云計算技術(shù)與架構(gòu)前瞻

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云計算技術(shù)與架構(gòu)前瞻,Presented by: Fubo Zhang,云計算的市場前景 云計算的現(xiàn)狀 云計算的技術(shù)、架構(gòu)發(fā)展趨勢,內(nèi)容提要,,,3,1979: CFD Contributions to the 767,,,4,2005: CFD Contributions to the 787,,,Gartner View of Private Cloud Market,可升級的,共享,自動化,彈性計算,451 Group View of the Cloud Market,,管理,自動化,安全,存儲,Forrester View on Cloud Computing Platforms,,云計算實現(xiàn)的3 條路徑,,,Time,Scope of sharing,2003,2015,2009,,Client/Server Silos,Public & Private Cloud,9,,公共云 -- What do we believe?,ESX,,Virtual Machine,Virtual Machine,,Virtual Machine,Virtual Machine,,Virtual Machine,Virtual Machine,,物理機,,,,,,,PC cloud,手機 移動上網(wǎng) – 3G,上網(wǎng)機 Internet 接入上網(wǎng),Workstation VIP 接入,10,虛擬機,公共云 -- What do I believe?,11,PC cloud 上網(wǎng)筆記本等終端設(shè)備 臺式電腦、筆記本將會被淘汰 虛擬PC服務(wù)運營商將會替代MS和google Data Bank 解決數(shù)據(jù)、信息安全的最終解決方案 衍生許多種數(shù)據(jù)服務(wù)， 比如醫(yī)療健康，個人企業(yè)信用征詢，個人數(shù)據(jù)銀行 Many SPs PC SP Storage SP Game SP Many SAAS SPs Many other SPs,Platform ISF,,,,HPC Apps,Test & Dev,Analytics,LSF, Symphony, …,LSF, Symphony, …,Private cloud management software,私有云,,Java,JBoss, Tomcat, …,數(shù)據(jù)中心體系很復雜， 系統(tǒng)的維護和管理難度大 IT成本高，資源占用多，配置峰值資源需求 = 浪費資源 系統(tǒng)穩(wěn)定性、可靠性低。人工服務(wù)為主，高成本、低滿意度 IT傳統(tǒng)模式不能適應(yīng)業(yè)務(wù)部署速度的需求 （至少2個月）,地理上分布的用戶,根據(jù)應(yīng)用靜態(tài)分配IT資源,Supply and Demand Not Aligned,今天IDC 數(shù)據(jù)中心的挑戰(zhàn),云計算（虛擬化）帶來的好處,資源虛擬化，從而實現(xiàn)全局共享 節(jié)省投資 SOA 框架使得IT能對業(yè)務(wù)需求提供快速部署， 時間從原來的幾個月縮短到半天 提高了業(yè)務(wù)支撐能力 一體化管理打破了原來IT煙囪式業(yè)務(wù)系統(tǒng)管理，使得系統(tǒng)維護人員的效率大大提高 運維效率提高 消除單點故障造成的穩(wěn)定、可靠性問題 提高系統(tǒng)穩(wěn)定性和可靠性 幫助IT投資風險和決策 Smart IT 節(jié)能減排 綠色IT,,,,,,,實現(xiàn)云計算（虛擬化）的困難,沒有成熟的產(chǎn)品和方案讓運營商有直觀的理解。 各個廠商都在推、強調(diào)自己的云計算概念和產(chǎn)品，像盲人摸象，無法讓用戶有個全局的認識。 現(xiàn)有IT系統(tǒng)的改動成本和風險 傳統(tǒng)業(yè)務(wù)系統(tǒng)虛擬化改造 少有成功案例可以借鑒 組織管理和人們的認識需要提高,Platform在實現(xiàn)云計算方面的優(yōu)勢,Platform已經(jīng)有了自己的云計算產(chǎn)品ISF -- IAAS Platform的云計算產(chǎn)品是建立在許多用戶的需求上的， 如 JP Morgen, CityBank, Amazon, Alatum 我們幫助用戶實現(xiàn)小步快跑的策略， 降低IT系統(tǒng)的改動成本和風險 我們本地有近200名研發(fā)團隊來協(xié)助用戶的業(yè)務(wù)系統(tǒng)虛擬化改造 Platform已有幾個云計算成功案例 Platform可提供業(yè)務(wù)培訓和成功用戶案例考察,Java Cloud: Fortune 500 FS Companies,,App Server,App 1,,,,,煙囪式的業(yè)務(wù)系統(tǒng)導致了系統(tǒng)部署時間長，資源利用率低下，IT管理維護成本高,,,,,,,,,,,,,,,,,,,Virtual Servers,Self-Service Portal,100s Java 應(yīng)用軟件運行在1000s UNIX SMP 服務(wù)器,,App Server,App 2,,App Server,App N,App 1,App 2,App N,挑戰(zhàn),環(huán)境,SaaS Cloud: Fetch Technologies,Platform ISF,,CUST A,,CUST B,,CUST C,,CUST X,…,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,由于手動部署業(yè)務(wù)系統(tǒng)，無法滿足日益增長的業(yè)務(wù)需求 簡單的用戶系統(tǒng)配置的改變，需要幾個小時乃至幾天,200 virtual servers in production and test/dev using VMware,環(huán)境,挑戰(zhàn),IaaS Cloud: SingTel,在人工操作的方式下， 管理和維護出租的計算機、計算用戶使用情況和計費非常的不方便,Xen, VMware, Hyper-V, and physical blades on 2,400 cores providing public cloud services,挑戰(zhàn),環(huán)境,HPC Cloud: CERN,系統(tǒng)無法為用戶提供靈活的資源配置，需要等待很長的時間,RHEL, KVM, Xen, Hyper-V for widely diverse set of scientific applications on x86 commodity boxes,挑戰(zhàn),利用私有云的技術(shù)Platform ISF自動管理和部署系統(tǒng),在固有的資源上， 開發(fā)了更多的服務(wù)項目; 對一些應(yīng)用系統(tǒng)的運行效率提高了一倍多 降低成本， 提高資源利用率 通過自動化管理， 降低了維護費用,解決方案,Benefits,環(huán)境,3 個層次的云計算服務(wù),2017/10/26,21,Each level provides a higher level of service abstraction & may use lower level(s),云計算體系架構(gòu),服務(wù)調(diào)度和管理引擎,,云計算平臺VM中間構(gòu)建,IAAS 調(diào)度分配引擎,資源池,IAAS,服務(wù)管理,SAAS,PAAS,服務(wù)系統(tǒng),IAAS 服務(wù)平臺,服務(wù)應(yīng)用系統(tǒng),,,,云計算門戶,IDC 服務(wù),,,,,,,,Placement Engine Policy,10/26/2017,23,Placement Engine,1) Application Topology,DB,App Server,App Server,App Server,Web Server,Web Server,,,,2) Resource Hierarchy,3) Network Access Cost Matrix (Available Bandwidth / Dynamic Utilization),,,,,DC,Rack Group,Rack Group,Rack Group,,Rack,Rack,,,Tier 1,Tier 2,Tier 3,,,,,,,Rack,Rack,Rack,Rack,,,,,,,,,,,,,,,,,,Output: Initial Placement - Run-Time Management - Defragmentations& Migration,DC,/,,,,,,,,,4) Previous reservations committed & Account Quotas,,5) C-language plug-in placement policy: vem_policy_init() vem_policy_fin() vem_policy_distribute() vem_policy_place() vem_policy_housekeep() vem_policy_status() vem_policy_info(),,基于資源可用狀態(tài)的分配策略,PTM Framework,Application-Aware 調(diào)度,ISF Master,Application Orchestrator,,KVM Hypervisor Resource Group,Deploy & Monitor VMs,Monitor,,Get historical usage,Grow/Shrink,,Vmware Hypervisor Resource Group,Physical Linux Resource Group,Application Performance Manager,,ICM,PVMO,PTM,,Call ISF or send Alert,1,3,2,需求: 動態(tài)的調(diào)整業(yè)務(wù)應(yīng)用對資源的需求改變，而無須修改應(yīng)用的中間件 輸入： 系統(tǒng)負載參數(shù)(cpu, mem) 集成的應(yīng)用軟件效率管理系統(tǒng) 需求的調(diào)度策略,Add custom attributes about hosts from 3rd party tools via API Attributes can be used in scheduling & placement policies Useful to organize hosts by location, energy efficiency, model types, lease dates Supports both static and dynamic attribute updates,資產(chǎn)管理與監(jiān)控,,Asset DB,Resource Updater,Monitoring DB,ISF,CMDB,,API,資源使用數(shù)據(jù)用來做計費和能力規(guī)劃,Rate Definition,Usage Data Reserved Amount & Time On-Demand Amount & Time CPU Usage Mem Usage By Account By Application Def By User By Resource Group,Platform ISF,HPC Application,Reporting App,JBOSS App,External Billing System,Other Data,存儲的集成,,,,10G,10TB,Storage Containers,5G,100G,5TB,20TB,2G,10G,Storage Adaptor,ISF Master,25G,50G,適配器來發(fā)現(xiàn)存儲的內(nèi)容和生成存儲的資源池 用戶使用存儲資源就如同使用一個服務(wù)的定義 系統(tǒng)可以預約存儲資源 系統(tǒng)啟動適配器來生成存儲的分配空間 工作流和后置配置步驟用來連接存儲服務(wù)器,,,Storage Manager APIs (EMC, NetApp),,High Performance,Mid-range storage,Low-end storage,網(wǎng)絡(luò)集成,企業(yè)私有云,West Coast Data Center,East Coast Data Center,Europe Data Center,ISF Market Place Broker,Enterprise Messaging Infrastructure / JMS,Enterprise DB Infrastructure,,Remote Proxy,,,Leverage EGO capabilities to distribute ISF services across multiple nodes and provide centralized monitoring, troubleshooting, and HA,Application,,,End-User,Cloud Admin,ISF Master Node,P-VMO,Portal,ICM,CES,,App Manager,Blad eLogic,VMware,Amazon,Tivoli,xCAT,,,ISF Master Node,P-VMO,Portal,ICM,CES,Blad eLogic,VMware,Citrix,RedHat,Opsware,xCAT,VMware,xCAT,Nagios,,Remote Proxy,VMware,xCAT,Nagios,,Platform Computing, Inc.,The leader in cluster, grid and cloud management software: 17 years of profitable growth 2,000 of the world’s most demanding client organizations 5,000,000 CPUs under management 500 professionals working across 13 global centers Many Strategic relationships including Dell, Intel, Microsoft, Red Hat and SAS,PlatformClusters, Grids, Clouds, WhateverComputing,Platform Product Portfolio,Thank you www.platform.com zfb@platform.com,