The Bridge - Issue 3, 2021 - 14

Feature
Quality-of-Service Architecture for Cloud Computing Networking
network. Hence, the management functionality of the
network is provided by an element management system,
policy management server, and QoS management server.
The QoS server handles data path processing based on
traffic engineering, e.g., classifying, metering, and queuing.
This reference model basic functionality and should not
be taken as a logical architecture. Every element does
not necessarily have a dedicated element controller.
Additionally, the element management system,
policy server, and TE/QoS server could be one
logical component.
E. Element Reference Architecture
In the QoS reference architecture, the element entity is
functionally responsible for all the data path processing.
The element entity is partitioned into the components
shown in Figure 3. The element reference architecture
consists of datapath processing and control functionality.
The physical ports for ingress and egress provide
connectivity to the element entity. A routing core provides
connectivity between the ingress and egress ports. The
network processors provide functionalities of classification,
metering, queuing, and protocol actions. The ports,
routing core components, and network processors are
all configured by the configuration manager. A hardware
interface between the element and the element
controller is provided by the General Switch Management
Protocol (GSMP) Agent and TCP/IP components.
service layer agreement between the network and the
user guarantees a specific compliance for the user's data.
A. Traffic Parameters
Traffic parameters are selected that fulfill the following
requirements:
* The parameters must be understandable by the end
system and must be subject to conformance testing.
* They must relate to network performance, i.e. part of
resource allocation schemes.
* They must be enforceable by the meter entity.
Service layer agreements will be defined in terms of such
parameters. Useful parameters include peak data rate,
committed data rate, peak burst size, committed burst
size, and excess burst size.
B. Metering
Service layer agreements are implemented by the QoS
server and its metering algorithm. Data flow aggregates
will be manipulated to fulfill guarantees on individual
data packets and associated traffic profiles. In particular,
a meter entity measures the parameters for which
passing data packets, compares the parameters to
selected thresholds, and selects among the possible
actions. The desired traffic profile will be maintained by
queuing actions on individual data packets of marking,
dropping, or passing. For instance, traffic is subject to a
conformance test. The algorithm will forward the data
packet without change, mark the packet to display some
level of non-conformance, or drop the packet based on
non-conformance.
V. CONCLUSIONS
Figure 3: Element Reference Architecture
IV. TRAFFIC ENGINEERING
Traffic engineering resources set the protocols for
directing and prioritizing the flow of data. A traffic
conditioning specification contains the necessary
information to conduct conformance testing of the data
packets. It defines a traffic profile for allocating resources
and parameter values for operating the meter. Finally, a
THE BRIDGE
Cloud providers support services and network functions
with dynamic routing algorithms that may be exploited
for QoS guarantees. A hybrid system model is proposed
that meets QoS requirements for individual data flows
while operating on flow aggregates. This model integrates
hardware and software features to handle absolute or
relative service guarantees on loss, delay, bandwidth,
and burst size. The model architecture was developed
to address the design of reference models, functions,
and algorithms. The functionality and flexibility of cloud
computing technologies is used to automate the needed
traffic engineering protocols. This architecture may be
implemented easily in existing cloud provider networks
and network elements.
https://hkn.ieee.org/
The Bridge - Issue 3, 2021

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