A Performant Discrete-Event Simulator for Network Simulations with a Single-Threaded Executor
Project description
Day and Day One: Two Performant Discrete-Event Simulators for Network Simulations
Developed with the Rust programming language, Day One have been designed as a performant discrete-event simulators for network simulations, using a single-threaded design.
In Day One, the use of a single thread allows it to avoid any read-write mutual exclusion locks and thread synchronization overhead when sharing global data — such as the simulation time — across stackless coroutines, therefore improving single-threaded performance. With multiple CPU cores, multiple parallel simulation runs can take place using Day One, each with a different configuration setting or random seed.
To run a network simulation session using a configuration file with either of the two simulators, run:
RUST_LOG=debug dayone configs/simple.toml
where RUST_LOG
levels can be error
, warn
, info
, debug
, and trace
, and configs/simple.toml
is the configuration file.
Configuration Settings
In Day One, all configuration settings are read from a configuration file when a simulation session starts, and the configuration file follows the TOML
format for the sake of simplicity and readability.
Here is an example configuration file simple.toml
:
# An example configuration file that shows a basic setup.
seed = 1000
edges = [[0, 1], [0, 2]]
hosts = [0, 1, 2]
progress = 2.0
duration = 20.0
log_path = "./simple"
log_interval = 1.0
[switch]
port_rate = 8000
capacity = 100
weights = [1]
discipline = "FIFO"
drop = "RED"
[[flow]]
flow_type = "PacketDistribution"
graph = [[0, 1]]
[flow.traffic]
initial_delay = 1.0
size = 10000
arr_dist = {type = "Exp", lambda = 1.0}
pkt_size_dist = {type = "Uniform", low = 1000, high = 1500}
[[flow]]
flow_type = "PacketDistribution"
graph = [[1, 0]]
[flow.traffic]
initial_delay = 2.0
duration = 10.0
arr_dist = {type = "Uniform", low = 1, high = 1}
pkt_size_dist = {type = "Uniform", low = 1000, high = 1500}
[[collective]]
collective_type = "Broadcast"
flow_type = "PacketDistribution"
flow_count = 2
graph = [[0, 1], [0, 2]]
sources = [0]
sinks = [1, 2]
[collective.traffic]
initial_delay = 1.0
duration = 10.0
arr_dist = {type = "Uniform", low = 1, high = 1}
pkt_size_dist = {type = "Uniform", low = 1000, high = 1500}
The following introduces all the possible settings in the configuration file.
General
seed
The seed for the random number generator to ensure reproducibility of the simulation results.
-
Valid value: Integer
-
Required: Yes
-
Example:
seed = 1000
duration
The total duration of the simulation in seconds.
-
Valid value: Floating point number
-
Required: No
-
Default: 1500.0
-
Example:
duration = 20.0
progress
Day and Day One provide progress bars to visualize the progression of a simulation session. This progress
element specifies the progress interval, which is the time interval to advance the position of the progress bar.
-
Valid value: Floating point number
-
Required: No
-
Default:
duration
/ 100 -
Example:
progress = 1.0
log_path
Day and Day One generate three CSV files, sources.csv
, sinks.csv
, and switches.csv
, containing statistics of a simulation session. log_path
specifies the directory of the three CSV files.
-
Valid value: String
-
Required: No
-
Default:
./output
-
Example:
log_path = "./test"
log_interval
In the three CSV files, each row contains statistics in a time interval. log_interval
specifies the length of a time interval in seconds.
-
Valid value: Floating point number
-
Required: No
-
Default: Value of
progress
-
Example:
log_interval = "1.0"
topology
Day and Day One support arbitrary topologies. Besides widely-used topologies FatTree
and Torus
, any topology that can be specified as an undirected graph can be supported as well.
-
FatTree
To specify the
FatTree
topology, it is required to specifick
.k
is a multiple of 2.Example:
[topology] category = "FatTree" [topology.torus] k = 8
-
Torus
To specify the
Torus
topology, it is required to specific dimensiondim
, and node per dimensionn
. Only 1D, 2D, and 3D Torus topologies are supported. That is, valid values ofdim
are 1, 2, 3.Example:
[topology] category = "Torus" [topology.torus] dim = 2 n = 3
-
Custom topology
Use
edges
to specify an undirected graph as the topology, andhosts
to specify hosts in the topology.edges
is a vector of [integer, integer]. An [integer, integer] pair presents an edge in the undirected graph.hosts
is a vector of integersExample:
edges = [[0, 1], [0, 2]] hosts = [0, 1, 2]
Switch
In Day and Day One, all switches use the same setting which can be specified with the following attributes.
port_rate
The bit rate of each outbound port.
-
Valid value: Floating point number
-
Required: Yes
-
Example:
port_rate = 8000
capacity
The capacity (buffer size) of each outbound port.
-
Valid value: Integer
-
Required: Yes
-
Example:
capacity = 100
drop
The packet drop strategy that drops packets when the buffer is full.
-
Valid value:
Value Meaning TailDrop
Dropping packets at the tail of the queue RED
Random Early Detection -
Required: Yes
-
Example:
capacity = 100
discipline
The scheduling discipline.
-
Valid value:
Value Meaning Notes FIFO
First In First Out DRR
Deficit Round Robin Required to specify weights
WFQ
Weighted Fair Queueing Required to specify weights
SP
Static Priority Required to specify priorities
VC
Virtual Clock Required to specify vticks
-
Required: Yes
-
Example:
discipline = "FIFO"
weights
-
Valid value: Vector of integers
-
Required: Yes if
dispcipline = "DRR"
ordispcipline = "WFQ"
-
Example:
weights = [1, 2, 3]
priorities
-
Valid value: Vector of (integer, integer), where the first integer is the flow class and the second integer is the priority of this flow class
-
Required: Yes if
dispcipline = "SP"
-
Example:
priorities = [(0, 2), (1, 1)]
vticks
-
Valid value: Vector of (integer, integer), where the first integer is the flow class and the second integer is the inverse of the desired rates for the corresponding flows, in bits per second
-
Required: Yes if
dispcipline = "VC"
-
Example:
vticks = [(0, 2), (1, 1)]
Flow
In Day and Day One, flows can be specified one by one:
[[flow]]
flow_id = 2
starts_before = [3]
starts_after = [1]
flow_type = "PacketDistribution"
graph = [[0, 1]]
[flow.traffic]
initial_delay = 1.0
duration = 2.0
arr_dist = {type = "Uniform", low = 1, high = 1}
pkt_size_dist = {type = "Uniform", low = 1000, high = 1500}
or by sets:
[[flow_set]]
first_flow_id = 10
flow_type = "PacketDistribution"
flow_count = 10
[flow_set.traffic]
initial_delay = 0.0
duration = 10.0
arr_dist = {type = "Uniform", low = 0.0008, high = 0.0008} # 10Mbps
pkt_size_dist = {type = "Uniform", low = 1024, high = 1024}
The following table lists required, optional, or not supported attributes of a flow or a flow set.
Attribute | Meaning | flow | flow_set |
---|---|---|---|
flow_id |
The id of the flow | optional | no |
first_flow_id |
The smallest flow id of the flow set | no | optional |
starts_before |
The ids of flows that cannot start until this flow / flow set ends | optional | optional |
starts_after |
The ids of flows that this flow / flow set must wait for them to end before it starts | optional | optional |
flow_type |
The type of the flow or flows of the flow set | required | required |
flow_count |
The number of flows in the flow set | no | required |
graph |
The pair of the source host and the sink host of the flow | required | no |
path |
The path of the flow | optional | no |
traffic |
The traffic of the flow / flow set | required | required |
flow_id
The id of the flow.
If not specified, the id of the first flow specified in the configuration file will be 0, and the subsequent ids of flows increase by 1.
-
Valid value: Integer
-
Required: No
-
Example:
flow_id = 1
first_flow_id
The smallest flow id of the flow set.
-
Valid value: Integer
-
Required: No
-
Example:
flow_first_id = 1
starts_before
The ids of flows that cannot start until this flow / flow set ends.
-
Valid value: Vector of integers
-
Required: No
-
Example:
starts_before = [3, 4]
starts_after
The ids of flows that this flow / flow set must wait for them to end before it starts.
-
Valid value: Vector of integers
-
Required: No
-
Example:
starts_after = [0, 1]
flow_type
The type of the flow or flows of the flow set.
-
Valid value:
Value Meaning PacketDistribution
A flow whose packet source sends packets with specific distributions of inter-arrival times and packet sizes TCP
A flow whose packet source simulate the TCP protocol -
Required: Yes
-
Example:
flow_type = "PacketDistribution"
flow_count
The number of flows in the flow set.
-
Valid value: Integer
-
Required: Yes for a flow set
-
Example:
flow_count = 10
graph
The pair of the source host and the sink host of the flow.
-
Valid value: [[integer, integer]]
-
Required: Yes for a single flow
-
Example:
graph = [[0, 2]]
path
The path of the flow.
-
Valid value: Vector of integers where each integer is a node in the path
-
Required: No
-
Example:
path = [0, 1, 2]
traffic
For a flow, it must specify its traffic under [flow.traffic]
.
For a flow set, it must specify the traffic of its flows under [flow_set.traffic]
.
The following table lists attributes of traffic.
Note:
initial_delay
,arr_dist
, andpkt_size_dist
are required.- Either
size
orduration
is required.- If
flow_type = "TCP"
,[flow.traffic.tcp]
or[flow_set.traffic.tcp]
must be specified for the flow or flow set.
-
Attributes:
Attribute Meaning Valid Value initial_delay
The seconds the flow / flow set waits before producing its first packet Floating point number size
The total size of packets of the flow / each flow of the flow set in bytes Integer duration
The duration of the flow / each flow of the flow set in seconds Floating point number arr_dist
The arrival distribution of packets in seconds Valid distribution info pkt_size_dist
The distribution of packet sizes in bytes Valid distribution info
Valid distribution info includes uniform distribution and exponential distribution:
- {type = "Uniform", low = 0.0008, high = 0.0008}
- {type = "Exp", lambda = 1.0}
-
Required: Yes
-
Example:
[[flow_set]] flow_type = "TCP" flow_count = 100 [flow_set.traffic] initial_delay = 0.0 duration = 0.1 arr_dist = {type = "Uniform", low = 0.0008, high = 0.0008} pkt_size_dist = {type = "Uniform", low = 1024, high = 1024} [flow_set.traffic.tcp] cc_algorithm = "TCPReno"
traffic.tcp
For a flow, it must specify its tcp characteristics under [flow.traffic.tcp]
.
For a flow set, it must specify the tcp characteristics of its flows under [flow_set.traffic.tcp]
.
-
Attributes:
Attribute Meaning Valid Value cc_algorithm
The congestion control algorithm TCPReno
,TCPCubic
-
Required: Yes
-
Example:
[flow.traffic.tcp] cc_algorithm = "TCPReno"
Collective
In Day and Day One, collectives can be specified one by one:
[[collective]]
collective_type = "Broadcast"
flow_type = "PacketDistribution"
flow_count = 2
graph = [[0, 2], [0, 3], [1, 2], [1, 3]]
sources = [0, 1]
sinks = [2, 3]
[collective.traffic]
initial_delay = 1.0
duration = 10.0
arr_dist = {type = "Uniform", low = 1, high = 2}
pkt_size_dist = {type = "Uniform", low = 1000, high = 1500}
or by sets:
[[collective_set]]
collective_type = "Gather"
collective_count = 2
flow_type = "PacketDistribution"
flow_count = 2
sources = [[0, 1], [1, 2]]
sinks = [[2, 2], [3, 3]]
[collective_set.traffic]
initial_delay = 1.0
duration = 10.0
arr_dist = {type = "Uniform", low = 3, high = 4}
pkt_size_dist = {type = "Uniform", low = 2000, high = 2500}
The following table lists required, optional, or not supported attributes of a collective or a collective set.
Attribute | Meaning | collective | collective_set |
---|---|---|---|
collective_type |
The type of the collective or collective set | required | required |
first_flow_id |
The smallest flow id of the collective or collective set | optional | optional |
collective_count |
The number of collectives in the collective set | no | required |
flow_type |
The type of the flows of the collective or collective set | required | required |
flow_count |
The number of flows in the collective or in each collective of the collective set | required | required |
graph |
The pairs of the source host and the sink host of the collective's flows | optional | no |
paths |
The paths of the collective's flows | optional | no |
sources |
The sources of flows | optional | optional |
sinks |
The sinks of flows | optional | optional |
traffic |
The traffic of the collective / collective set | required | required |
collective_type
The type of the collective or collective set.
-
Valid value:
Brordcast
orGather
-
Required: Yes
-
Example:
collective_type = "Broadcast"
first_flow_id
The smallest flow id of the collective / collective set.
-
Valid value: Integer
-
Required: No
-
Example:
flow_first_id = 1
collective_count
The number of collectives in the collective set.
-
Valid value: Integer
-
Required: Yes for a collective set
-
Example:
collective_count = 10
flow_count
The number of flows in the collective or in each collective of the collective set.
-
Valid value: Integer
-
Required: Yes
-
Example:
flow_count = 4
graph
The pairs of the source hosts and the sink hosts of the collective's flows.
-
Valid value: Vector of [integer, integer]
-
Required: No
-
Example:
graph = [[0, 1], [0, 2]]
paths
The paths of the collective's flows.
-
Valid value: Vector of vectors of integers where each integer is a node in the path
-
Required: No
-
Example:
paths = [[0, 1], [0, 1, 2]]
sources
For a collective, sources
is the set of the source hosts of this collective's flows.
-
Valid value: Vector of integers where each integer is a source host
-
Required: No
-
Example:
sources = [0, 1]
For a collective set, sources
is set of the source hosts of this collective set's collectives' flows.
-
Valid value: Vector of vectors of integers where each vector is a collective's flows' source hosts
-
Required: No
-
Example:
sources = [[0, 0], [1, 1]]
sinks
For a collective, sinks
is the set of the sink hosts of this collective's flows.
-
Valid value: Vector of integers where each integer is a sink host
-
Required: No
-
Example:
sinks = [0, 1]
For a collective set, sinks
is set of the sink hosts of this collective set's collectives' flows.
-
Valid value: Vector of vectors of integers where each vector is a collective's flows' sink hosts
-
Required: No
-
Example:
sinks = [[0, 0], [1, 1]]
traffic
For a collective, it must specify the traffic of its flows under [collective.traffic]
.
For a collective set, it must specify the traffic of its flows under [collective_set.traffic]
.
The following table lists attributes of traffic.
Note:
initial_delay
,arr_dist
, andpkt_size_dist
are required.- Either
size
orduration
is required.- If
flow_type = "TCP"
,[flow.traffic.tcp]
or[flow_set.traffic.tcp]
must be specified for the flow or flow set.
-
Attributes:
Attribute Meaning Valid Value initial_delay
The seconds the collective / collective set waits before producing its first packet Floating point number size
The total size of packets of each flow of the collective / collective set in bytes Integer duration
The duration of each flow of the collective / collective set in seconds Floating point number arr_dist
The arrival distribution of packets in seconds Valid distribution info pkt_size_dist
The distribution of packet sizes in bytes Valid distribution info
Valid distribution info includes uniform distribution and exponential distribution:
- {type = "Uniform", low = 0.0008, high = 0.0008}
- {type = "Exp", lambda = 1.0}
-
Required: Yes
-
Example:
[[collective]] collective_type = "Broadcast" flow_type = "PacketDistribution" flow_count = 4 [collective.traffic] initial_delay = 1.0 duration = 10.0 arr_dist = {type = "Uniform", low = 3, high = 4} pkt_size_dist = {type = "Uniform", low = 2000, high = 2500}
traffic.tcp
For a collective, it must specify the tcp characteristicsc of its flows under [collective.traffic.tcp]
.
For a collective set, it must specify the tcp characteristics of its collectives' flows under [collective_set.traffic.tcp]
.
-
Attributes:
Attribute Meaning Valid Value cc_algorithm
The congestion control algorithm TCPReno
,TCPCubic
-
Required: Yes
-
Example:
[collective.traffic.tcp] cc_algorithm = "TCPReno"
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