research-article

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UNO: uniflying host and smart NIC offload for flexible packet processing

Authors:

Hyunseok Chang,

Sarit Mukherjee,

Michael M. Swift,

T. V. LakshmanAuthors Info & Claims

SoCC '17: Proceedings of the 2017 Symposium on Cloud Computing

Pages 506 - 519

https://doi.org/10.1145/3127479.3132252

Published: 24 September 2017 Publication History

Abstract

Increasingly, smart Network Interface Cards (sNICs) are being used in data centers to offload networking functions (NFs) from host processors thereby making these processors available for tenant applications. Modern sNICs have fully programmable, energy-efficient multi-core processors on which many packet processing functions, including a full-blown programmable switch, can run. However, having multiple switch instances deployed across the host hypervisor and the attached sNICs makes controlling them difficult and data plane operations more complex.

This paper proposes a generalized SDN-controlled NF offload architecture called UNO. It can transparently offload dynamically selected host processors' packet processing functions to sNICs by using multiple switches in the host while keeping the data centerwide network control and management planes unmodified. UNO exposes a single virtual control plane to the SDN controller and hides dynamic NF offload behind a unified virtual management plane. This enables UNO to make optimal use of host's and sNIC's combined packet processing capabilities with local optimization based on locally observed traffic patterns and resource consumption, and without central controller involvement. Experimental results based on a real UNO prototype in realistic scenarios show promising results: it can save processing worth up to 8 CPU cores, reduce power usage by up to 2x, and reduce the control plane overhead by more than 50%.

References

[1]

Accolade ANIC. https://accoladetechnology.com/whitepapers/ANIC-Features-Overview.pdf.

[2]

Cavium LiquidIO. http://www.cavium.com/pdfFiles/LiquidIO_Server_Adapters_PB_Rev1.0.pdf.

[3]

Data Center Market Trends. http://www.te.com/content/dam/te-com/documents/broadband-network-solutions/global/data-center/brochures/presentation-data-center-market-trends.pdf.

[4]

Emerging Smart NIC Technology. http://www.csit.qub.ac.uk/News/Events/Belfast-2016-6th-Cyber-Security-Summit/PDFs/Filetoupload,631658,en.pdf.

[5]

Floodlight. http://www.projectfloodlight.org/floodlight/.

[6]

How to Port Open vSwitch to New Software or Hardware. http://openvswitch.org/support/dist-docs-2.5/PORTING.md.html.

[7]

Intel Advanced Encryption Standard (Intel AES) Instructions Set - Rev 3.01. https://software.intel.com/en-us/articles/intel-advanced-encryption-standard-aes-instructions-set.

[8]

Intel Clear Containers: A Breakthrough Combination of Speed and Workload Isolation. https://clearlinux.org/sites/default/files/vmscontainers_wp_v5.pdf.

[9]

Intel Gigabit Server Adapters. http://ark.intel.com/products/family/46829.

[10]

Intel QuickAssist Adapter Family for Servers. http://www.intel.com/content/www/us/en/ethernet-products/gigabit-server-adapters/quickassist-adapter-for-servers.html.

[11]

Max-flow min-cut theorem. https://en.wikipedia.org/wiki/Max-flow_min-cut_theorem.

[12]

Mellanox BlueField. http://www.mellanox.com/related-docs/npu-multicore-processors/PB_Bluefield_SoC.pdf.

[13]

Mellanox ConnectX-4. http://www.mellanox.com/related-docs/prod_adapter_cards/PB_ConnectX-4_VPI_Card.pdf.

[14]

Mellanox ConnectX-5. http://www.mellanox.com/related-docs/user_manuals/ConnectX-5_VPI_Card.pdf.

[15]

Minimum k-cut. https://en.wikipedia.org/wiki/Minimum_k-cut.

[16]

nDPI. http://www.ntop.org/products/deep-packet-inspection/ndpi/.

[17]

Netronome Agilio vRouter. https://netronome.com/media/redactor_files/SB_Netronome_Juniper_vRouter.pdf.

[18]

OpenDaylight. https://www.opendaylight.org.

[19]

OpenStack. https://www.openstack.org.

[20]

OpenStack Compute API. https://developer.openstack.org/api-ref/compute/.

[21]

OPNFV. https://www.opnfv.org.

[22]

PRADS - Passive Real-time Asset Detection System. https://gamelinux.github.io/prads/.

[23]

Processor Counter Monitor. https://github.com/opcm/pcm.

[24]

Programming Intel QuickAssist Technology Hardware Accelerators for Optimal Performance. https://01.org/sites/default/files/page/332125_002_0.pdf.

[25]

Putting Smart NICs in White Boxes. https://www.sdxcentral.com/articles/analysis/nics-white-boxes/2016/11/.

[26]

SD-WAN. https://en.wikipedia.org/wiki/SD-WAN.

[27]

Setting up the Python API of CPLEX. http://www.ibm.com/support/knowledgecenter/SSSA5P_12.5.1/ilog.odms.cplex.help/CPLEX/GettingStarted/topics/set_up/Python_setup.html.

[28]

TILEncore-Gx36. http://www.mellanox.com/related-docs/prod_multi_core/PB_TILEncore-Gx36.pdf.

[29]

Tilera Rescues CPU Cycles with Network Coprocessors. https://www.enterprisetech.com/2013/10/16/tilera-free-expensive-cpu-cycles-network-coprocessors/.

[30]

VMware. Data Center Micro-Segmentation. http://blogs.vmware.com/networkvirtualization/files/2014/06/VMware-SDDC-Micro-Segmentation-White-Paper.pdf.

[31]

Watts Up Meter. https://www.wattsupmeters.com.

[32]

TILE Processor Architecture Overview for the TILE-Gx Series. Technical report, Mellanox, 2012. Doc. No. UG130.

[33]

OpenFlow Switch Specification 1.5.0. Open Network Foundation, 2014.

[34]

A. Al-Shabibi et al. OpenVirteX: Make Your Virtual SDNs Programmable. In Proc. ACM HotSDN, 2014.

[35]

S. P. Antoine Kaufmann and N. K. Sharma. High Performance Packet Processing with FlexNIC. In Proc. ASPLOS, 2016.

[36]

H. Ballani et al. Enabling End-host Network Functions. In Proc. ACM SIGCOMM, 2015.

Digital Library

[37]

A. Belay, G. Prekas, A. Klimovic, S. Grossman, C. Kozyrakis, and E. Bugnion. IX: A Protected Dataplane Operating System for High Throughput and Low Latency. In Proc. USENIX OSDI, 2014.

Digital Library

[38]

M. Blott and K. Vissers. Dataflow Architectures for 10Gbps Line-rate Key-value-Stores. In Proc. IEEE Hot Chips 25 Symposium, 2013.

[39]

P. Bosshart et al. P4: Programming Protocol-Independent Packet Processors. ACM SIGCOMM Computer Communication Review, 44(3), 2014.

[40]

Z. Bozakov and P. Papadimitriou. AutoSlice: Automated and Scalable Slicing for Software-Defined Networks. In Proc. ACM CoNEXT, 2012.

Digital Library

[41]

M. Casado, T. Koponen, S. Shenker, and A. Tootoonchian. Fabric: A Retrospective on Evolving SDN. In Proc. ACM HotSDN, 2012.

Digital Library

[42]

H. Chang, S. Mukherjee, L. Wang, T. Lakshman, Y. Le, A. Akella, and M. Swift. UNO: Unifying Host and Smart NIC Offload for Flexible Packet Processing. Technical Report ITD-16-56788B, Nokia, 2016.

[43]

Cisco. Data Center Microsegmentation: Enhance Security for Data Center Traffic. http://www.cisco.com/c/en/us/solutions/collateral/data-center-virtualization/application-centric-infrastructure/white-paper-c11-732943.html.

[44]

E. Cuervo et al. MAUI: Making Smartphones Last Longer with Code Offload. In Proc. ACM MobiSys, 2010.

Digital Library

[45]

H. T. Dang et al. Network Hardware-Accelerated Consensus. In USI Technical Report Series in Informatics, 2016.

[46]

R. R. David F. Bacon and S. Shukla. FPGA Programming for the Masses. ACM QUEUE, 11(2), 2013.

[47]

W. Dietz, J. Cranmer, N. Dautenhahn, and V. Adve. Slipstream: Automatic Interprocess Communication Optimization. In Proc. USENIX ATC, 2015.

[48]

S. K. Fayazbakhsh, L. Chiang, V. Sekar, M. Yu, and J. C. Mogul. Enforcing Network-Wide Policies in the Presence of Dynamic Middlebox Actions using FlowTags. In Proc. USENIX NSDI, 2014.

Digital Library

[49]

D. Firestone. SmartNIC: Accelerating Azure's Network with FPGAs on OCS Servers. Open Compute Project, 2016.

[50]

X. Ge, Y. Liu, D. H. Du, L. Zhang, H. Guan, J. Chen, Y. Zhao, and X. Hu. OpenANFV: Accelerating Network Function Virtualization with a Consolidated Framework in OpenStack. In Proc. ACM SIGCOMM, 2014.

Digital Library

[51]

A. Gember, P. Prabhu, Z. Ghadiyali, and A. Akella. Toward Software-defined Middlebox Networking. In Proc. ACM HotNets-XI, 2012.

Digital Library

[52]

A. Gember-Jacobson et al. OpenNF: Enabling Innovation in Network Function Control. ACM SIGCOMM Computer Communication Review, 44(4), 2015.

[53]

B. Grot et al. Optimizing Data-Center TCO with Scale-Out Processors. IEEE Micro, 32(5), 2012.

Digital Library

[54]

B. Han, V. Gopalakrishnan, L. Ji, and S. Lee. Network Functions Virtualization: Challenges and Opportunities for Innovations. IEEE Communication Magazine, 53(2), 2015.

[55]

S. Han, K. Jang, A. Panda, S. Palkar, D. Han, and S. Ratnasamy. SoftNIC: A Software NIC to Augment Hardware. Technical Report UCB/EECS-2015-155, University of California, Berkeley, 2015.

[56]

A. Holt et al. Cloud Computing Takes Off. https://www.morganstanley.com/views/perspectives/cloud_computing.pdf. Morgan Stanley.

[57]

M. Honda, F. Huici, G. Lettieri, and L. Rizzo. mSwitch: A Highly-Scalable, Modular Software Switch. In Proc. ACM SOSR, 2015.

[58]

J. Hwang, K. K. Ramakrishnan, and T. Wood. NetVM: High Performance and Flexible Networking using Virtualization on Commodity Platforms. In Proc. USENIX NSDI, 2014.

[59]

Z. Istvan, D. Sidler, G. Alonso, and M. Vukolic. Consensus in a Box: Inexpensive Coordination in Hardware. In Proc. USENIX NSDI, 2016.

[60]

E. J. Jackson, M. Walls, A. Panda, J. Pettit, B. Pfaff, J. Rajahalme, T. Koponen, and S. Shenker. SoftFlow: A Middlebox Architecture for Open vSwitch. In Proc. USENIX ATC, 2016.

[61]

M. Kablan, A. Alsudais, E. Keller, and F. Le. Stateless Network Functions: Breaking the Tight Coupling of State and Processing. In Proc. USENIX NSDI, 2017.

[62]

N. Kang, Z. Liu, J. Rexford, and D. Walker. Optimizing the One Big Switch Abstraction in Software-Defined Networks. In Proc. ACM CoNEXT, 2013.

Digital Library

[63]

Y. Kanizo, D. Hay, and I. Keslassy. Palette: Distributing Tables in Software-Defined Networks. In Proc. ACM CoNEXT, 2013.

[64]

N. P. Katta, J. Rexford, and D. Walker. Incremental Consistent Updates. In Proc. ACM SIGCOMM Workshop on Hot Topics in Software Defined Networking, 2013.

Digital Library

[65]

S. Kent. IP Encapsulating Security Payload (ESP). RFC 4303, 2005.

[66]

A. Khrabrov and E. de Lara. Accelerating Complex Data Transfer for Cluster Computing. In Proc. USENIX HotCloud, 2016.

[67]

Kindervag, J. Build Security Into Your Network's DNA: The Zero Trust Network Architecture.

[68]

S. Larsen and B. Lee. Platform IO DMA Transaction Acceleration. In Proc. ACM Workshop on Characterizing Applications for Heterogeneous Exascale Systems, 2011.

[69]

J. Li, E. Michael, N. K. Sharma, A. Szekeres, and D. R. K. Ports. Just say NO to Paxos Overhead: Replacing Consensus with Network Ordering. In Proc. USENIX OSDI, 2016.

[70]

K. Lim et al. Thin Servers with Smart Pipes: Designing SoC Accelerators for Memcached. In Proc. ISCA, 2013.

Digital Library

[71]

Y. Luo, E. Murray, and T. L. Ficarra. Accelerated Virtual Switching with Programmable NICs for Scalable Data Center Networking. In Proc. ACM VISA, 2010.

Digital Library

[72]

H. Mekky, F. Hao, S. Mukherjee, Z.-L. Zhang, and T. Lakshman. Application-aware Data Plane Processing in SDN. In Proc. ACM HotSDN, 2014.

Digital Library

[73]

M. Moshref, M. Yu, A. Sharma, and R. Govindan. vCRIB: Virtualized Rule Management in the Cloud. In Proc. USENIX HotCloud, 2012.

[74]

M. Moshref, M. Yu, A. Sharma, and R. Govindan. Scalable Rule Management for Data Centers. In Proc. USENIX NSDI, 2013.

[75]

J. Nam, M. Jamshed, B. Choi, D. Han, and K. Park. Scaling the Performance of Network Intrusion Detection with Many-core Processors. In Proc. ACM/IEEE ANCS, 2015.

[76]

S. Palkar, C. Lan, S. Han, K. Jang, A. Panda, S. Ratnasamy, L. Rizzo, and S. Shenker. E2: A Framework for NFV Applications. In Proc. ACM SOSP, 2015.

Digital Library

[77]

Palo Alto Networks. Getting Started With a Zero Trust Approach to Network Security. https://www.paloaltonetworks.com/resources/whitepapers/zero-trust-network-security.html.

[78]

T. Park, Y. Kim, and S. Shin. UNISAFE: A Union of Security Actions for Software Switches. In Proc. SDN-NFV Security, 2016.

Digital Library

[79]

S. Peter, J. Li, I. Zhang, D. R. K. Ports, D. Woos, A. Krishnamurthy, T. Anderson, and T. Roscoe. Arrakis: The Operating System is the Control Plane. In Proc. USENIX OSDI, 2014.

Digital Library

[80]

J. Pettit. Open vSwitch and the Intelligent Edge. In Proc. OpenStack Summit Atlanta, 2014.

[81]

B. Pfaff et al. The Design and Implementation of Open vSwitch. In Proc. USENIX NSDI, 2015.

Digital Library

[82]

Z. A. Qazi, C.-C. Tu, L. Chiang, R. Miao, V. Sekar, and M. Yu. SIMPLE-fying Middlebox Policy Enforcement Using SDN. In Proc. ACM SIGCOMM, 2013.

Digital Library

[83]

S. Radhakrishnan, Y. Geng, V. Jeyakumar, A. Kabbani, G. Porter, and A. Vahdat. SENIC: Scalable NIC for End-Host Rate Limiting. In Proc. USENIX NSDI, 2014.

Digital Library

[84]

B. Raghavan et al. Software-Defined Internet Architecture: Decoupling Architecture from Infrastructure. In Proc. ACM HotNets-XI, 2012.

Digital Library

[85]

K. K. Ram, A. L. Cox, M. Chadha, and S. Rixner. Hyper-switch: A scalable software virtual switching architecture. In Proc. USENIX ATC, 2013.

Digital Library

[86]

K. K. Ram et al. sNICh: Efficient Last Hop Networking in the Data Center. In Proc. ACM/IEEE ANCS, 2010.

[87]

L. Rizzo, P. Valente, G. Lettieri, and V. Maffione. PSPAT: software packet scheduling at hardware speed. Preprint, 2016.

[88]

G. Sabin and M. Rashti. Security Offload Using the SmartNIC, A Programmable 10 Gbps Ethernet NIC. In Proc. Aerospace and Electronics Conference, 2015.

[89]

V. Sekar, N. Egi, S. Ratnasamy, M. K. Reiter, and G. Shi. Design and Implementation of a Consolidated Middlebox Architecture. In Proc. USENIX NSDI, 2012.

Digital Library

[90]

A. Shaikh, J. Rexford, and K. G. Shin. Load-Sensitive Routing of Long-Lived IP Flows. In Proc. ACM SIGCOMM, 1999.

Digital Library

[91]

J. Sherry, S. Hasan, C. Scott, A. Krishnamurthy, S. Ratnasamy, and V. Sekar. Making Middleboxes Someone else's Problem: Network Processing As a Cloud Service. In Proc. ACM SIGCOMM, 2012.

Digital Library

[92]

R. Sherwood et al. FlowVisor: A Network Virtualization Layer. In OpenFlow Switch Consortium, 2009.

[93]

P. Shinde, A. Kaufmann, T. Roscoe, and S. Kaestle. We need to talk about NICs. In Proc. USENIX HotOS, 2013.

[94]

D. Sturgeon. HW Acceleration of Memcached. In Proc. Flash Memory Summit, 2014.

[95]

A. Tootoonchian and Y. Ganjali. HyperFlow: A Distributed Control Plane for OpenFlow. In Proc. Internet Network Management Conference on Research on Enterprise Networking, 2010.

[96]

A. Wang, Y. Guo, F. Hao, T. V. Lakshman, and S. Chen. UMON: Flexible and Fine Grained Traffic Monitoring in Open vSwitch. In Proc. ACM CoNEXT, 2015.

Digital Library

[97]

Z. Wang, K. Liu, Y. Shen, J. Y. B. Lee, M. Chen, and L. Zhang. Intra-host Rate Control with Centralized Approach. In Proc. IEEE International Conference on Cluster Computing, 2016.

[98]

Y. Weinsberg, D. Dolev, P. Wyckoff, and T. Anker. Accelerating Distributed Computing Applications Using a Network Offloading Framework. In Proc. IEEE Parallel and Distributed Processing Symposium, 2007.

[99]

M. Yu, J. Rexford, M. J. Freedman, and J. Wang. Scalable Flow-Based Networking with DIFANE. In Proc. ACM SIGCOMM, 2010.

Digital Library

Cited By

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Khalilov MChrapek MShen SVezzu ABenz TDi Girolamo SSchneider TDe Sensi DBenini LHoefler TBagchi SZhang Y(2024)OSMOSISProceedings of the 2024 USENIX Conference on Usenix Annual Technical Conference10.5555/3691992.3692007(247-263)Online publication date: 10-Jul-2024
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Index Terms

UNO: uniflying host and smart NIC offload for flexible packet processing
1. Networks
  1. Network components
    1. Middle boxes / network appliances

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SoCC '17: Proceedings of the 2017 Symposium on Cloud Computing

September 2017

672 pages

ISBN:9781450350280

DOI:10.1145/3127479

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