Superfluidity: A Superfluid, Cloud-Native, Converged Edge System

Transcription

1 Superfluidity: A Superfluid, Cloud-Native, Converged Edge System Call: H2020-ICT Topic: ICT : Advanced 5G Network Infrastructure for the Future Internet Project Coordinator: Nicola Blefari Melazzi Felipe Huici felipe.huici@neclab.eu

2 Partners Consorzio Nazionale Interuniversitario per le Telecomunicazioni Alcatel Lucent Bell Labs France Alcatel Lucent Israel British Telecom Citrix EBlink Intel Ireland NEC Europe OnApp Portugal Telecom Innovation and Systems Red Hat Telcaria Telefonica I+D Unified Streaming University Ben Gurion University of Liège University of Technology Dresden University Politehnica of Bucharest IT FR IL UK GR FR IE UK UK PT IL ES ES NL IL BE DE RO 09/07/2015 2

3 Overall Idea Run network processing virtualized, on-demand on thirdparty infrastructure located throughout the network At the core in data-centers At micro data-centers at PoPs in telecom networks At the edge, in RANs next to base stations and at aggregation sites Develop technologies to allow such services to be superfluid : Fast instantiation times (in milliseconds) Fast migration (in hundreds of milliseconds or less) High consolidation (running thousands on a single server) High throughput (10Gb/s and higher) 09/07/2015 3

4 functional view micro-dc microserver microserver microserver micro-dc micro-dc x86 Superfluid Architecture ACCESS NETWORK AGGREGATION NETWORK CORE NETWORK deploy deploy deploy deploy LTE PoP PoP Data center Internet Multi-cell aggregation site PoP Point-of- Presence site 5G base station site low delay, low compute/storage capacity higher delay, high compute/storage capacity Spectrum allocation Mobile context Content cache Firewall NAT DPI X86 VM.NET Amplifier MAC Nulling OpenFlow Switch OpFlex Switch VLAN Elastic Map Reduce 09/07/2015 4

5 Target Test Platforms x86 servers (AMD, Intel, ARM64 if available) Microservers (well suited to lightweight virtualization, edge deployments) Small physical size Can deploy almost anywhere Low power consumption Can be run off of a USB battery Passive cooling only Reduces energy consumption, no noise Low cost $30-$200 Intel Edison: 61/29/12 mm AMD Gizmo2: 10.16/10.16 cm Rasberry Pi B+: 85/5617 mm Wandboard i.mx6: 95/95 mm Minnowboard: 99/74 mm Odroid-U3: 87/52/29 mm 09/07/2015 5

6 Superfluid Cloud Properties The Four I s Location independence: services can be deployed (and relocated) at various networks depending on application needs Time independence: fast deployment and relocation in tiny timescales to guarantee service continuity Scale independence: transparently scale services in a cloudlike manner, provide massive consolidation Hardware independence: the network services (i.e., software) should run on all s, irrespective of the underlying hardware 09/07/2015 6

7 Main Project Goals Converged architecture: the superfluid will abstract the heterogeneity of (1) the underlying hardware and (2) the underlying access technologies Security by design, to automatically verify that deploying a particular virtualized service won t negatively affect the network or other services Next generation virtualization: very low instantiation/migration delays, high I/O bandwidth, tiny memory footprints for massive deployments. Heterogeneous hardware acceleration: leveraging commodity hardware such as FPGAs, GPUs, TCAMs, SoCs, etc) 09/07/2015 7

8 Sample Use Cases Minimum-delay cloud storage Localized services (e.g., gaming, video conferencing, etc.) Edge offloading (e.g., ad blocking, firewalling, etc.) On-the-fly monitoring DDoS Filtering Virtual CDNs Virtual CPEs 09/07/2015 8

9 A Small Taste 09/07/2015 9

10 Towards Superfluidity: Minimalistic Operating Systems Observation: general-purpose operating system contain a large amount of functionality that is not always needed (e.g., a virtualized NAT does not need a USB driver) Aim: reduce the overheads inherent in general purpose operating systems KERNEL SPACE USER SPACE driver1 driver2 drivern Vdriver1 vdriver2 app 1 app 2 app N Expose POSIX-like or part of a POSIX API in order to support legacy applications Further optimize through specialization: build only one or a few applications on top of the operating system app SINGLE ADDRESS SPACE Often a single memory space: no kernel/user-level divide GENERAL-PURPOSE OPERATING SYSTEM (e.g., Linux, FreeBSD) MINIMALISTIC OPERATING SYSTEM (e.g., MiniOS, OSv) 09/07/

11 Towards Superfluidity (on Xen) Improvements to the Xen toolstack for faster domain creation Without these, creating, e.g., 4,000 VMs takes 5 days Improved console backend polling mechanisms Re-implemented Xenstore core service Improved boot times by 40% Created new Xen toolstack for para-virtualized, specialized guests Enables small footprint guests to boot in only 10 milliseconds! Summary: can boot > 10K VMs on a single x86 server 09/07/

12 Thank you. Questions? 09/07/