Session DB 3.4. Micro Cloud the modular DC path to IoT. Micro Cloud & Modular DCs for IoT. Session Description: 3/10/2016
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1 Session DB 3.4 Micro Cloud the modular DC path to IoT James Young, Global Segment lead, Enterprise Data Centers 1 Micro Cloud & Modular DCs for IoT Session Description: Expanding or building a new data center comes with inherent risks. Performance, time to build, cost, over-builds and scalability can derail even the best-laid plans. This session will address a different approach for unique, purpose-built technical facilities suited for edge computing, broadband and wireless access networks. A Data Center on Demand (DCoD) approach supports legacy environments and equipment but facilitates extremely high energy efficiencies. This session will present the building blocks approach and the design process that yields power densities from 3-35kW per rack, availability and redundancy considerations, as well as environmental assessment and operational PUE modeling. 2 1
2 Data Center World Certified Vendor Neutral Each presenter is required to certify that their presentation will be vendor-neutral. As an attendee you have a right to enforce this policy of having no sales pitch within a session by alerting the speaker if you feel the session is not being presented in a vendor neutral fashion. If the issue continues to be a problem, please alert Data Center World staff after the session is complete. 3 Capacity = (Never enough) Mobility Social Media Cloud Big Data Internet of Things 4 2
3 With Cloud and Co-Lo on the rise - Why an Edge Data Center? 5 Increasing Capacity The Triangle of Truth Tx over air, copper or fiber. Factors for possible improvement relative to the centralized architecture deployed today. Bell Laboratories, Future X Network 6 3
4 Latency - While the cloud is distributed it is not truly local - Latency is already a major issue for content providers - Hops, congestion and distance = higher RTT* Maximum throughput (b/s) = TCP window size (bits)/rt latency (s) 20ms = >25 Mb/s which will support 4k video for example It s also plainly cheaper to move content closer to the consumer Lower latency enables next generation applications * Round trip time 7 Edge Data Center already make sense A copy of Psy s Gangnam Style video was stored in a carrier hotel in Los Angeles Cox was paying tens of millions of dollars to support the traffic required to serve its subscribers in Phoenix (a tier 2 city) who watched that video 1 Moving to an edge data center and caching the video saved Cox some money. Gangnam Style ++ for viewers and for content providers! All references are cited in the speaker s notes of corresponding slide 8 4
5 What will edge DCs serve? Intelligent Buildings IoT data process control Latency and WAN costs! Regional Connectivity Local business hubs Markets too small for the Big Guys Transport hub (vs Peering) Cloud Extend Access to local business Content Delivery Carriers C RAN Traffic 66X 5yrs C ran limits latency 5μs (20 40Km) 9 Distributed Requirements Points of Presence PoPs On Site Cloud Solution Hosting Data Center Transmission Hubs Internal IT Data Center Deliver a Reliable, Flexible, and Efficient Technology Space Mobile Switch Sites (MTX) DAS Head End Telecom Equipment Room CATV Head End Computer Rooms Industrial Data Processing 10 5
6 Not just Streaming High def Video processing from IoT devices Centralized resources reduce cost/complexity for IoT devices Many bi-directional unicast streams (Mobile Devices) China Mobile - C-RAN framework is limited to 20-40KM 1 11 What Next? High Frequency Trading.24ms VR Gaming 7ms Cloud assisted Driving 10ms Augmented Reality 10ms 4K click to start Video 10 Hi Res cloud gaming 20ms Bell Laboratories, Future X Network 12 6
7 What is an Edge DC? 7.0 Global Micro Data Center Market Very limited information for edge data center definitions and market size In Billion Dollars Micro DCs can be used for edge DCs but edge data centers don t have to be micro Clearly seems to be a growth area however Micro Macro DC DC Market Market Data Source Reports/micro datacenters market 828.html 13 Key Market Drivers 1 End user satisfaction in tier 2, 3 cities Content providers continue improving customer experience by moving content closer to eyeballs while saving costs Caching content locally in a metro with a population of about 1 million can save about $110m in backbone transport costs over 5 years 1 62% of all Internet traffic will cross content delivery networks (CDNs) in 2019, up from 39% in Mobile data exploding Data moving to the edge Global mobile data traffic will grow 10 fold from 2014 to 2019, a CAGR of 57% 2 Global Mobile was 4% of total IP traffic in 2014, and will be 14% of total IP traffic in China's tier 2 and 3 cities mobile internet growth speed surpassed tier one cities for the first time in IoT edge device proliferation Data generated from IoT devices must be processed in real time to preserve the value of the information IoT connected devices will grow to 30B units in 2020 from 5.4B units in IoT market will grow to $8.9B in 2020 from $3.5B in 2014, a CAGR of 17%
8 Edge Data Centers -> Modular A Highly Efficient TECHNOLOGY SPACE host edge equipment Availability targets Operation costs 15 Modular Edge facilities CAPACITY Right sized & fit for purpose COST CapEx, PUE and OpEx CALENDAR Weeks? 16 8
9 Modular Purpose-Built Data Centers CAPEX Standardised design and construction Time to Value/Alignment of CAPEX and Income Lower Architect, Mechanical, Electrical Consultant costs. OPEX Lowest energy cost Robust highly available designs Agility/ Flexibility Build what, where and when required Power density and rack capacity 17 Easy Button 18 9
10 Modular DC Technology 19 Technical Performance Modular 20 10
11 Technical Performance > Internal Cold Aisle Product Cold Aisle Temp Cold Aisle RH CommScop elxs QAM Chassis (~ A4) Cisco 9000 Nexus Switch (~ A3) IBM Lenovo BladeCenter H Server (~ A2) 0C 45C 5% 95% 0C 40C 5% 95% 10C 35C 8% 80% EMC VNX Storage (~ RE/A2, A3) 18C 27C (10C 35C permitted, 5C 40C if <10% annual) 5.5C DP 60% RH & 15C DP (20% 80% permitted, 8% 85% if <10% annual) 21 Technical Performance > Weather Analysis (anywhere?) 22 11
12 Technical Performance > Weather Analysis (Yangon) ASHRAE Recommended (Annual) ppue Water 22.1 m^3/year Chiller hours 7250 ASHRAE A1 (Annual) ppue Water 78.5 m^3/year Chiller hours 245 ASHRAE A2 (Annual) ppue 1.06 Water 0.5 m^3/year Chiller hours 2 23 Edge Data Center Objectives Serve 50% of the broadband eyeballs locally Move the edge of the Internet <20ms latency location matched to business requirements Availability matching business needs Indoor or Outdoor deployment COST EFFECTIVE due to scale Quick and Easy to deploy/scale 24 12
13 Edge Data Center attributes Remote manageability, light out capability Fixtures for 24x7x365 video surveillance (inside and outside) Fire detection and suppression features Biometric and card key authentication for entry Tier 1 3, N+1 data centers? redundant power and links? 3 15kW average per rack? 6kW micro to 30kW, 100kW? Various sizes racks? 25 Edge Data Centers Must adapt to a broad set of business needs but Repeatedly deployed availability matching the need Regional example 30 racks and 350kW 20 Racks and 700kW per Unit CRAN Rack Units, 35kW per Rack 26 13
14 Smaller but high-availability footprints DCU 01 LP 6kW or 10kW 4 L x 4 W x 8 4 H DCU 02 LP 6kW or 10kW 6 L x 6 W x 8 4 H DCU 03 LP 6kW or 10kW 8 L x 6 W x 8 4 H 27 Summary 28 14
15 3 Key Things You Have Learned During this Session 1. Factors driving and shaping the emergence of the Edge DC. 2. Design consideration for Edge DCs. 3. Potential designs for Edge DC facilities. 29 Thank you! James Young Richardson Tx, Singapore 30 15
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