This document discusses new storage and network features in vSphere 4.1 and vSphere 5.0 beta, including storage I/O control, network I/O control, storage vMotion, storage pod and dynamic scheduling, vDS NetFlow, vDS Port Mirroring, storage policy-based management, vStorage API for storage awareness, vStorage API for array integration, and virtual storage suitable for small and medium enterprises. These new features aim to provide quality of service, mobility, efficient pooling, elastic resource scheduling, transparency and control, automation through policy, and open interoperability.

1. 云之旅的 存储和网络篇
今天，明天，后天 。。。
何英 研发高级经理

2. 2 confidential
Cloud Infrastructure
and Management
3层架构
Secure Hybrid Cloud
Management
Automation
SaaS Apps
Existing Apps
Cloud Application Platform
New Enterprise Apps
Management
Automation
Other Clouds
Other Clouds
End User Computing
Management
Automation

3. 3 confidential
vSpherevCenter
vCloud
Director
vShield
云操作系统

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云之旅
COST EFFICIENCY
QUALITY OF SERVICE
BUSINESS AGILITY
Achieve
Unprecedented
Reliability
Get the Most
Out of Your
Infrastructure
Evolve to
IT as a Service
via Cloud
Computing
Architecture
IT as a ServiceBusiness ProductionIT Production
Preserving Freedom of Choice Through Open Standards

5. 5 confidential
存贮与网路的新功能： vSphere 4.1 和 vSphere 5.0 beta
 存贮IO控制 Storage IO Control (SIOC)
 网络IO控制 Network IO Control (NIOC)
 存贮迁移 Storage vMotion
 存贮池动态调度 Storage POD,DRS
 虚拟交换机网络流 vDS NetFlow
 虚拟交换机端口镜像 vDS Port Mirror
 基于策略存贮管理 Storage PBM
 存贮管理集成编程接口 vStorage API
Storage Awareness (VASA)
 存贮阵列集成编程接口 vStorage API for
Array Integration (VAAI)
 适合中小企业的虚拟存储 （SVA)
Quality of Service
Mobility
Efficient Pooling
Elastic Resource Scheduling
Transparency & Control
Automation Thru Policy
Open & Interoperable
New Storages

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存贮IO控制: SLA 保证
Description Benefits
• Advanced - Prioritize use of storage (similar to
how compute is prioritized with vSphere) per VM
• Business priorities now define low and high
priority storage resource access
• Create the “high speed” or HOV lane for VMs
Set storage quality of
service priorities per
virtual machine
Make Your Mission
Critical VMs VIPs
Guarantee
service levels
for access to
storage
resources
Datastore A
CPU shares: High
Memory shares: Highonlin
e
store
Microsoft
Exchange
data
minin
g
CPU shares: Low
Memory shares: Low
CPU shares: High
Memory shares: High
I/O shares: High I/O shares: LowI/O shares: High

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网络IO控制: SLA 保证
Description Benefits
• Provides tools to protect workload against
„noisy neighbor‟
• Enable predictable network IO performance for
a workload especially at times of contention.
• Business priorities now define low and high
priority network resource access as neede
• Multi-tenant QoS for VM‟s
Service priorities per flow
type (iSCSI, NFS, etc.)
Carve out network I/O for
a group of VMs (e.g. a
cloud tenant or org)
Enables network IO
priority for a group of
VM’s
Per-RP controls
IO limits
IO shares
802.1p
FT vMotion NFS
Distributed Switch
TCP/IP
iSCSI
10x GigE V
M
R
G
2
V
M
R
G
1
V
M
R
G
3
V
M
V
M
O
T
I
O
N
N
F
S
i
S
C
S
I
F
T
20 Gbps
H
B
R

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存贮迁移：灵活自如，快速不间断
 Use Cases
• Maintenance, load balancing, vStorage DRS
 Migrate live VM to new storage
• Virtual machine stays on same host
• Virtual machine disks may be individually placed
on separate datastores.
• Storage type independent (vSphere 4.0+)
• Snapshot support (vSphere 5.0)
 Migration does not disturb VM
• No downtime (typically <1 seconds)
• Transparent to guest OS and apps
• Minimal performance impact

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DRS Functions CPU & Memory Network Storage
Resource Aggregation Cluster vDS Storage pod
Load balancing
(bottleneck avoidance)
DRS Storage DRS
Workload Prioritization
shares limits
reservations
Network I/O Control:
traffic type， VM or pg
Storage I/O Control:
VMFS， NFS
Quotas: 2012+
存贮池及动态调度 POD Pool of Datastores
Datastore 1 Datastore 2 Datastore 3
pod1 pod2
 Admin places VM in a POD
 SDRS selects datastore
• Initial placement: most space or most free
• Migration (Storage vMotion)
 Decision criteria
• I/O load balance
• Space utilization
 Automation options
• Manual, Automatic, Scheduled

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虚拟交换机网络流: 实时监测工具
Enables capture of complete history for VM communication
Flow
• A sequence of packets with some common properties
• Identified by 7 properties: src/dst IP, src/dst port, input/output ID, protocol
• Statistical flow information
• start/end time, count of packets, count of bytes
Flow information analysis
• vDS collects flow information and exports it to collector
• Collector analyzes flow information and displays the result
Host
collector...
Host
...
vDS

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虚拟交换机端口镜像：诊断监听工具
Mirror packets from a port to another port
• Source
• Ingress source: mirror inputting packets to destination
• Egress source: mirror outputting packets to destination
• Destination
• Must on the same host of the source
• Could be VM, vmknic and uplink
Ingress
Source
Egress
SourceDestination Destination
vDS vDS

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存贮与网路的新功能： vSphere 4.1 和 vSphere 5.0 beta
 存贮IO控制 Storage IO Control (SIOC)
 网络IO控制 Network IO Control (NIOC)
 存贮迁移 Storage vMotion
 存贮池动态调度 Storage POD,DRS
 虚拟交换机网络流 vDS NetFlow
 虚拟交换机端口镜像 vDS Port Mirror
 基于策略存贮管理 Storage PBM
 存贮管理集成编程接口 vStorage API
Storage Awareness (VASA)
 存贮阵列集成编程接口 vStorage API for
Array Integration (VAAI)
 适合中小企业的虚拟存储 （SVA)
Quality of Service
Mobility
Efficient Pooling
Elastic Resource Scheduling
Transparency & Control
Automation Thru Policy
Open & Interoperable
New Storages

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基于的策略存贮管理
•Benefits
• Cloud scale storage management from
commodity parts.
• Zero touch HW management.
• Logical separation of objects and policies.
• Policy based enforcement for storage QoS.
•Features
• “Tagging” storage with custom/user-defined
capabilities
• VM profilesfom this feature, customers need:
• Automated/schedule-able compliance
checking
• Automated/schedule-able remediation
(integration with storage DRS)
• Expose via APIs!
Survey Quotes
Thumbs up!
•“Combined with SDRS, I
see a lot of Opex savings”
•“Greatly simplify how we
place VMs today… help
eliminate a lot of the logic
we have had to code into
our automation systems”
•“Saves time, money and
overall confusion”
Work needed
•“I definitely like the feature
and envision using it. I'm not
sold on the UI yet”
•“…Automatically migrate a
VM if it does not match the
storage policy”

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存贮阵列集成编程接口(VAAI): 高效存贮迁移及vmdk操作
Feature Name Description Benefit
vStorage API for Array
Integration (VAAI)
New protocol interfaces
between VMware and
storage arrays. These
APIs mean leverage of
array-based functionality
for the first time.
• vSphere platform
integration
• Eliminate redundancy
• Enhance Performance
• Storage vMotion
• Provisioning VMs
• Thin Provisioning
• VMFS
 In band, Block Based, and require firmware from Storage Vendors
 Three Primitives include
 Full Copy – Xcopy like function to offload work to the array
 Block Zeroing -Speeds up zeroing out of blocks or writing repeated content
 HW Assisted Locking – Alternate means to locking the entire LUN
 File Based too in the coming vsphere 5.0 release

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存贮管理集成编程接口(VASA): 双向管理及集成
Feature Name Description Benefit
vStorage API for Array
Integration (VAAI)
New protocol interfaces
between VMware and
storage arrays. These
APIs mean leverage of
array-based functionality
for the first time.
• vSphere platform
integration
• Eliminate redundancy
• Enhance Performance
• Storage vMotion
• Provisioning VMs
• Thin Provisioning
• VMFS Out-of-band APIs and are more for discovering the storage information and gather
storage stats from the array-side.
 Main funtions
 Storage topology, storage capability and integrated provisioning workflow
 IOPS integration / storage stats
 Events, Alarms
 Native Snapshot Management
 Storage DRS / SRA / SVA Integration
vStorage API for Storage
Awareness (VASA)
Eliminate “Black Box” Problem so lower Opex.
Increase SLA w/ visibility of topology, troubleshooting,
statistics collection, and event etc.
Enable storage DRS.

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虚拟存贮： 中小企业
• SVA loads as a VM
on ESX
• Uses internal disk -
no additional HW
required
• Clusters storage
across server nodes
• Provides virtual
volumes for VMotion
& HA across nodes
2 Node Cluster Example
Volumes synchronously replicated across ESX hosts
DAS DAS
Shared Internal Storage = SAN
ESX
SVA
ESX
SVA

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SVA 1.0: 优异性能，适当规模，可靠易用
 Optimized to support SMB-sized Microsoft and VMware workloads
(SQL Server, Exchange, Sharepoint, Zimbra, VDI)
• Approximately 1000 IOPS per node (HDD-based)
• Tuned for 4K, random 70% read/30% write, average 20ms latency
 Limited to 2- and 3-node configurations
• Supports up to estimated 25 (2 nodes) to 35 VMs (3 nodes)
 Availability – 2 levels of protection
• Synchronous mirroring across server nodes
• Local RAID10 or RAID5
• 99.9% uptime
 Highly simplified install/config – equivalent to cable modem
installation
• includes Essentials Plus and HA/VMotion configuration

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存贮与网路的新功能： vSphere 4.1 和 vSphere 5.0 beta
 存贮IO控制 Storage IO Control (SIOC)
 网络IO控制 Network IO Control (NIOC)
 存贮迁移 Storage vMotion
 存贮池动态调度 Storage POD,DRS
 虚拟交换机网络流 vDS NetFlow
 虚拟交换机端口镜像 vDS Port Mirror
 基于策略存贮管理 Storage PBM
 存贮管理集成编程接口 vStorage API
Storage Awareness (VASA)
 存贮阵列集成编程接口 vStorage API for
Array Integration (VAAI)
 适合中小企业的虚拟存储 （SVA)
Quality of Service
Mobility
Efficient Pooling
Elastic Resource Scheduling
Transparency & Control
Automation Thru Policy
Open & Interoperable
New Storages

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“后天”：未来预言声明
 This presentation is NOT
• A VMware roadmap
• An endorsement of specific technologies
• A statement on specific partners
 This presentation is
• A vision of how we think storage as a whole will evolve in the next 3-5 years as
a result of VMware and our ecosystem‟s efforts to
• Solve customer problems
• Leverage new and disruptive technologies
• Enable new solutions through virtualization
 Goals
• Communicate where we think the industry might be going
• Present ideas and options for your feedback
• Start a dialog about how you think we and our partners should progress

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未来： 服务器和虚拟桌面
 Storage will be a single pool
geographically
• VMs will be mobile across datacenters
as a result
• Users and business units will securely
share physical resources
 VM management on the storage will
• Be automated through policy
• Have automated feedback loops and
strong compliance reporting
 Physical storage for VMs will
• Achieve linear scalability at very large
scale: performance grows with capacity
• Be managed trivially as an utility
 Total Cost
• Virtual desktop storage will be
cost competitive with physical
desktop storage
• Management of storage for
virtualized desktops will be
simpler than for physical
desktops
 Scale
• Virtual desktop storage will
handle all IO storm types
 Customer Experience
• Desktop storage will be
accessible through VMs in the
datacenter and through
specialized applications on non-
PC devices around the world

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虚拟存贮当前问题
 Planning and sizing over time
 Cost of managing HW at scale
 Application SLA enforcement
for VMs
 Multi-tenancy and compliance
 Multi-datacenter management
 Optimizing HW value

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无限可扩的存贮
Scale-out option #1
separate storage tier
Scale-out option #2
server/storage combo
Technology Introduced
•Single pool of storage from
modular parts
•Split data and metadata paths
•Transparent load balancing
•Zero-touch HW management
Problems eliminated
•How to scale linearly without
bottlenecks
•Overhead for picking right
datastore based on load/space
•Managing datastore space and
performance
•Effort of HW management

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VMDK 基于策略的管理
Profile: Green
Snaps:
Every hour
Replication:
None
Shares:
1000
Profile: Red
Snaps:
None
Replication:
5 min RPO
Shares:
3000
Technology Introduced
• VM storage profile specification
• Classification of storage
capabilities
• VM provisioning to profile, not to
datastore
• Auto-selection of sufficiently
capable storage
• Compliance / audit against
policy specification
• Policies to change VM profile
over time
Problems eliminated
•Overhead for datastore selection
based on VM need
•Effort to check VM storage
compliance to business rules
•Stale VMs on expensive storage

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多租户及安全
Tenant: Finance
Key: 12345567
Tenant: HR
Key: 7654321
Technology Introduced
• Division of storage
objects into logical
groupings based on
ownership and access
• Identity management
• Key management
• Per-VMDK encryption
Problems eliminated
•X-business unit security
in enterprise
•Enterprise legal and
regulatory compliance
•Cloud x-customer
security
•Protect cloud customers
against “rogue cloud
admin”

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联邦存贮
Problems eliminated
•Eliminate downtime for datacenter
moves, consolidations, and maintenance
Technology Introduced
• Global identity for VMDKs across
datacenters: yours and/or service provider‟s
• Topological awareness for load balancing
and replication
• Leverage DR replicas for migrations

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虚拟桌面: Reduce Space w/ De-dup and Image Optimization
Windows SP1
Outlook Word
Firefox Acrobat
Project Google Desktop
Standard = Windows SP1 + Outlook
+ Firefox + Acrobat
Productivity = Word
VM1 = Standard + Productivity +
User1 (Project)
VM2 = Standard + Productivity +
User2 (Google Desktop)
VM3 = Standard
Host
Problems solved
•Extreme space savings without need
for reclamation
•Simple centralized patch
management without losing state

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虚拟桌面: 服务器端缓存
Host
Windows SP1
Outlook Word
Firefox Acrobat
Project Google Desktop
Host
Windows
SP1
Outlook Word
Firefox
Acrobat
Windows
SP1
Outlook Word
Firefox
Acrobat
Problems solved
•Read IO storms minimized

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虚拟桌面: 向云端延展
Host HostSwap VMDKs
VM Image Components
Virtualization Layer Virtualization Layer
Swap VMDKs
Personalizations
Problems solved
•Cheap backup and restore of
desktop state
•Remote access from multiple
devices

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关于新型应用的预言
 New data types
New data types will take on the bulk of the world‟s data,
moving it from traditional block, file, and RDBMS
 Application architecture change
The storage world needs to adjust to new application
architectures – scale-out and cloud ready
 Application centered data management
In the future, virtualization and cloud platforms will not be
able to rely on opaque encapsulated collections of OS,
app code, and data tightly coupled
We will need to start looking at managing data from an
application on down perspective – peering into the
application and understanding its different contents and
data types

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新数据类型及应用
New Data Services
• Blob for large write-once static content
• Key/value pair for lightweight mappings
• NoSQL for simple data relationships that can be
flexibly managed
• Message queues for message passing state
• HDFS for distributed searches and parallel
processing
•Often implemented as multi-tenant services in the
cloud for easy onramp by developer
•Great aggregate scale
•Low performance on individual data queries
• Exacerbated when implemented in the cloud
where QOS is not guaranteed today
• Result: need for a memory caching layer
(memcache, Gemfire, etc…)
Traditional
• NFS
• RDBMS
New
• Blob
• Key/value
• NoSQL
• HDFS
• Message Queue

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Compute
Layer
云计算与云存贮的整合
Templates
and media
Blob Store
VMDK
Service
Backup
and
Archive
Services
App
Mounted
Blobs
Caching

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虚拟网络的云之旅
Distributed
Virtual Switch
(2009)Managed
Virtual Switch
(2006)
Distributed
Virtual
Network

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Distributed vSwitch
one layer of abstraction?
Distributed Virtual Network
• On demand
• Transparent
• Scale Out
• Multi-Tenency
Distributed vSwitch
Physical Network
LoadBalance…
pSwitch
VLAN/QoSvSwitch
• Coordinating L2-7 services human
intensive  network not “transparent”
Physical Network
分布式虚拟网络 Distributed Virtual Network
vSwitch
IPAM
Standard Network Mgmt

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vChassis: Distributed Virtual Network Platform
 Chassis: Extensible (physical) network platform hosting line cards
(modules/plug-ins) for networking L2-7 services.
 vChassis: A platform to support, facilitate, and fulfill “distribute
virtual network” vision by VMware and its ecosystem.
• A standard network management framework
• A platform to enable on demand, scale-out, distributed, and end-to-end network
services, e.g.:
• “vChassis L2 Switch Line Card”
• “vChassis Intrusion Detection Service Line Card”
 Complete Programmable
• data plane – process line rate packets
• control plane – intercept, rationalize and enforce policy
• management plane – setup policies

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价值之一: 灵活的按需服务
Control Plane Fabric
vCenter
CP CP CP
DP
DP
DP
Distributed Control Plane
Distributed Data Plane
Distributed Traffic
Shaper Solution
Management Plane
DP
… …
DP
“I want what I want, and I want it now.”

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Control Plane Fabric
CP CP CP
Scale-out Control Plane
Scale-out Data Plane
DPDP
DP
DP
DP
Policy Based Mgmt
• Policy Composition
• Matching VM Requirements
with Solution Capability
价值之二：无限可扩架构
vCenter
… …
Scale-out Management Plane
Distributed Traffic
Shaper Solution
Management Plane

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价值之三: 性能卓越
vChassis
Solutions
• Scale-out Data and Control Plane Architecture
• Offloading HW Direct Access for vChassis Line
Cards
• Performance Isolation for Multi-Tenancy
vChassis
Platform
• Line Rate Raw Performance
• Controlled and Reproducible Performance

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价值之四: 内嵌虚拟Layer 2
Row1, Rack 1 Row2, Rack 5 Row20, Rack 1 Row1, Rack 1 Row2, Rack 5 Row 20, Rack 1
Security
ADC
L2/L3
Switch
L2/L3
Switch
WAN Edge
Router
WAN Edge
Router
WAN
Edge
Core
Tier
Aggregation
Tier
Access
Tier
Security
ADC
IPS
L2/L3
Switch
L2/L3
Switch
WAN Edge
Router
WAN Edge
Router
WAN
Edge
Core
Tier
Aggregation
Tier
Access
Tier
WAN
WAN
Scalable, Flexible, Fungible, Multi-Tenant L2
vSphere vSphere vSphere vSphere vSphere vSphere

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Billing
Service
Develop
Innovation examples:
SLA mgmt, Traffic Shaper, Load Balance, IPAM, App Perf Mgmt,
Distributed Router, etc.
价值之五: 生态系统，无限选择
Provider Choice
Certify
vChassis
Ecosystem