Internet Research Task Force (IRTF) | S. Lee |
Internet-Draft | ETRI |
Intended status: Informational | S. Pack |
Expires: April 27, 2015 | KU |
M-K. Shin | |
ETRI | |
E. Paik | |
KT | |
October 24, 2014 |
Resource Management for Dynamic Service Chain Adaptation
draft-lee-nfvrg-resource-management-service-chain-00
This document specifies problem definition and use cases of dynamic service chain adaptation for traffic optimization, failover, load balancing, etc. It further describes design considerations and relevant framework for the resource management capability that dynamically creates and updates network forwarding paths (NFPs) considering resource state of VNF instances.
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Network Functions Virtualisation (NFV) [ETSI-NFV-WHITE] offers a new way to design, deploy and manage network services. The network service can be composed of one or more network functions and NFV relocates the network functions from dedicated hardware appliances to generic servers, so they can run in software. Using these virtualized network functions (VNFs), the network service can be described by a service chain (or VNF forwarding graph; VNF-FG) which defines an ordered sequence of VNFs for the composed service. The VNF-FG can be instantiated by creating or selecting VNF instances and virtual links (VLs) among them, which results in a network forwarding path (NFP).
The performance or state of the NFP depends on the ones of VNF instances and underlying NFVI resources. For example, if one of the VNF instances in a NFP gets failed, the whole network service using the NFP also gets failed. Thus, the VNF instances per NFP need to be carefully selected at VNF-FG instantiation or dynamically replaced by other VNF instances at run-time for better performance and resilience.
This document specifies problem definition and use cases for dynamic service chain adaptation for traffic optimization, failover, load balancing, etc. It further describes design considerations and relevant framework for the resource management capability that dynamically creates and updates NFPs considering resource state of VNF instances.
This document mainly focuses on the resource capability in the ETSI NFV framework [ETSI-NFV-ARCH] but also studies its applicability to the control plane of SFC architecture [I-D.ietf-sfc-architecture].
This document uses the following terms and most of them were reproduced from [ETSI-NFV-TERM].
The goal of dynamic service chain adaptation is to optimize the performance of network services. To meet this goal, NFPs of the network services need to consider the state of NFV resources (such as VNF instances or virtual links) at construction. The NFPs also need to dynamically adapt to the changes of the resource state at run-time, such as availability, load, and topological locations of VNF instances. The adaptation of NFPs can be executed by monitoring the resource state of VNF instances and VLs and replacing the original VNF instances of the NFP with new VNF instances that constitute a NFP with better performance. This functionality can be a part of Orchestrator functional building block in the NFV framework [ETSI-NFV-MANO] but it needs further study.
There are several use cases of dynamic service chain adaptation: fail-over, end-to-end service optimization, traffic optimization, load balancing, energy efficiency, and so on.
Fail-over
When one of VNF instances in a NFP gets failed to run due to failure of its VM or underlying network, the whole chain of network service also gets failed. For service continuity, the failure of VNF instance needs to be detected and the failed one needs to be replaced with the other one which is available to use. Figure 1 presents an example of the fail-over use case. A network service is defined as a chain of VNF-A and VNF-B; and the service chain is instantiated with VNF-A1 and VNF-B1 which are instances of VNF-A and VNF-B respectively. In the meantime, failure of VNF-B1 is detected so that VNF-B2 replaces the failed one for fail-over of the NFP.
+--------+ +--------+ | VNF-B2 | #| VNF-B2 |### +--------+ +--------+ +--------+ # +--------+ ###| VNF-A1 | _|_ ###| VNF-A1 |# _|_ +--------+ (___) +--------+ (___) ___/ # / \ \ ___/ / \ (___)+---#------+ + ===} (___)+----------+ + # \ ___ / / \ ___ / # (___) (___) # | | # +--------+ +--------+ ######| VNF-B1 |### (failure)--> | VNF-B1 | +--------+ +--------+ ### NFP
Figure 1: A fail-over use case
End-to-end service optimization
Traffic for a network service traverses all of the VNF instances given by a NFP before reaching a target end point. Thus, stretch of the traffic route along a NFP may vary according to topological locations of VNF instances and such stretch needs to be kept low to make topological distance of two end points of the network service short. This stretch can be managed by constructing or adapting the NFP considering topological locations of the VNF instances.
Traffic optimization
A network operator may provide multiple network services with different VNF-FGs and different flows of traffic traverse between source and destination end-points along the VNF-FGs. For efficiency of network management resource usage, the NFPs need to be built as to localize the traffic flows or as to avoid bottleneck links shared by multiple traffic flows. In this case, multiple NFV instances of different NFPs need to be considered together at constructing a new NFP or adapting one.
Load balancing
A single VNF instances may be shared by multiple traffic flows of the same of different network services. In order to avoid bottleneck points due to overloaded NFV instances, NFPs need to be constructed or maintained to distribute workloads of the shared VNF instances.
Energy efficiency
Energy efficiency in the network is getting important to reduce impact on the environment so that energy consumption of VNF instances using VNFI resources (e.g., compute, storage, I/O) needs to be considered at NFP construction or adaptation. For example, a NFP can be constructed as to make traffic flows aggregated into a limited number of VNF instances as much as its performance is preserved in a certain level.
To support the aforementioned use cases, it is required to support resource management capability which provides service chain (or NFP) construction and adaptation by considering resource state or attributes of VNF instances and virtual links among them. The resource management operations for service chain construction and adaptation can be divided into several sub-actions:
Note: While scaling-in/out or -up/down of VNF instances is an essential action for NFV resource management, sub-actions with scaling for service chain adaptation are still under study.
As listed above, VNF instances are selected or replaced according to monitoring or evaluation results of performance metrics of the VNF instances and virtual links. Studies about evaluation methodologies and performance metrics for VNF instances and NFVI resources can be found at [ETSI-NFV-PER001] [I-D.liu-bmwg-virtual-network-benchmark] [I-D.morton-bmwg-virtual-net]. The performance metrics of VNF instances and virtual links specific to service chain construction and adaptation can be defined as follows:
The resource management functionality for dynamic service chain adaptation takes role of NFV orchestration with support of VNF manager and Virtualised Infrastructure Manager (VIM) in the NFV framework [ETSI-NFV-ARCH]. Detailed functional building block and interfaces are still under study.
IETF SFC WG provides a new service deployment model that delivers the traffic along the predefined logical paths of service functions (SFs), called service function chains (SFCs) with no regard of network topologies or transport mechanisms. Basic concept of the service function chaining is similar to VNF-FG where a network service is composed of SFs and deployed by making traffic flows traversed instances of the SFs in a pre-defined order.
There are several works in progress in IETF SFC WG for resource management of service chaining. [I-D.ietf-sfc-architecture] defines SFC control plane that selects specific SFs for a requested SFC, either statically or dynamically but details are currently outside the scope of the document. There are other works [I-D.ww-sfc-control-plane] [I-D.lee-sfc-dynamic-instantiation] [I-D.krishnan-sfc-oam-req-framework] [I-D.aldrin-sfc-oam-framework] which define the control plane functionality for service function chain construction and adaptation but details are still under study. While [I-D.dunbar-sfc-fun-instances-restoration] and [I-D.meng-sfc-chain-redundancy] provide detailed mechanisms of service chain adaptation, they focus only on resilience or fail-over of service function chains.
TBD.
TBD.
[RFC2119] | Bradner, S., "Key words for use in RFCs to Indicate Requirement Levels", BCP 14, RFC 2119, March 1997. |
[ETSI-NFV-ARCH] | ETSI, "ETSI NFV Architectural Framework v1.1.1", October 2013. |
[ETSI-NFV-MANO] | ETSI, "Network Function Virtualization (NFV) Management and Orchestration V0.6.3", October 2014. |
[ETSI-NFV-PER001] | ETSI, "Network Function Virtualization: Performance and Portability Best Practices v1.1.1", June 2014. |
[ETSI-NFV-TERM] | ETSI, "NFV Terminology for Main Concepts in NFV", October 2013. |
[ETSI-NFV-WHITE] | ETSI, "NFV Whitepaper 2", October 2013. |
[I-D.aldrin-sfc-oam-framework] | Aldrin, S., Pignataro, C. and N. Akiya, "Service Function Chaining Operations, Administration and Maintenance Framework", Internet-Draft draft-aldrin-sfc-oam-framework-00, July 2014. |
[I-D.dunbar-sfc-fun-instances-restoration] | Dunbar, L. and A. Malis, "Framework for Service Function Instances Restoration", Internet-Draft draft-dunbar-sfc-fun-instances-restoration-00, April 2014. |
[I-D.ietf-sfc-architecture] | Halpern, J. and C. Pignataro, "Service Function Chaining (SFC) Architecture", Internet-Draft draft-ietf-sfc-architecture-02, September 2014. |
[I-D.krishnan-sfc-oam-req-framework] | ramki, r., Ghanwani, A., Gutierrez, P., Lopez, D., Halpern, J., Kini, S. and A. Reid, "SFC OAM Requirements and Framework", Internet-Draft draft-krishnan-sfc-oam-req-framework-00, July 2014. |
[I-D.lee-sfc-dynamic-instantiation] | Lee, S. and M. Shin, "SFC dynamic instantiation", Internet-Draft draft-lee-sfc-dynamic-instantiation-00, July 2014. |
[I-D.liu-bmwg-virtual-network-benchmark] | Liu, V., Liu, D., Mandeville, B., Hickman, B. and G. Zhang, "Benchmarking Methodology for Virtualization Network Performance", Internet-Draft draft-liu-bmwg-virtual-network-benchmark-00, July 2014. |
[I-D.meng-sfc-chain-redundancy] | Meng, W. and C. Wang, "Redundancy Mechanism for Service Function Chains", Internet-Draft draft-meng-sfc-chain-redundancy-00, July 2014. |
[I-D.morton-bmwg-virtual-net] | Morton, A., "Considerations for Benchmarking Virtual Network Functions and Their Infrastructure", Internet-Draft draft-morton-bmwg-virtual-net-01, July 2014. |
[I-D.ww-sfc-control-plane] | Li, H., Wu, Q., Boucadair, M., Jacquenet, C. and W. Haeffner, "Service Function Chaining (SFC) Control Plane Achitecture", Internet-Draft draft-ww-sfc-control-plane-03, September 2014. |