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Nomadic Virtual PC: A user Case for Network and Distributed Cloud
Interworking
Telefónica I+D
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Key messages
Video and cloud computing demands are stressing the network
Core network operation and capacity should be adapted to new services demands
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3 New transport architectures based on E2E MPLS and optical transport will pave the path towards Cross Stratum Optimization and enable new services such as Nomadic Virtual PC
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Core/Metro network
Data center A
Data center B
Data center C
Home users
Enterprises
Access Netwo
rkInter-Data Center
connectivityUse cases: • Content replication• Bulk transfers• Redundancy • Database sync etc.Characteristics:• Flexibility to replicate
content along the network
• Few number of point to point high capacity connections
• Bandwidth variability• Low latency (e.g
database sync)
Intra Data Center connectivityUse cases• DC resource and energy
optimization• Distribute computation jobsCharacteristics• Elasticity to efficiently serve
the computing job demands• Huge number of connections
between servers• Ultra high capacity : “a data
center with 100,000+ servers would require an internal network with 4 Petabits/sec”. Google OFC 2011 “The Emerging Optical Data Center”
Video and cloud services are stressing the whole network
End-User to Data Center connectivity
Use cases:• Access to CDN End Point• Virtual Machines hosted in the
cloud• Corporate Elstic VPNs• IPTV / VoDCharacteristics:• Huge number of connections• Multiservice• Low delay for cloud based
services• Latency requirements for video
based services
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Video and cloud connectivity requirements Capacity: Video traffic increase is driving a CDN based video network architecture “ There is a strong need for high-capacity as well as ultra-long haul unregenerated reach between Datacenters” [Google, OFC 2011 Drivers and Applications of Optical Technologies for Internet Data Center Networks
Elasticity: Cloud traffic demands will have unprecedented bandwidth variability “Variable rate transmission has to be tightly integrated with the packet layer and managed at the system/network level to realize the overall throughput maximization”. [Google, OFC 2011 Drivers and Applications of Optical Technologies for Internet Data Center Networks
QoS: Traffic differentiation over the same infrastructure (video, data, voice, bulk, etc)Service experience in the Virtual Machines hosted in the cloud must be equivalent to the one perceived in a LAN
Virtual Machines deployments vs physical servers
Intra-cloud network bandwidth variability (8 case studies)
Source: Towards predictable datacenter networks, SIGCOMM 2011
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Network operation and capacity should be adapted to new traffic demands
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CDN and cloud enabled networks must support:
…an extensive amount of requests from CDN and cloud data centers while the rest of traffic remains unaffected.
…BW and QoS assurance between end users and CDN/cloud data centers (e.g real time applications, data base sync, etc)
…flexible networking services enabling on demand fast data transfers between CDN/cloud data centers (e.g mirroring, redundancy, etc)
…high capacity and scalability
…costs optimization (data center and network)
…responsiveness to quickly changing demands
…enhanced service resilience (via cooperative recovery techniques between data centers and network)
…QoS enhancement (via better use of existing network and data center )However current core connectivity services do not fulfill most of these
requirements Key requirements for a CDN/CLOUD enabled network
Cost/bitGuaranteed Bandwidth
Guaranteed QoS Range
Flexible BW
Automated operation
Capacity beyond 10 Gbps
Current Core Architecture
Internet (pure IP) €€ NO NO Global YES YES NOStatic IP VPN €€€€ YES NO Global NO NO NOStatic L2 VPN €€€ YES YES MAN NO NO NO
Cloud Enabled NetworkFlexible connectivity services € YES YES Global YES YES YES
Cloud and Video Ready networks will enable flexible connectivity
services specially adapted to CDN and Cloud requirements
Connectivity servicesCore
Architecture
Current Approach: Over-provisioning and static connectivity between Access Nodes and Data Centers
Cloud Ready Network:Flexible connectivity services
(e.g bandwidth variability)
- High cost- Rigidness- Application unaware
- Reduce cost (unused resources)- Flexibility- Application adapted
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Key Technologies behind cloud ready networks
Better transmission technologies will allow increase capacity of existing fiber linksKey Technologies: Subwavelength Switching, elastic optical networks
Photonic Mesh is a real Network: it offers flexibility and scalability using a photonic control plane (like routing in IP networks)Key Technologies: GMPLS (Generalised Multiprotocol Label Switching),Hierarchical PCE (Path Computation Element), E-NNI (External Network to Network Interface)
MPLS, an intermediate IP layer, could be used to unify Transport and Aggregation segments, reducing E2E operation costs. Extension to Access segment will improve even more the network efficiency.Key Technologies: Seamless MPLS, MPLS-TP
Coordination between Optical transport layer and IP layer faces traffic growth in an economically efficient way by better resources usage.Key Technologies: IP offloading, multilayer restoration, multilayer planning
Photonic control plane GMPLS + PCE
Multilayer Coordination
IP/MPLS Network
Routing, montitoring and automated IP configuration
Routing, montitoring and automated Photonic
network configuration
Signalling
PHOTONIC MESH
E2E MPLS
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These network technologies will pave the path towards joint network and cloud optimization by enabling..
Flexible service platform design since service nodes (VM server, IPTV head end, BRAS or even the CDN end/entry points) may be located anywhere in the network.
Automated connectivity between access and service nodes since access nodes will be able to automatically reach any service node (e.g CDN end points, cloud servers, etc) if required, enhancing the network reliability and survivability, and optimizing the traffic distribution.
There exist a standardization initiative within IETF “Cross Stratum Optimization” working on new control plane paradigms for a joint network and cloud optimization
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Example of Use case: The Virtual PC
High stress in the core network high cost
End-user equipment leverages high performance computation and storage capacities of running VMs within a datacenter.
The service:
The rational behind:Simpler terminals (e.g power efficiente mobile devices).VMs run within a datacenter with granted performance and reliability.…
The issues:Massive penetration may entail:
- Network (Bandwidth) bottleneck at the Data Center - Difficulties in bandwith scalability - Multiple network segments involved in each connectivity service - High number of connections through the core - Several service classes in the core…
Data Center
Core network
Access node A
Access Node B
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Example of Use case: The Virtual PC
Core network (MPLS/Burst switching)
AN A
N
AN
Provisioning of VM service• Low delay
• Better bandwidth scalability
• Small packets remain in the access not the core
• A unique service class in the core
• Overspill in the dynamic network ensures service continuity, restoration and data replication
Distributing the data center between the access nodes brings end-user Vs. VM interaction to the network edge, driving to:
A distributed data center makes up a sound business case
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E2E MPLS and photonic transport enable a smooth service deployment from initial centralized approaches towards distributed data centers (e.g colocated with VoD servers)Data Center
AData Center B
E2E MPLS photonic network
Bulk data transfer from DC
A to DC B
Access Node C
Access Node B
Access node A
VM of nomadic user is
transferred to local AN
Example of Use case: The Virtual PC
Access Node D
VM of nomadic user is transferred to
local AN
High network load to access
DC A
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Field trial in Crypus over Primetel network using Intune subwavelength switching technologies among servers and access nodes
www.ist-mains.eu
Example of Use case: The Virtual PC
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In summary
Network architecture should be updated in order to fulfil the requirements in terms of capacity, QoS and elasticity from new video and cloud applications. A combination of E2E MPLS and photonic transport are the most efficient and mature solution available
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E2E MPLS and photonic transport will pave the path towards joint network , CDN and cloud optimization
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A distributed server approach makes up a sound business case for nomadic Virtual PC services
4E2E MPLS photonic networks enable a smooth service deployment