sent
from the server. This combination of state transfer and
deterministic move processing is used to keep the Control Object
and its ghost synchronized, and to allow the client to predict the
motion of the control object ahead of server updates.
Delivering moves and Control Object state updates as soon as
possible along with client prediction of move processing allows
smooth and immediate response to player input, while providing
full validation of all player moves by the server.
Datablock Stream Manager
The Datablock manager provides “latest state” delivery of
datablocks from the server to the client. Datablocks are objects
which contain relatively static data and the manager guarantees
delivery only of the latest state at a very low frequency. Like
the Ghost manager, the Datablock manager is asymmetric, and
datablocks are only transmitted from server to client. The most
common use of datablocks is to transmit initialization or
reference data for ghosts.
Datablocks are copied to the client in a stream of guaranteed
events. Since datablocks are considered static they are not
updated during the normal course of a session, but only at fixed
times such as when first connecting to a server or during a map
change. A global \u201clast modified\u201d key is used to track changes to
datablocks. Each time a datablock is modified it is assigned the
current value of this key, after which the key is incremented.
The manager keeps the highest key value transmitted to its remote
host. Since the manager only guarantees “latest state”, if a
Datablock is modified several times between updates, this
information is lost to the client. Further, since the changes to
datablocks are low in frequency, the Ghost manager\u2019s overhead of
partial state updates is not necessary \u2013\u00ad a changed datablock is
retransmitted in its entirety.
Unlike the other Connection stream managers, the Datablock
manager does not write into, or read from the packet bit stream
produced by the Stream manager. Updates are invoked directly
from the scripting language and involve looping through all the
existing datablocks and transmitting every datablock with a
modified key greater than manager’s key. The actual transfer of
datablocks is performed by sending guaranteed Datablock Events
using the Event manager. A Datablock Event contains the datablock
object to transmit, and the datablock is packed as part of the
event.
As an example, the Vehicle class has an associated VehicleData
Datablock class. The Datablock class contains numerous vehicle
property attributes such as shape, maximum speed, maximum
acceleration, suspension properties for wheels, etc. When a
Vehicle object is constructed, it is assigned an instance of the
VehicleData Datablock. Each instance of the VehicleData
Datablock represents a different set of attributes describing a
different type of vehicle such as a tank, scout, transport, etc.
The Vehicle class itself represents the instance of that vehicle
type in the simulation and provides all the code and dynamic
attributes necessary to simulate the vehicle.
The advantage of this separation of static attribute data and
instance data is that Datablocks are normally only transmitted to
the client once at connect time. When a Vehicle object is
ghosted to the client (a process that can happen often) it sends
only its datablock’s ID along with other dynamic data relevant to
the ghost. This results in huge savings in bandwidth, while still
providing the flexibility of defining static attribute data on
the server. As shown in Figure 5, the client will mirror the
same relationship of Vehicle instance to VehicleData datablock.
Since datablocks are only transferred at times when the
simulation is effectively stopped, more bandwidth is available
and datablocks can contain more information than would normally
be possible. This also means the Datablock manager imposes no
extra overhead to the bitstream during the normal course of
simulation.
Server Client
VehicleData Datablock
Instance with static
vehicle attributes
VehicleData Datablock
Copy of static vehicle
attributes
Vehicle Class Object
Datablock
Dynamic vehicle
attributes
Vehicle Class Ghost
Datablock
Dynamic vehicle
attributes
Figure 5: Vehicle Datablock relationship mirrored on client
Simulation Layer
The Simulation layer performs a number of functions of which only
a few are relevant to a discussion of the networking model.
These are the advancement of time, scoping for the Ghost manager,
and client side prediction.
Advancement of simulation time is centered on the processing of
moves. Moves are gathered every 32 milliseconds, and the
simulation is advanced in 32 millisecond increments with a move
for each increment or tick. All objects on the client and server
are advanced in the same manner and if a Move manager is not
controlling an object, then it is passed NULL moves.
Though client objects are advanced in fixed increments, the
elapsed time between frames may not fall on even increments. To
present a smooth view, especially on a machine with a high frame
rate, time is always advanced to the beginning of the next
interval, and ghost objects maintain backwards interpolation
information which is used to “tween” frames between ticks.
Objects on the server are never rendered so they do not have to
perform this function.
Simulation objects must be scoped and prioritized for the ghost
manager. Scoping is the process of determining which objects on
the server are relevant to a particular client. In the simplest
sense, this means all objects that are potentially visible to a
client from that client’s current control object. This form of
scoping is performed using a spatial database maintained by the
simulation. When an object is determined to be in scope, the
object itself determines its own priority based on information
such as current ghost state mask, distance from the scoping
object, projected radius (using the scoping object\u2019s view
frustrum parameters), relative velocity, animation state and
interest modifiers (projectiles that are moving towards the
client are more interesting than vehicles, vehicles are more
interesting than items, etc.).
There are two forms of client side prediction in this model.
First is the Control Object move prediction performed by the Move
manager. This is by far the more complicated and provides the
foundation for controlling and predicting objects such as
players, vehicles, turrets and cameras. The other is prediction
performed by non\u00adcontrolled ghost objects such as projectiles,
items, etc. This level of prediction is left entirely to the
objects themselves and no supporting structure is provided.
An example of a prediction strategy is that provided by the Item
class, one of the simpler objects. This object is driven
entirely by the physics of the environment and does not process
input moves. By simply simulating normally the ghost will
correctly predict interaction with all static objects. If a
dynamic object is hit on the server, then its ghost state mask is
set to transfer its latest position and velocity. When the
client ghost receives an update from the server, it interpolates
its current position smoothly to the server’s updated position
and continues from there. More complex strategies are used by
the vehicle and player classes, which have to deal with
predicting movement from other clients.
Summary
By classifying data according to its delivery requirements and
organizing the stream managers to efficiently meet those
requirements, the Tribes II networking model attempts to make
optimal use of available bandwidth. In combination with dynamic
object scoping and prioritization of partial object state
updates, the TRIBES II engine allows smooth visualization of
large virtual environments over low bandwidth connections, even
when a substantial number of objects are visible to a client.
Though the model provides a solid foundation for network traffic,
it is not sufficient to simply provide a fast reliable connection
between hosts; there will always be bandwidth and latency issues
to contend with. Not covered in this article are: choices made
when deciding which object behavior should be managed by the
server and which by the clients, which object state information
to transfer, how to organize object partial states, how to
prioritize object state changes relative to each other, which
compression algorithm to use, and how to perform client side
prediction of Control Objects. All of these can have a dramatic
effect on perceived network performance.
This model was first implemented in Starsiege TRIBES, which
shipped in December of \u201898. The updated implementation in TRIBES
II has the following improvements:<\/li> - Reorganization and simplification of the Connection and Stream
layers.<\/li> - Better packet header compression for the Connection manager\u2019s
notification protocol.<\/li> - A reduction in the number of times moves are re\u00adtransmitted to
avoid negative feedback loops due to increased packet size.<\/li> - Better data compression by individual objects.<\/li>
- The addition of the String manager, which provides high order
compression for repeatedly transmitted character strings (not
discussed in this article).
Several modifications to the model have been considered, and
though they will not be implemented for TRIBES II, are worth
exploring. These include:<\/li> - Variable production of packets by the Stream manager. Updates
are currently produced at a constant rate dictated by the
Stream manager\u2019s bandwidth settings. Packets could be
produced as soon as data is available for transmission or data
priority reaches a given threshold.<\/li> - Asynchronous Connection processing on the server. All
Connection managers are currently processed at the same time
on the server in a single thread. The server architecture
could be changed to support a primary simulation thread with a
separate thread for each client. This would provide the
Connection and Stream managers with lower latency
communication with their remote host as well as provide better
support for multi\u00adprocessor hardware.<\/li> - The addition of new stream managers, including a multiplexing
audio stream manager. TRIBES II will support voice using a
simpler approach.<\/li> - Dynamic allocation of server bandwidth. Bandwidth on the
server is currently set at a fixed per client. The server
could be modified to adjust its per client bandwidth based on
the number of connected clients.<\/li> - Determine a method of automatically and effectively
calculating the available bandwidth on a connection.
Bandwidth settings are currently set manually by a client.
Acknowledgments
Though several of the ideas presented here are unique to TRIBES,
others have been assimilated from other sources over countless
years of reading and the authors, being too lazy to research
their sources, would like to thank everyone in one sentence.<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"by Mark Frohnmayer and Tim GiftMark.Frohnmayer@Dynamix.com Tim.Gift@Dynamix.com AbstractThis paper discusses the networking model developed to support a“real\u00adtime” multi\u00adplayer gaming environment. This model is beingdeveloped for TRIBES II, and was first implemented in StarsiegeTRIBES, a multi\u00adplayer online team game published in December’98. The three major features of this model are: support formultiple data delivery requirements, partial…<\/p>\n
Read More “The TRIBES Engine Networking Model
or How to Make the Internet Rock for Multi\u00adplayer Games”<\/span> »<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-315","post","type-post","status-publish","format-standard","hentry","category-gamedev"],"_links":{"self":[{"href":"http:\/\/merserver.com\/index.php\/wp-json\/wp\/v2\/posts\/315","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/merserver.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/merserver.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/merserver.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/merserver.com\/index.php\/wp-json\/wp\/v2\/comments?post=315"}],"version-history":[{"count":1,"href":"http:\/\/merserver.com\/index.php\/wp-json\/wp\/v2\/posts\/315\/revisions"}],"predecessor-version":[{"id":316,"href":"http:\/\/merserver.com\/index.php\/wp-json\/wp\/v2\/posts\/315\/revisions\/316"}],"wp:attachment":[{"href":"http:\/\/merserver.com\/index.php\/wp-json\/wp\/v2\/media?parent=315"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/merserver.com\/index.php\/wp-json\/wp\/v2\/categories?post=315"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/merserver.com\/index.php\/wp-json\/wp\/v2\/tags?post=315"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}