Don t Run out of Power: Use Smart Grid and Cloud Technology Bruce Naegel Sr. Product Manager Symantec Corp.
Presentation Overview Overview of IT Power Challenges SMART Grid as Part of the Solution Cloud based Architectures Software and Hardware Combined ROI Model Entry Points / Elements
Power Challenges Increasing cost of power EPA indicates servers will double from 2006-2011 Up to $7.54 Billion in IT power costs Rates assumed to grow at 10% per year Power as the second highest operational expense
Your Data Center Running Out of Power Individual data centers can run out of power 3 seen in Ohio region 2 years ago, India and power and diesel fuel costs Cost of $25M to bring in 1 MW of power Limits in individual data center space and cooling Use power monitoring to manage your power usage Early signs (overheated junction boxes)
Smart Grid and Clouds Each will help the power situation Each add or leverage existing approaches Each has methods that can be done both internally and via external vendors
Smart Grids
Smart Grid Origin and Function Electricity demands grow over time Use infrastructure wisely, more power distribution on the existing network San Diego study shows proposed benefits http://www.sandiego.edu/epic/publications/doc uments/061017_sdsgstudyes_final.pdf Includes the following More granular power measurements Feedback on usage and possible control Control of power device usage (optimize time Take power back from other sources (e.g. Solar)
Smart Grid Utility Based and IT Based Utility based deployment occurring in certain parts of the country Emphasis in this presentation on IT based solutions Use IT tools for measuring usage Use IT tools to manage power usage
Utility Supplied Smart Meters Smart meter basis for Smart Grid Smart meter has digital readout no spinning disk Provides data back to utility (outages) Data to individual customer (e.g. PGE Smart Grid)
User Supplied Smart Meters User supplied < $300 each. Wireless connection to power meter Short & long term measurements Connections to software like Holm Useful for IT as well
IT / Corporate Equivalent to Smart Meters Software from various companies allows measurement at levels in the company Total input to site Internal Transformers Power Junction box PDU / LAN connected AC /heating units Measure as events happen (stored info)
First Level Building Analysis
Specific Circuit
Time / Min / Max Studies
Integrating Information into Operations Optimize time when applications are run Optimize HW placement in datacenter Use the aisles where you still have power Optimize power usage by application Plan for how to add applications Tie into overall equipment database
Equipment Inventory Software Log in the equipment Type, Power, S/N Date, useful life Show placement (Row/ Rack) Change as required (Row power budget) Turn off what is not in use When to End of Life Equipment Services /software for EOL Equipment
Using IPMI to Control Power Challenge Site in Pune India low on hydropower (late monsoon) Rolling blackouts and diesel fuel expense Solution Software tied to IPMI ports to turn off unneeded servers and storage Measureable savings in diesel fuel Storage evolving with IPMI connections
Power Measurements for ROI Separating data center, cooling / power distribution, and the rest of building First order and refined approaches Assume PUE of 2 to 3 if you cannot measure Using Name plate and actual data Circuit level measurements Power vs. time of day and rates ROI of NOT running out of power
Savings in Capital with an Internal Smart Grid Assume IT is accountable for Power $ Delay cost of new power infrastructure $25 M to bring in 1 MW of power Delay cost of new HVAC equipment Delay cost of new data center (cost of capital, etc). Power savings vs. monitoring cost Cost of delaying IT deployments
Utility Smart Grid Storage Requirements IT requirements for an effective smart grid Security requirements Data storage requirements can grow to petabytes Power efficient IT techniques listed in cloud section
Cloud Technology
Internal and External Clouds Internal Cloud Efficient infrastructure that can grow /shrink Virtualized servers Virtualized storage Correct assignment of SLA to storage (tiering / thin provisioning.) Deduplication External cloud Move application outside
Internal Cloud Virtual server infrastructure Virtual Storage infrastructure Storage optimized for capacity (and power) Provisions SOA based connection to resources Should be elastic. (Required 80% of the time)
Approaches to Reducing Internal Cloud Power Consumption Make power and cooling more effective New data center (may actually increase consumption) PUE and making applications more efficient Virtualized Storage and Servers Efficient clustering Storage tiering and migration Thin provisioning End point /server power management Hardware and software combined. (Thin Provisioning, Storage Tiering, Appliances)
ROI calculations Deduplication and Backup Reduction to 1 in10 of previous capacity (reduce power to 1 in 10 to 1 in 50) Thin Provisioning Depends on disk subsystem and ability of software to recover Storage Tiering Tier 1 (RAID 1) to Tier 2 RAID 5 (1 to 8) Tier 2 to Tier 3 MAID (1 to 8)
ROI Calculations Clustering N+1 clustering 6 clusters = 12 servers N+1 = 7 servers, 5/12 power savings Virtualization Support Applications get virtualized if virtualized service levels are robust enough Savings of a virtualized vs. non virtualized for an application Appliances deliver software for easier deployment
External Cloud Usage Factors Software as a Service 34% Software/Servers Infrastructure 21% Includes backup and archiving Platform (Web based) 16% Data as a service 16% Not using or considering 54%
Business Technology Factors Integration with current applications 73% Cost of Hardware and software 69% Data Loss Potential 60% Business Continuity 59% Customer Privacy 58% Proprietary Data consideration 37% Cost of IT staff time 31%
Criteria for moving to external cloud Choose what should and should not be on an external cloud Data Loss Protection software Basic data classification Performance and resilience requirements Encryption Requirements Deduplication WAN optimization Start with internal cloud first
What to move to external Cloud Use the cloud as a storage tier Use cloud for backup and replication Use cloud for less private data Use cloud as a way to replicate external to your site Use for applications available outside DLP and other tools to determine what to send to cloud Power considerations
Choosing a Cloud Vendor Cost of internal vs. external support Cloud provider s guaranteed uptime Cloud provider s privacy methods Cloud provider applications supported (e.g. Backup application) Cloud provider s energy efficiency and source Standards compliance (to allow switching vendors)
Preparing to move the data Cloud Gateways to manage transfer DLP (Data Loss protection) classification Encrypt data as first level of privacy Deduplication and order of Deduplicate /encrypt WAN optimization software /hardware Standards based Cloud interfaces http://cloud-standards.org (DTMF/SNIA) CDMI (Cloud Data Management Interface)
Cloud monitoring Monitor the SLA supported Data availability Response time Application acceptability
Cloud Power Considerations External moves much of the power consumed external to company PUE of most cloud suppliers in the 1.2 range, corporate is in the 2-3 range Assume PUE = 2.4, cut power in ½ for services moved Greenpeace cloud comments
Conclusion Smart Grid technology inside the data center / building will help monitor usage and drive best practices Internal cloud can provide extensible infrastructure for certain apps External cloud extends that as available All properly used can reduce power consumption
Thank You for your participation Bruce_Naegel@Symantec.com