Hypervisors at Hyperscale

Transcription

1 Hypervisors at Hyperscale ARM, Xen, Servers and Evolution of the Data Center Larry Wikelius Co-Founder & VP Software 1

2 Overview l Market Dynamics l Technology Trends l Roadmaps Where are we today l Use cases for Xen l Where do we go from here 2

3 Traditional IT Segments IT Infrastructure Enterprise IT Segment Volume Application Development Collaborative Web Infrastructure Business Processing Industrial R&D Decision Support Application Scale 3

4 Changing Focus on the Workloads Workload Optimized Systems & Data Centers Segment Volume Enterprise IT Traditional IT Workloads Distributed Storage Big Data/ Analytics Big Web Tier Application Scale 4

5 Web 2.0 Growth Target: > 40% of the Market $45,000 $40,000 $35,000 $30,000 $25,000 $20,000 $15,000 $10,000 $5,000 $ Web 2.0 Spend All Other Source: Oppenheimer 5

6 Web 2.0 MicroServers: > 40% share by 2016 $20,000 $18,000 $16,000 $14,000 $12,000 $10,000 $8,000 $6,000 $4,000 $2,000 $ Web 2.0 Spend Microserver / ULP Source: Oppenheimer 6

7 Interest in ARM in the Datacenter is Growing % considering ARM-based Processors for computing purchases Source UBS Global Investment Research, August 7, James F. Hillier. 7

8 Influence of a Mobile Technology Perspective Mobile processors designed for energy efficiency Target good performance/energy use trade- off Pioneered System- on- Chip (SOC) integra@on technology Deep on- chip power/clock/frequency ga@ng Modern mobile devices also require performance Tablets replacing laptops and desktops Mul@- core cellphones, with high end games Mixture of asynchronous compute w/offload Energy aware scheduling/power decisions 8

9 Technology Trends Single Core Performance We are reaching single-core performance limits -> 52% historical growth slows to 22% <- 9 Source: Computer Architecture 5 th edition

10 Technology Trends I/O Driven Workloads Distributed level storage becoming Ceph & Gluster and other Open Source Never throw any data away MapReduce approach to processing huge data sets Map large problems into smaller data chunks Reduce results from many nodes into end result Apache Hadoop is the well- known Industry Benchmark example Data Intensive Focus Graph500 - hxp:// 10

11 Technology Trends System-on-Chip (SOC) q q Integrate customized value q Standard compute (ARM core) with customized devices q Specialized peripherals, offload engines, enhancements q Thriving compe@@ve market Fine grain, Integrated management features q Out- of- band IPMI, secure provisioning, etc. q Value- add opportuni@es for OEMs/vendors q Good bye to axached displays and serial cables 11

12 Technology Trends Fabrics Transparent, reconfigurable interconnect between many SoCs No physical network ports required between systems Redundant paths and built- in Cluster level, server level and/or policy level controls Enhanced IO and networking to all nodes Replaces top of rack switch/cabling mess Low latency & high bandwidth Lower power and higher density Million node Data Centers 12

13 Reference System-on-Chip (SOC) EnergyCore Management Engine Advanced system, power and fabric optimization and management for energy-proportional computing I/O Controllers Standard drivers, standard interfaces. No surprises. Calxeda EnergyCore EnergyCore Management Engine I/O Controllers SATA, PCIe, Ethernet, SD/ emmc Processor Complex ARM ARM ARM ARM L2 Cache Memory Controllers EnergyCore Fabric Switch Processor Complex Multi-core ARM processors integrated with high bandwidth memory controllers EnergyCore Fabric Switch Integrated high-performance fabric converges internode communication, I/O, and storage networking 13

14 SOC Integration Benefits System Design Decrease Complexity, Improve Efficiency 4-16 GB DRAM ECC mini-dimms Quad-core servers 4 SATA / Node Power, SATA, & Fabric Approximately 10 A cluster of 4 servers 20 waxs No cables 14

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16 Linux OS Distro Support Ubuntu LTS ++ Fedora OpenSUSE Watch this space 16

17 Accelerating the Virtualization Eco-System First working code for Cortex-A15 w/ using hardware virtualization Linaro Enterprise Group (LEG): Servers, Virtualization and more Launch of Xen Project Xen 4.3 Release Xen 4.4 Release and Beyond 17

18 Advantages for Xen on ARM ARM history Small footprint Migration via Fabrics Workload optimized Consistent Management integration 18

19 ARM servers running Xen with OpenStack xapi novacompute Application Dom0 OpenStack VM Tenant VM Xen hypervisor ARM server node Nova, Quantum, Keystone, Glance, etc 19

20 OpenStack with Xen on ARM Leverage existing management APIs to dynamically instantiate workloads on ARM based Servers Deploy your cloud using a proven production grade hypervisor Community backed development and roadmap 20

21 Disruption on (legal) Steroids Efficient core architecture SOC OpenSource sobware OpenSource Hardware Changing workloads Greenfield 21

22 Where do we go Continued expansion in ARM roadmap Accelerating Eco-System - HW & SW Workload integrated Efficiencies and Optimizations 22