1 / 16

The Future of Data Center Networking: Challenges and Innovations in Warehouse-Scale Computing

In this presentation by Ana Radovanovic from Google, we explore the evolution and current trends in data center networking, highlighting significant growth rates in global internet traffic, which range from 34% to 50%. We discuss the transition to Warehouse-Scale Computing (WSC) as the backbone of modern infrastructure, emphasizing the need for innovative solutions to overcome traditional network constraints. With centralized, programmable networking, we aim for improved scalability, efficiency, and fault tolerance to meet the demands of a rapidly changing digital landscape.

boone
Télécharger la présentation

The Future of Data Center Networking: Challenges and Innovations in Warehouse-Scale Computing

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. The Future of Datacenter Networking Presenter: Ana Radovanovic (anaradovanovic@google.com) Google Network Infrastructure Teams

  2. Internet Growth Rates Internet Observatory Report MINT Study CAGR: 50% http://www.dtc.umn.edu/mints/home.php Cisco Study CAGR: 34% http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns827/white_paper_c11-481360_ns827_Networking_Solutions_White_Paper.html CAGR: 44% Global Internet Traffic is growing at 34%-50% year-over-year rate

  3. Internet Topology Evolution Textbook Internet 1995-2007 ~ Internet Today Hierarchical, Tier 1 Focused Content ‘Hyper Giants’:direct connection of content and consumer

  4. Warehouse-Scale Computers (WSC) Consolidated Computing, Many UIs, Many Apps, Many Locations Luiz André Barroso, Urs Hölzle, “The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines”, http://www.morganclaypool.com/doi/abs/10.2200/S00193ED1V01Y200905CAC006?prevSearch=allfield%253A%2528Urs%2529&searchHistoryKey= 12

  5. Warehouse Scale Computer The core of Google’s Infrastructure Warehouse Scale Computer The core of Google’s Infrastructure Warehouse-size Computer

  6. Warehouse Scale Computer -- Overview Server and networking equipment • Collection of servers • Services such as Search execute at a scale far beyond single machines or racks -- require no less than clusters of 100s or 1000s of machines • Machines, Network, and Software all working in concert to provide Internet scale services – the data center isthe computer Cooling towers Generators MW substation

  7. WSC Building Blocks A datacenter contains 1 or more clusters,and has a network and a power topology machine cluster rack: 40-80 machines+ Ethernet switch

  8. Warehouse Scale Computing Characteristics • Relatively homogeneous machine, network and systems software platform • Common systems management layer • Massive Scale, driven by: • User Base (100s of millions of users globally) • Data Set Size and Growth (Search --Web corpus/Youtube -- Video corpus) • Introduction of Novel Features (Instant Search, HD Video) • Efficiency, driven by Scale • This relentless demand for more computing capability makes cost efficiency a primary metric in WSC design

  9. WSC Network Challenges/Constraints Traditional DC networking components systems and protocols impose constraints that are counter to the goals of WSC. New Solutions are required to meet our requirements Fiber-scarce Fiber-rich Ideal Today Available BW Distance Between Compute Elements

  10. Traditional Distributed Control/Management • Difficult to implement and maintain unified configuration and policy • - Many systems, many configurations • - Prone to Human error (a leading cause of outages/unavailability) • Little Service/Application Awareness • Complex, proprietary protocols • - Difficult to change, deters innovation • Proprietary management systems • - Don’t scale themselves • - May not interoperate • Programmability actively discouraged • Scales poorly

  11. Software Controlled Networking • Centralized, ‘Programmable’ network model • Simple to maintain cogent, unified policy, configuration across many and diverse network elements • Service/Application awareness and integration, improved alignment of Biz priorities and resource allocation • Supports rapid innovation • Scales well • Including WSC footprints • Existing solutions • OpenFlow, Onix

  12. Cluster management: what is it? • Each cell has a (replicated) central manager • Each machine has a local agent • Clusters are managed as 1 or more cells Cell manager manager manager agent

  13. Making It All Happen • Physical layer: WDM, SMFand OCS (cheaper!) • Centralized control: • Better network utilization with global picture • Converges faster to target optimum • Allows more control and specifying intent • Can mirror production event streams for testing 10x10G CFP

  14. Making It All Happen Centralized Traffic Engineering Global Admission Control + Bandwidth Allocation CentralizedNetwork Model (real-time network status) Routing Configuration Store BGP/ ISIS OpenFlow Controller Network Stats

  15. Summary • Rise of cloud and content • Scaling and efficiency are the keys • Solutions: • Scale-out • Low cost WDM interconnect and high-radix OCS • Software Controlled Networks

  16. Thank You

More Related