how to build a stable and robust base for a “cloud”

How To Build A Stable And

Robust Base

For a “Cloud”

Doctor Cheng Liang

Pengyun Network Technology

Historical Background and Cloud Trends

• Overturn of traditional business

models

• The transactional businesses based

on the Internet or mobile terminals

have grown exponentially

• The requirements for user

experience are higher

– Available at anytime

– Smooth accesses

– Comprehensive functions

– Safe and Reliable

Imperative Cloud Transition

• The challenges and opportunities brought by "Internet+" force the transition form traditional data centers to cloud computing

• Objects hosted by the cloud platform: – New business system

– Incremental IT

– The transition of inventory IT

• Hot spots of construction: private clouds and industrial clouds

Imperative Storage Platform Transition

Cloud Computing Data Center

Traditional Enterprise IT

Cloud Storage

Distributed Storage

Software

Universal PC Server

and Built-in Storage +

Traditional Storage

Traditional StorageVSCloud Storage

Procurement Costs

High-cost Dedicated Hardware Low-cost Universal Hardware

The higher requirements, the more expensive Non-universal, poor resource utilization Bound to vendors

lower cost, but higher capacity Universal hardware, high utilization, on-demand flow Not bound to hardware vendors, pro-competitive

Capacity Expansion Costs

High Input, Periodic Capacity Expansion

Low Input, On-demand Capacity Expansion

One-time high input, locked funds Expansion of old equipment, weak input-output ratio Bound to vendors, seller's market

on-demand input, optimized allocation of funds Using mainstream hardware, reasonable input-output ratio Not hardware bound to vendors, buyer's market

Operation and Maintenance Costs

Dependent on Mechanical Operation and Maintenance

Dependent on System's Intelligent Operation and

Maintenance Universal pare parts, high cost Dedicated teams and technologies, high staffing cost Complex operation and maintenance, high input in professional services

Universal spare parts, low cost No specific requirements, low staffing cost Simple operation and maintenance, no need of professional services

Time Costs

Sudden Construction, Pursue Opportunities

Ready to Use, Meet Opportunities

Establishment or expansion takes a very long period Complex resource allocation, slow

Fast commissioning Fast resource allocation

Traditional Storage Environments Cloud Storage

Cloud Storage is the Cloud Infrastructure

• Data storage of video surveillance system


• It stores the pictures and video in billions of mobile devices (mobile phones)

Cloud Storage

Definition of Cloud Storage

应用实例

Software Defined Storage

X86Storage Servers

Cloud Storage External

interfaces

Distributed Block Storage

Distributed Database Storage

Object Storage


• The construction of cloud software stacks needs to be based on cloud storage

IaaS Cloud Storage Cloud

computing Software definition network

PaaS Cloud Resource Scheduling

Cloud Software Installation

Cloud Resource Management

SaaS Virtual Desktop

Web Application

Big Data Analysis

Economical Hardware

X86Servers, Network Switches, etc.


• The construction of cloud software stacks needs to be based on cloud storage

IaaS

PaaSand SaaS

Workflow Cloud Services

Message Cloud

Services


Virtual Desktop

Web Application

Big Data Analysis

Software Defined

Computing


Distributed Database Storage

Object Storage

Characteristics of Cloud Storage Products

• "Three Highs"

– High Scalability

– High Availability

– High Performance

• "One Intelligent"

– Intelligent Self-Maintaining

Pengyun Reliable Intelligent Storage


Distributed File Storage

Distributed Object Storage

Distributed Database

We are not porters

We don't take "shortcuts"

Based on Surpassing

Starting from the Bottom

We are engineers

Project Formation

Pengyun ZettaStor Technology-leading Storage

Products

High Scalability Horizontal Scalability It can support millions of nodes ZB-level mass storage

High Performance

Parallel IO Processing Hard Disk IO Strategy Optimization Optimization of Network Paths

High Availability

Share-Nothing Architecture No single-point failure Failure self-healing, which doesn't affect the application

Cloud Storage How to Achieve Higher Scalability

Fully Distributed Architecture Share-Nothing Architecture No Central Control Node Million-level Scalability

Control

Node

Node Node

Node Node

Limited Scalability Difficult to Support Large-scale Environments

Unified Central Control Nodes??

Cloud Storage How to Achieve Higher Performance

User Block Data

Object Layer Transition

File System Layer Transition

Physical Storage Location

Multiple Transitions High Cost, High Latency

Non-native Block Storage??

User Block Data

Physical Storage Location

Real Native Block Storage Direct Bare Disc Operation High Performance, Low Latency

Cloud Storage How to Achieve Higher Performance

Multiple Data Forwarding High Latency, Low Performance

Too Long Network Data Path? Optimized Network Data Path Direct Data Distribution Low Latency, High Performance

Cloud Storage How to Achieve Higher Availability

Metadata User Data

Copy 1

Copy 2

Copy 3

Metadata and User Data Distributed and stored in

the system together With multiple copies at

the same time After a certain copy is

invalid, the system will generate a new copy on the other nodes

Cloud Storage How to Achieve Intelligent

Maintenance-free

Each Storage Node with Intelligence Perceive the health status of

any other nodes Automatically work together

with other nodes

Best Practices of Cloud Storage Architecture

Share Nothing(purely distributed) architecture, no central control node

High Scalability

Native block storage, the bottom layer doesn't use file system or object storage

Optimize network data path Disk IO optimization and

others

High Performance

Eliminate single-point failure Intelligent failure self-healing,

automatic data reconstruction

High Availability.

Each node is intelligent Work together with

other nodes Intelligent Maintenance-free

应用实例

Cloud Virtual Machines Database Applications

NASSystems

ZettaStor DBS Volume

Generated

ZettaStor DBS and the

Managed Hardware

ZettaStor DBS Application

Scenario

Support the Hyper-Converged Architecture

Pengyun ZettaStor DBS Technology-leading ServerSAN Products

Pengyun ZettaStor DBS Technology-leading ServerSAN Products

NAS

Data Access Interface Integrated Interface

RESTful API

OpenStack

Cinder Driver DFS iSCSI PYD

Pengyun ZettaStor's Customers and Partners

B2B: Construct Private Clouds for Enterprises Customers' Industries: Operation, finance, government, military,

medical, IT, scientific research, culture and entertainment, manufacturing, transportation, media, energy

IaaS Cloud Storage

Cloud computing

Cloud Network

PaaS Cloud Resource Scheduling

Cloud Software Installation


SaaS Web Application

Virtual Desktop

Big Data Analysis

Economical Hardware X86Servers, Network Switches, etc.

·

Our Products

Block Device Storage OR ServerSAN

Object Storage

ServerSAN's Market Forecasts

Thank you for your supports!

Please pay attention to more coming contents

Software-defined Data Center Special Keynote Speech