Emerging Architecture for Cloud Computing

Transcription

1 ITU Workshop on Cloud Computing (Tunis, Tunisia, June 2012) Emerging Architecture for Cloud Computing Monique Jeanne Morrow Distinguished Engineer and CTO Asia-Pac Tunis, Tunisia, June 2012

2 My Co-Authors Masum Z. Hasan,Sree Gudreddi, Edgar Magana and Lewis Tucker Cisco CTO Office

3 Remember: Network Factored Cloud? App Tiers in a Typical DC Dept/Customer 1 Dept/Customer 2 DC Branch Branch Internet MAN/WAN/SP Net Web Tier DMZ App Tier Core DB Tier Distribution Aggregation Storage Tier Dept 2 Dept 1 Tiered Network: Storage SAN/NAS Access: App tiers reside here Aggregation, distribution, core (part of app tiers may reside here) DMZ Campus core/man/wan edges App 6 App 1 Access DB 2 SAN DB 1 Outsource to Cloud

4 Generic Data Center and Network Drawing Data Center A Server Hypervisor VM/Server Control Server Subnet/ VLAN 1 Func%onal Servers Server Rack Subnet/ VLAN 2 L2 Aggregator Func%onal Servers Provisioning, Billing, Security, Load Balancing, Monitoring, AudiBng, Logging, and ETC. Data Center Core/ Gateway Customer Edge WAN Edge WAN Network

5 Workloads categorisation (and generalisations) Type of Workload Example Implication Stateful Shopping cart, collaboration services Synchronisation Stateless HTTP (without cookies) No synchronisation required Live Mission-critical ERP, hosted UC&C services Performance, distance, application tolerances Offline Document management, archives - Bursty Voting system, VoD, ticket booking Capacity management Non-bursty Time dependent (predictability) Data analysis Desktop as a Service (during business hours vs. non-business hours) Follow the moon migration Shared Utility hosting (SaaS) - Grid Grand challenge problems derivatives analysis at NAB, SETI Higher utilisation possible requires HPC environments Transactional Billing system Local storage & compute Batch Payroll Storage & compute can be remote <TELSTRA DOCUMENT ID>

6 Putting it All Together: Seamless Cloud Tenant Private Cloud / Intranet Enterprise Users, Departments Cloud Service Consumer Intrane t Seamless Execution and management as if all resources are on Intranet One or more DC Enterprise IT Cloud Service Provider vnic2 OS1 DB1 VM13 Internet / SP Private MAN/WAN Seamless Extension SCL Service Internet / SP Private MAN/ WAN (IP/ MPLS/ Optical) Public / Community Clouds One or more DC Cloud Service Provider #1 vnic5 OS2 App1 VM55 Internet / SP Private MAN/WAN Seamless Cloud: covers Private, Hybrid, Multi-SP Inter-Cloud Cloud Service Provider #K One or more DC Cloud Service Provider #K One or more DC

7 Use case: Distributed Applications on Seamless [Hybrid/Inter] Cloud Example: Hadoop MapReduce Enterprise (onpremises) Load Data in DFS nodes Launch Map/ Reduce Data Block Info (RPC) Cloud Network Get processed Data (HTTP) Get processed Data (HTTP) Cloud Provider s DC

8 Cloud Management Framework Architecture Cloud Service and Resource Management Cloud Abstraction Cloud service interfaces to Cloud Service Consumers à Software :Examples: vcloud Director, Amazon AWS, OpenStack (Cloud Abstraction) Compute, Storage, Network abstraction & Management (config / provisioning / monitoring), Orchestration and Automation à Software Example: NMS/EMS, Orchestrator/ Management Systems, Libvirt API, OpenStack NACI for Inter-Cloud, DQCS Embedded Management, Control in devices à Software and Hardware SP Private MAN/WAN Tenant ß à CSP / Internet Interfaces CSP Cloud Management Framework (CCMF) Cloud Services API Engine Cloud Abstraction Cloud Resource/Service CRUD Realization Layer Compute/VM Physical Compute/Storage/Network Element or Infra Layer Compute/VMM Cloud Service Consumer (User / Admin/ Tool / Program) Cloud Services Layer PaaS Storage Storage IaaS SaaS (Abstract) Cloud Resource Management Compute/VM Storage Network Network Abstraction for Cloud Interfaces (NACI) CCMF/CSP Internal or CSPß à CSP Network Internal Interfaces or Protocols CLI, XML-I, SNMP, etc.) Network SCL

9 Service Class based DQCS RFC 4954 " Application or Service class based " T2CSP: specify service class (such as Multimedia Streaming) when acquiring compute/storage resource " CSP-I/NACI: Realize_QoS (DSCP, BW,, points_in_network) " CSP-CSP " Delegate T2CSP request

10 ITU Y.1541 IPTD: one way Y.1541 defines IP Delay Variation in terms of the difference between the minimum and maximum transmission delays during some time interval. IPTDmin = Minimum IP transmission delay IPTDupper = 99.9% percentile of IP transmission delay IPDV = IPTDupper IPTDmin

11 RFC 4594, Y.1540/1 and other Recommendations Service Class Tolerance to Name Traffic Characteristics Loss Delay Jitter ===============+==============================+======+======+====== Network Variable size packets, mostly Control inelastic short messages, but Low Low Yes traffic can also burst (BGP) Fixed-size small packets, Very Very Very Telephony constant emission rate, Low Low Low inelastic and low-rate flows Signaling Variable size packets, some Low Low Yes what bursty short-lived flows Multimedia Variable size packets, Low Very Conferencing constant transmit interval, - Low Low rate adaptive, reacts to loss Medium Real-Time RTP/UDP streams, inelastic, Low Very Low Interactive mostly variable rate Low Multimedia Variable size packets, Low - Medium Yes Streaming elastic with variable rate Medium Broadcast Constant and variable rate, Very Medium Low Video inelastic, non-bursty flows Low Low-Latency Variable rate, bursty short- Low Low - Yes Data lived elastic flows Medium OAM Variable size packets, Low Medium Yes elastic & inelastic flows High-Throughput Variable rate, bursty long- Low Medium Yes Data lived elastic flows - High Standard A bit of everything Not Specified Low-Priority Non-real-time and elastic High High Yes Data ITU Y.1540/1 Class 3 Class 0 Class 3 Class 0 Class 0 Class 4 Class 1 Class 3 Class 4 Class 4 Class 5 Class 5 IPLR/IPTD/IPDV Loss/Delay/Jitter Ignore IPER (BER) Class 0:.001/100ms/50ms Class 1:.001/400ms/50ms Class 2.001/100/U Class 3:.001/400ms/U Class 4:.001/1s/U Class 5: U/U/U Other recommendations: Streaming video: Loss: 2% (2 loss every 100) Delay: 5s Jitter: Unspecified Video Conferencing: Loss: 1% (1 loss every 100) Delay: One-way 200ms Jitter: Average 30ms Bandwidth: Extra 20% for burst Voice: Loss: <=1% Delay: One-way 200ms Jitter: Average 30ms Bandwidth per call: kbps based on sampling rate, codec, frame/packet overhead

12 Conclusions and Recommendations " Now looking at offering Differentiated Cloud Services " Inter-Cloud and so called Federated Constructs now " Prototyping Service capabilities in progress " Cloud Standards Activities very active