Internet DRAFT - draft-fu-coinrg-joint-optimization-req
draft-fu-coinrg-joint-optimization-req
Computing in Network Research Group Y. Fu
Internet-Draft P. Liu
Intended status: Informational L. Geng
Expires: May 6, 2021 China Mobile
November 2, 2020
Requirements of computing and network joint optimization and scheduling
draft-fu-coinrg-joint-optimization-req-00
Abstract
With the development of edge computing, there is a trend that
computing is widely deployed in network rather than at other end of
network, and provides services at nearer location. With the deep
integration of network, traditional optimization and scheduling
within network domain is not enough, the endpoint of the path matters
a lot. So the relationship between computing and network are new and
important topics to be studied. This document focus on the
requirements of computing and network joint optimization and
scheduling based on the newly arising service requirements.
Requirements Language
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
"SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this
document are to be interpreted as described in .
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This Internet-Draft will expire on May 6, 2021.
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Table of Contents
1. Overview . . . . . . . . . . . . . . . . . . . . . . . . . . 2
2. Requirements of awareness of computing . . . . . . . . . . . 3
3. Requirements of computing and network joint optimization . . 4
4. Requirements of computing and network joint resource
reservation . . . . . . . . . . . . . . . . . . . . . . . . . 5
5. Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . 6
6. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 6
7. Security Considerations . . . . . . . . . . . . . . . . . . . 6
8. Acknowledgements . . . . . . . . . . . . . . . . . . . . . . 6
9. Informative References . . . . . . . . . . . . . . . . . . . 6
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 7
1. Overview
For traditional services without strict service requirements, the
best-effort network can meet the requirements with traditional path
optimization, which only consider the network condition. With new
services arising, such as cloud AR/VR, cloud gaming, V2X, new and
strict requirements towards network, also towards the service
endpoint are proposed to meet the service requirements. So the
computing and network joint optimization and scheduling are proposed
to guarantee the service performance.
The computing and network joint optimization means that there is not
only the path optimization in network, but also the endpoint joint
optimization; also the two will affect each other. Based on the
joint optimization, the service scheduling can be performed
considering the network condition and also the endpoint condition,
with the "optimal path+ optimal endpoint" policy. What's more, the
computing and network resources joint reservation is required for
services with strict performance requirements.
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2. Requirements of awareness of computing
The service requirements arising include both network and computing
requirements, which further require future network should perform the
joint optimization according to service requirements. So the
requirements towards the joint optimization are: the awareness of
computing and network requirements, the awareness of computing
resources and services in network, the computing-aware path
optimization and the network-aware endpoint optimization.
2.1. Awareness of computing and network requirements
Awareness of computing and network requirements refers to consider
the computing requirements in addition to the network requirements,
including the awareness of computing requirements and the measurement
of computing services.
Since network requirements can be measured with bandwidth, delay etc,
it is also required to measure computing requirements in a unified
way. On the one hand, there are many different computing services
which are the "consumers" of computing resources, such as video
processing, image classification etc, and they propose various
requirements towards computing. It is required to firstly obtain the
computing requirements and then model the requirements in a unified
way, which then can be used as the constraint of joint optimization.
What's more, the computing service modes are abundant compared to
network services, which are the computing "producers", including
there are heterogeneous hardware such as GPU, CPU, FPGA etc, and also
various algorithms deployed in network, so it is also required to
model the computing producers in a unified way, which is another
important factor for joint optimization. As for the awareness of
computing requirements, some technologies such as application-aware
networking have proposed corresponding technical solutions to
delivery computing requirements in the packet head, however, it needs
further study on the security of application and also the efficiency
of the information delivery. As for the measurement of computing
services, there is no mature solution to model the computing
requirements and the computing resources in a unified way, which is a
challenge for the computing and network joint optimization.
2.2. Awareness of computing resources and services
With the development of edge computing, the computing resources and
computing services will be distributed in network, since the limited
physical conditions, each computing site will be small scale and with
limited computing resources, so different from the cloud computing,
which can finish the computing task within one site, the edge
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computing sites need the collaboration among many sites, and this
collaboration can be done in network. To coordinate the computing
sites, it is required for network to be aware of the computing status
of edge sites, including the real-time status of computing resources
and computing services. So how to generate the required information
and then broadcast it to network brings new challenges.
3. Requirements of computing and network joint optimization
3.1 Computing-aware path optimization
With new services requiring computing and network resources,
traditional network-based path optimization can not accurately
guarantee the service requirements. The network-based path
optimization only according to network conditions can only make sure
the performance of network services, it can only find a best path
towards a given endpoint, however, the given endpoint may be not
optimal, causing the service requirements cannot be met.
So It is required to do the computing-aware path optimization to
consider the status of endpoint. For example, before the path
optimization, according to the awareness of computing resources and
services in network, including the location and status, the network
could firstly find a list of optimal computing nodes, then the
network could do path optimization with different computing
endpoints, which changes the traditional way to only do the path
optimization with one destination.
To better optimize the computing-aware path, we need to consider
different weights of computing and network metrics when calculating
the optimal path. For traditional path optimization, there are only
network metrics as the parameters of algorithm; it is required to add
computing metrics also as the calculation metrics of the algorithm
and to combine the computing and network metrics.
What's more, based on the awareness of service requirements, for
different services, there will be different requirements towards
computing and network. For some computing-intensive services,
computing counts more on the whole process of services, so they will
require more on computing than network; and for communication-
intensive services, the computing is less during the service process,
while there will be frequent communication, which will propose higher
requirement towards network than computing. So it can be inferred
that computing and network matters differently during the service
process for various services.
Based on what discussed above, it is required to adaptively define
different weights of computing and network metrics for different
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services, adapting to various service requirements. For example, for
the computing-intensive services, it is required to put more weights
on computing metrics than network metrics, which could be based on
the percentage of predicted computing time in whole time; as for
communication-intensive services, more weights could be put to adapt
to the service requirements.
3.2 Network-aware endpoint optimization
Based on the computing-aware path optimization, there will be the
optimal "path + endpoint" pair, combing the computing and network
status. But there will also be inner scheduling in computing node,
which may also influence the computing time. With proper task
assignment, the computing time could be less to make sure that
endpoint provides the promised services. So it is also required for
endpoint to know the service requirements precisely, otherwise the
endpoint will just do the usual scheduling without considering the
service requirements.
With the network-awareness, the endpoint will know the performance of
network, such as the endpoint will know the transmission time in
network and then calculate the rest of required time, and then it
will do the inner scheduling accordingly.
4. Requirements of computing and network joint resource reservation
For services with strict computing requirements, the resource
reservation should include network reservation and computing
reservation, also, the two will affect each other.
There is network resource reservation in traditional QoS guarantee
mechanism based on the network resources reservation calculation to
reserve specific resources for specific services. With new services
arising, the network resources reservation is not enough, since the
completion of services include not only network transmission but also
endpoint calculation, only reserving the network resources cannot
make sure the required computing resources are available during the
required time for specific service.
So facing the trend of computing and network convergence, it is also
required to reserve the computing resources together with the network
resources. Based on the awareness of service requirements and the
joint path optimization, it is required to map the computing
requirements into the corresponding computing resources reservation,
for example, to map the services type into the computing resources
type, and translate the computing latency requirements towards the
required amount computing resources.
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On the other hand, the reservation of network and computing resources
are closely linked, there will be different network resource
reservation policy considering the computing resources reservation.
For example, the order of the two resources reservation requires to
be considered since they are relative independent usually.
What's more, it is also required to dynamically adjust the resources
reservation according to real-time status. One scenario is that the
computing resource reservation could be adjusted based on the
information from network domain, including the reservation time and
also the reservation amount. Another scenario is the co-adjust of
the two resources reservation, in network domain, the path and the
relative reservation could be adjusted, and then the computing domain
is required to adjust on-demand.
5. Conclusion
Based on the new services' requirements on computing and network,
this document puts forward requirements of computing and network
joint optimization, and also proposes requirements of computing and
network joint resource reservation. Computing in network is a new
direction, how to collaborate computing and network need further
study.
6. IANA Considerations
TBD.
7. Security Considerations
TBD.
8. Acknowledgements
TBD.
9. Informative References
[I-D.li-apn6-problem-statement-usecases]
Li, Z., Peng, S., Voyer, D., Xie, C., Liu, P., Liu, C.,
Ebisawa, K., Previdi, S., and J. Guichard, "Problem
Statement and Use Cases of Application-aware IPv6
Networking (APN6)", draft-li-apn6-problem-statement-
usecases-01 (work in progress), November 2019.
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Authors' Addresses
Yuexia Fu
China Mobile
No.32 XuanWuMen West Street
Beijing 100053
China
Email: fuyuexia@chinamobile.com
Peng Liu
China Mobile
No.32 XuanWuMen West Street
Beijing 100053
China
Email: liupengyjy@chinamobile.com
Liang Geng
China Mobile
No.32 XuanWuMen West Street
Beijing 100053
China
Email: gengliang@chinamobile.com
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