VPS provides a Software Defined Power solution using intelligent batteries and software to optimize power distribution in data centers. This allows data centers to increase power utilization from 20-60% to over 90% by peak shaving and dynamically allocating power budgets. It can generate 20-50% additional revenue and defer $10-15M/MW in CapEx and $1M/MW/yr in OpEx. The solution is deployed non-disruptively using VPS hardware and software to monitor and control power distribution.
Smart energy is a trending concept in a field crowded with competing and complementary terms, technologies, and approaches – but has the business case yet been made? Andy Lawrence will share his views on where this technology segment is headed.
GE Critical Power’s new GP100 Power Supply: Balanced Power. Unparalleled Density. 3-Phase Power. 1RU.
Does energy use in your data center keep you up at night? It should.
Your customers rely on you to keep networks flowing and transactions moving 24 hours a day, seven days a week, 365 days a year. Your data center can’t afford not to be highly reliable and energy efficient. It’s a tall order. And one we don’t take lightly.
Never Balance a Load Again. At GE Critical Power, we understand the issues your data center faces. Chief among these is the burden of balancing the load on the AC grid. Not only does this require a vast amount of resources, but it can add operational costs and the need for additional equipment. Enter the GP100, an innovative new technology that powers the future success of mission critical data centers, telecommunications and supercomputing industries by eliminating single-phase balancing issues and ensuring electrical phases grow in equal increments.
More Power. Less Space. GP100 is also extremely compact: four times smaller than competing products on the market today.
The most efficient, most compact, and first 3-Phase 1RU Power Supply for 19" Rack Mount Applications Ever Created. Great Power, Great Performance, Great Innovation, Great Reliability and Great Value. All from the engineers and experienced design teams at GE Critical Power.
Maximize Your Data Center for Virtualization InitiativesSchneider Electric
Presentation focuses on the impact virtualization initiatives have on the data center and more importantly the critical
physical infrastructure supporting the data center. Virtualization is an IT strategy that can easily and quickly impact, with potential negative consequences, the reliability and availability of the data center. Understand the effects and some considerations in the implementation of virtualization.
Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...Schneider Electric
IT virtualization, the engine behind cloud computing, can have significant consequences on the data center physical infrastructure (DCPI). Higher power densities that often result can challenge the cooling capabilities of an existing system. Reduced overall energy consumption that typically results from physical server consolidation may actually worsen the data center’s power usage effectiveness (PUE). Dynamic loads that vary in time and location may heighten the risk of downtime if rack-level power and cooling health are not understood and considered. Finally, the fault-tolerant nature of a highly virtualized environment could raise questions about the level of redundancy required in the physical infrastructure. These particular effects of virtualization are discussed and possible solutions or methods for dealing with them are offered.
Improving your PUE while consolidating into an existing live data centerSchneider Electric
While there are multiple consolidation options to consider, upgrading an existing data center has a significantly lower capital investment, requires no new real estate acquisition, can be phased to match IT refresh cycles and IT virtualization, and can be done while the data center is live. This session explores these considerations which are particularly important in the Federal space as well as a high density POD overlay discussion and approaches to reducing PUE.
[Case study] Dakota Electric Association: Solutions to streamline GIS, design...Schneider Electric
Applications:
Integration of GIS-based processes makes existing circuits and proposed circuits
available in the same system so operations staff can work in parallel with the designers
rather than in succession.
Customer benefits
• Model, design and manage critical infrastructure
• Highly configurable
• Easily adapted for multiple uses
• Proactively identify needed repairs and replacements well in advance
Power Strategies for Data Center Efficiency – Identifying Cost Reduction Opportunities
In a survey conducted by the Uptime Institute, enterprise data center managers responded that 42% of them expected to run out of power capacity within 12-24 months and another 23% claimed that they would run out of power capacity in 24-60 months. Greater attention to energy efficiency and consumption is critical.
To view the recorded webinar presentation, please visit http://www.42u.com/power-strategies-webinar.htm
Smart energy is a trending concept in a field crowded with competing and complementary terms, technologies, and approaches – but has the business case yet been made? Andy Lawrence will share his views on where this technology segment is headed.
GE Critical Power’s new GP100 Power Supply: Balanced Power. Unparalleled Density. 3-Phase Power. 1RU.
Does energy use in your data center keep you up at night? It should.
Your customers rely on you to keep networks flowing and transactions moving 24 hours a day, seven days a week, 365 days a year. Your data center can’t afford not to be highly reliable and energy efficient. It’s a tall order. And one we don’t take lightly.
Never Balance a Load Again. At GE Critical Power, we understand the issues your data center faces. Chief among these is the burden of balancing the load on the AC grid. Not only does this require a vast amount of resources, but it can add operational costs and the need for additional equipment. Enter the GP100, an innovative new technology that powers the future success of mission critical data centers, telecommunications and supercomputing industries by eliminating single-phase balancing issues and ensuring electrical phases grow in equal increments.
More Power. Less Space. GP100 is also extremely compact: four times smaller than competing products on the market today.
The most efficient, most compact, and first 3-Phase 1RU Power Supply for 19" Rack Mount Applications Ever Created. Great Power, Great Performance, Great Innovation, Great Reliability and Great Value. All from the engineers and experienced design teams at GE Critical Power.
Maximize Your Data Center for Virtualization InitiativesSchneider Electric
Presentation focuses on the impact virtualization initiatives have on the data center and more importantly the critical
physical infrastructure supporting the data center. Virtualization is an IT strategy that can easily and quickly impact, with potential negative consequences, the reliability and availability of the data center. Understand the effects and some considerations in the implementation of virtualization.
Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...Schneider Electric
IT virtualization, the engine behind cloud computing, can have significant consequences on the data center physical infrastructure (DCPI). Higher power densities that often result can challenge the cooling capabilities of an existing system. Reduced overall energy consumption that typically results from physical server consolidation may actually worsen the data center’s power usage effectiveness (PUE). Dynamic loads that vary in time and location may heighten the risk of downtime if rack-level power and cooling health are not understood and considered. Finally, the fault-tolerant nature of a highly virtualized environment could raise questions about the level of redundancy required in the physical infrastructure. These particular effects of virtualization are discussed and possible solutions or methods for dealing with them are offered.
Improving your PUE while consolidating into an existing live data centerSchneider Electric
While there are multiple consolidation options to consider, upgrading an existing data center has a significantly lower capital investment, requires no new real estate acquisition, can be phased to match IT refresh cycles and IT virtualization, and can be done while the data center is live. This session explores these considerations which are particularly important in the Federal space as well as a high density POD overlay discussion and approaches to reducing PUE.
[Case study] Dakota Electric Association: Solutions to streamline GIS, design...Schneider Electric
Applications:
Integration of GIS-based processes makes existing circuits and proposed circuits
available in the same system so operations staff can work in parallel with the designers
rather than in succession.
Customer benefits
• Model, design and manage critical infrastructure
• Highly configurable
• Easily adapted for multiple uses
• Proactively identify needed repairs and replacements well in advance
Power Strategies for Data Center Efficiency – Identifying Cost Reduction Opportunities
In a survey conducted by the Uptime Institute, enterprise data center managers responded that 42% of them expected to run out of power capacity within 12-24 months and another 23% claimed that they would run out of power capacity in 24-60 months. Greater attention to energy efficiency and consumption is critical.
To view the recorded webinar presentation, please visit http://www.42u.com/power-strategies-webinar.htm
There are many factors in the data center that are driving the new data center design considerations. This slideshare discusses several of the trends in the data center and covers several solutions to implement.
The Schneider Electric underground self-healing solution can restore power to healthy areas of a distribution network in under 30 seconds. Our self-healing innovation improves re-energisation time and availability by independently isolating faults and swiftly restoring service to those areas of the grid directly unaffected. This decentralized solution is based on an off-the-shelf product, the Schneider Electric Easergy T200 substation control unit which establishes peer-to-peer communication over an IP network.
Data center power and cooling infrastructure worldwide wastes more than 60,000,000 megawatt-hours per year of electricity that does no useful work powering IT equipment. This represents an enormous financial burden on industry, and is a significant public policy environmental issue. This paper describes the principles of a new, commercially available data center
architecture that can be implemented today to dramatically improve the electrical efficiency of data centers.
The combination of Cisco's UCS Manager and Schneider Electric's DCIM solution provides Cisco UCS customers with an opportunity to bridge the gap between IT and Facilities, offer transparency across the two silos, and positively impact the rest of the organization – both in terms of efficiency, uptime and capex/opex costs. This is achieved by optimising the existing physical infrastructure capacities, thus reducing overprovisioning and improving the balance between supply and demand, resulting in continual availability and optimal energy efficiency.
Data Center Power Infrastructure, Data Center Power Infrastructure explained, how is power distributed in the data center, what is the use of the generator in the data center
EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...Spiceworks
Power infrastructure is no longer a standalone item in your IT toolkit. Virtualization, connectivity and the cloud are having a profound impact on how power management is being integrated into the IT environment. Join Eaton to learn more about how these trends are shaping the future of power protection.
More and more, as utilities face decreasing margin between system load and system capacity, they are in need of innovative smart grid solutions that can help them effectively disperse and store energy and manage load to meet resource requirements. Many are incorporating Distributed Energy Resources (DERs) to help fill the gap while, at the same time, meet requirements for reduced emissions and energy independence; these utilities will require the capability to accurately forecast and control DER contribution to the network, to assure security and grid reliability.
Advanced smart grid software designed to support DER management and optimize grid operations and planning works with a real-time network model, based on an accurate geodatabase and incorporating data from operational systems such as a supervisory control and data acquisition (SCADA) system and outage management system (OMS). Along with real-time visualization and monitoring of network status, this Advanced Distribution Management System – ADMS – provides a host of analytical tools that recommend the most optimal device operations, or optionally automate device operations, to maximize network efficiency and reliability. For example, the utility can apply Volt/VAR control to reduce feeder voltage automatically with no effect on the consumer. Detailed load profiling and load forecasting based on integrated weather feeds yield network load forecasting for effective renewables integration. Network simulation helps forecast medium-term and long-term load and supports effective development and planning.
ADMS functionality and tools are demonstrating that utilities can effectively manage demand without building large-scale generation.
Do you think how big companies like google, facebook , adobe, ...etc, are store millians of data and also how they secure all those data. Please watch to know all these actual reality.
Presentation from Networkshop46.
Brunel’s experience of designing networks and systems to use the Jisc shared data centre - by Simon Furber, Brunel University
Developing an internal business case, and the associated benefits and savings, to support use of the Jisc shared datacentre - by Mike Cope, UCL
Hyper convergence - our journey to the future - George Ford, University of Creative Arts
Understanding Power Redundancy Levels in Data CentersMDC Data Centers
Redundancy is a critical factor when choosing a Data Center provider because it directly affects the level of systems availability. There are several power components in a Data Center, and every one of them is a point of failure, which can incur significant financial and data losses for your company.
Get to know more about levels of redundancy and choose what's best for your business.
Open Compute has had a revolutionary impact on data center design ,offering many simplicity and cost saving benefits. To become more mainstream, we believe critical questions need to be answered about the implications of OCP on the upstream power infrastructure. Can data centers still achieve Tier 3 redundancy? How do I support traditional and OCP loads in the same data center? This presentation will address these and other questions, and propose a series of simplified architectures to support OCP. We will discuss redundancy, availability, and flexibility implications, as well as present a cost analysis. Schneider Electric embraces the spirit of OCP by openly sharing this analysis and making these simplified reference designs freely available
There are many factors in the data center that are driving the new data center design considerations. This slideshare discusses several of the trends in the data center and covers several solutions to implement.
The Schneider Electric underground self-healing solution can restore power to healthy areas of a distribution network in under 30 seconds. Our self-healing innovation improves re-energisation time and availability by independently isolating faults and swiftly restoring service to those areas of the grid directly unaffected. This decentralized solution is based on an off-the-shelf product, the Schneider Electric Easergy T200 substation control unit which establishes peer-to-peer communication over an IP network.
Data center power and cooling infrastructure worldwide wastes more than 60,000,000 megawatt-hours per year of electricity that does no useful work powering IT equipment. This represents an enormous financial burden on industry, and is a significant public policy environmental issue. This paper describes the principles of a new, commercially available data center
architecture that can be implemented today to dramatically improve the electrical efficiency of data centers.
The combination of Cisco's UCS Manager and Schneider Electric's DCIM solution provides Cisco UCS customers with an opportunity to bridge the gap between IT and Facilities, offer transparency across the two silos, and positively impact the rest of the organization – both in terms of efficiency, uptime and capex/opex costs. This is achieved by optimising the existing physical infrastructure capacities, thus reducing overprovisioning and improving the balance between supply and demand, resulting in continual availability and optimal energy efficiency.
Data Center Power Infrastructure, Data Center Power Infrastructure explained, how is power distributed in the data center, what is the use of the generator in the data center
EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...Spiceworks
Power infrastructure is no longer a standalone item in your IT toolkit. Virtualization, connectivity and the cloud are having a profound impact on how power management is being integrated into the IT environment. Join Eaton to learn more about how these trends are shaping the future of power protection.
More and more, as utilities face decreasing margin between system load and system capacity, they are in need of innovative smart grid solutions that can help them effectively disperse and store energy and manage load to meet resource requirements. Many are incorporating Distributed Energy Resources (DERs) to help fill the gap while, at the same time, meet requirements for reduced emissions and energy independence; these utilities will require the capability to accurately forecast and control DER contribution to the network, to assure security and grid reliability.
Advanced smart grid software designed to support DER management and optimize grid operations and planning works with a real-time network model, based on an accurate geodatabase and incorporating data from operational systems such as a supervisory control and data acquisition (SCADA) system and outage management system (OMS). Along with real-time visualization and monitoring of network status, this Advanced Distribution Management System – ADMS – provides a host of analytical tools that recommend the most optimal device operations, or optionally automate device operations, to maximize network efficiency and reliability. For example, the utility can apply Volt/VAR control to reduce feeder voltage automatically with no effect on the consumer. Detailed load profiling and load forecasting based on integrated weather feeds yield network load forecasting for effective renewables integration. Network simulation helps forecast medium-term and long-term load and supports effective development and planning.
ADMS functionality and tools are demonstrating that utilities can effectively manage demand without building large-scale generation.
Do you think how big companies like google, facebook , adobe, ...etc, are store millians of data and also how they secure all those data. Please watch to know all these actual reality.
Presentation from Networkshop46.
Brunel’s experience of designing networks and systems to use the Jisc shared data centre - by Simon Furber, Brunel University
Developing an internal business case, and the associated benefits and savings, to support use of the Jisc shared datacentre - by Mike Cope, UCL
Hyper convergence - our journey to the future - George Ford, University of Creative Arts
Understanding Power Redundancy Levels in Data CentersMDC Data Centers
Redundancy is a critical factor when choosing a Data Center provider because it directly affects the level of systems availability. There are several power components in a Data Center, and every one of them is a point of failure, which can incur significant financial and data losses for your company.
Get to know more about levels of redundancy and choose what's best for your business.
Open Compute has had a revolutionary impact on data center design ,offering many simplicity and cost saving benefits. To become more mainstream, we believe critical questions need to be answered about the implications of OCP on the upstream power infrastructure. Can data centers still achieve Tier 3 redundancy? How do I support traditional and OCP loads in the same data center? This presentation will address these and other questions, and propose a series of simplified architectures to support OCP. We will discuss redundancy, availability, and flexibility implications, as well as present a cost analysis. Schneider Electric embraces the spirit of OCP by openly sharing this analysis and making these simplified reference designs freely available
PAC 2.5 Efficiency is Attainable, What are you Waiting for?SchneiderITB
This presentation covers ways to increase data center efficiency. From what we consider the basics to more advanced techniques and then through services that are available. Many of these are covered through individual white papers and presentations but we wanted to bring these topics together under one presentation.
Proactively Managing Your Data Center Infrastructurekimotte
Attached is the presentation from our Proactively Manage Data Center Infrastructure Webinar - to view the webinar with audio, go here:http://blog.eecnet.com/proactive-manage-data-center/
Overcoming Rack Power Limits with Virtual Power Systems Dynamic Redundancy an...Steve Houck
Summary
This paper describes how SourceMix, a dynamic redundancy technology from VPS, allows Intel® Rack Scale Design (Intel® RSD) customers to take full advantage of system composability and module upgradeability by extending the existing data center power infrastructure.
Sklubi AlumniWeekend 23.10.2010:
Reijo Maihaniemi
Electricity Consumption: General
Electricity Savings Through DC Power Feed
DC Data Center Projects in the World
ICT Energy saving actions
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
2. Stranded Power
40 to 80%
Low Power
Utilization
- 20 to 60%
Peaks & buffers Redundancies &
Backups
Power infrastructure – Expensive & Low utilization
Static power budgets CapEx: $6 - $12 Mill/ MW
OpEx: $0.5 - $1 Mill/ MW/ Yr
Revenue: $1 – 3 Mill/ MW/ Yr
3. ⌁ Intelligent battery, power relays
⌁ Implement software policy
VPS provides Software Defined Power® (SDP)
S/W Power control plane H/W hooks to S/W+
⌁ Collect, aggregate power use data
⌁ Optimize power distribution with
predictive analytics
Like S/W defined compute - Pool, dynamically optimize and allocate resources
4. ⌁ Generate 20-50% additional revenue
⌁ Defer $10-15M/MW CapEx, Avoid $1M/MW/Yr OpEx
⌁ Resell SDP to customer Customer optimizes distribution Recurring revenue
How does SDP benefit your data center?
5. FACILITY
ENDOFROWATFACILITY
ORWHITESPACE
WHITE SPACE (IT GEAR)
VPS Solution: Non-Disruptive, Seamless Deploy
Intelligent Batteries
3RD PARTY
H/W
• Deploy in brownfield data centers – with no change or disruption to existing power infrastructure
• Deploy in greenfield data centers – with fewer power components and redundancies
7. With ICE
Batteries Peak Shave > Unlock Power reserved for peaks
Without ICE
Provisioning for Peak > Low Power Utilization
UPS Container with 4 Racks + HVAC
ICE Software collects Power Data across your Data Center
1.Sets Control Limits of Utility power
2. Battery provides balance power
3. Under a 5% State of Charge Discharge Limit configured
VPS ICE S/W performing peak shaving
Battery shaves peaks Utility serves base line load customer can stack more
IT Racks or workload in existing power footprint
8. • Software configurable redundancy at rack level
• Maintains High Availability for Mission critical racks (or servers)
2N
Dual Corded Rack
10 kW
10 kW 10 kW
50% power is locked in redundancy
Traditional 2N environment
Mission Critical
Rack
(99.984%)
10 kW
10 kW 10 kW
100% power utilization with dynamic redundancy
2N environment with ICE Dynamic
Redundancy
Less Critical Rack
(99.95%)
10 kW
• Say Green Line Fails. ICE
ensures power on Yellow line
to higher priority rack
• ICE will switch off power to
the yellow on 1N rack in 4
milli seconds as the absolute
last resort. It measures real-
time power and takes no
action
• if total draw total is less
than 10KW
• If battery is available to
ridethrough
• If power draw can be
reduced thru lowered
CPU frequency by ICE
policy based on actual
power deficit in real time
• But after performing safe shut
downs, alerts, Vmotion, back
ups and other relevant actions
ICE Switch ICE Switch
VPS ICE S/W performing Dynamic redundancy
9. Dynamic Policy-based Orchestration
Predictive Provisioning
Power Variability Management
Power Availability Control
Resiliency-aware RSD Provisioning
Hardware
and
Software
Control
Systems
Mechanisms
Orchestrating
HW and SW
Control
Systems
Customer
Value
Proposition
Platform
Value-added
Capabilities
DCMServers
POD
Manager
Data Center
Mgt
VPS SDP exposed as API for easy integration data center systems
10. Customer Benefits: Economics
USE CASE Existing Facility
Current 2MW Data Center has no Power Available, Needs to add 1 MW
WITHOUT ICE: Build 1MW of Additional Facility WITH ICE: ICE Increases Power within existing footprint
$10 M Additional Facility CapEx
$1.0 M Additional Maintenance OpEx per year
Saves Facility CapEx spend $6 M (net of $4M VPS Cost)
Saves $0.75M / Year in OpEx (net of $0.25 M in VPS Cost)
GRID
GENERATOR
X-
FORMER
DISTRIBUTION
COOLING
SYSTEM
UPS
IT
IT
IT
IT
ICE
ICE
SG
4 Year Savings = $9.0 M/MW Average Per Server saving
$1,750
(@200 W servers, 5000 servers/MW $9,000,000/5,000=
$1,750)
11. Customer Benefits: Economics
USE CASE Existing Facility
Current 2MW Data Center has no Power Available, Need to add 1 MW for new customer
WITHOUT ICE: Build 1MW of Additional Facility WITH ICE: ICE Increases Power within existing footprint
$10 M Additional Facility CapEx
$1.0 M Additional Maintenance OpEx per year
Saves Facility CapEx spend $6 M (net of $4M VPS Cost)
Saves $0.75M / Year in OpEx (net of $0.25 M in VPS Cost)
GRID
GENERATOR
X-
FORMER
DISTRIBUTION
COOLING
SYSTEM
UPS
IT
IT
IT
IT
ICE
ICE
SG
4 Year TCO deferred = $9.0 M/MW
+ Additional revenue in 4 years = $4 to 8 Million
12. Customer Benefits: Economics
USE CASE
New Facility
Build 1 MW
WITHOUT ICE: New Facility WITH ICE: ICE Increases Power within existing footprint
$10 M Facility CapEx
$1.0 M Maintenance OpEx per year
Saves Facility CapEx* spend ($3.4 M, net of VPS Cost)
Saves $0.2 M / Year in OpEx
GRID
GENERATOR
DISTRIBUTION
COOLING
SYSTEM
IT
ICE
ICESG
* Build 0.6 MW instead of 1MW at a cost of $11 M per MW= $6.6 M
For the 0.6 MW footprint – ICE $3.0 M; other Power & Cooling $3.6 M
13. Thank You
Virtual Power Systems, Inc
4699 Old Ironsides Drive, Suite 100
Santa Clara, CA
www.virtualpowersystems.com
14. The VPS ICE Solution Software Power Control Plane
Pool Power Sources
Optimize Power Distribution
Automatically Allocate Power Budgets
ICE Hardware Battery & Power Conversion
ICE Switches & Sensors
3rd Party Power Hardware IT
Management Systems
Learn Power Distribution
Remote Monitoring & Automated Control
ICE CLOUD &
REMOTE
SERVICES
ICE
APPLICATIONS
ICE OPERATING
SYSTEM
POWER
HARDWARE
SENSORS & CONTROLS
IT SYSTEMS
ICE Reference Designs Licensee Manufactured
Connect, Communicate, Control, Persist Data and
Provide API Interface for Applications and Devices
15. ICE Use cases
1. Added capacity at near Tier 3 availability
2. Tier 2 data centers offering higher availability at rack or row/room levels
• Greenfield next generation data centers
• Brownfield expansion to new whitespace
3. Policy implementation Executing optimized power distribution decisions
4. Added capacity in paired data centers at flexible levels of availability
5. Data center consolidationTapping into unused redundant power
16. Use Case 1: Added capacity at near Tier 3 availability
Before ICE: Max
utilization 45%
After ICE: Max
utilization 90%
17. Use Case 2: Tier 2 data
center offering higher
availability at
Room/Rack/Rack PDU
outlet
(Brownfield)
DC Source augmenting AC powerTraditional Tier 2 power distribution
Design features:
• Augmented DC power supply
• Decentralized UPS
• Decentralized smart Switch for
redundancy, source favoring, policy
executions
• Software managed hardware
• Scales with the racks / rows
(rightsized expansion)
NOTE: This design assumes specialized
rack design. Concept can be
implemented for standard racks, with
minor re-design.
18. DC Source augmenting AC powerTraditional Tier 2 power distribution
Tier 3 SLA whitespace
added in a Tier 2 data
center, with DC power
augmentation
Use Case 2: Tier 2 data
center offering higher
availability at
Room/Rack/Rack PDU
outlet
(Greenfield)
19. DC1
2N
50% load
DC2
2N
50% load
TODAY
Paired Data Centers
Normal Operations
DC1
2N
0% load
DC2
2N
50% load
Paired Data Centers
Failure Scenario
X
DC1
2N
50%
load
WithICE
Paired Data Centers
Normal Operations
Paired Data Centers
Failure Scenario with Dynamic Redundancy Only in double failure,
paired Data Centers will
lose 1N load
1N
50%
load
DC2
2N
50%
load
1N
50%
load
DC1
2N
50%
load
1N
50%
load
DC2
2N
50%
load
1N
50%
load
+ +
X
DC2
2N
50%
load
1N
50%
loadX
Utilization can be 100% (doubled)
with Dynamic Redundancy
1N Availability is higher in paired
Data Centers, due to pairing
Use case 4: Added capacity in paired data centers at flexible levels of availability
20. TODAYWithICE
Use case 5: Data center consolidation Tapping unused redundant power
DC
2N
50% load
Power locked in for
extended period of
time
2N
50% load Migration
or expansion
to a new
whitespace
Loc1 Loc2
DC
1N
50% load
2N
50% load Migration
or expansion
to a new
whitespace
Loc1 Loc2
Pre migration: Uses
redundant power in Loc2
DC
2N
50% load
1N
50% load Migration
or expansion
to a new
whitespace
Loc1 Loc2
Post migration: Uses
redundant power in Loc1
End of Row Peak Shaving and Dynamic Redundancy is depicted in the Single Line Diagram Form. The blue box shows peak shaving equipment with stored energy in the form of batteries or other power sources can be used to manage the load of ether the A or B power system. When redundant capacity is being used in normal operations and a system transfers from 2N to 1N the peak shaving equipment selects the remaining source and shares the load to maintain UPS loads at normal levels while the necessary amount of redundant load is shed using various techniques. The red star is the additional load with a slightly lower availability that in the case of 1N operation is reduced to manage the load on the UPS for long term stability.
The End of Row ICE Blocks are placed in a panel, which can inject power in a parallel configuration. Parallel configuration means that the entire battery capacity can be used for Peak Shaving. Two Master devices are used, one primary and the other backup in case primary fails. Rest are slave units, used for supplying power instead of control logic.
ICE Switch is placed in each rack, the new 1N racks which use redundant power will require ICE Switch for sure.
End of Row Peak Shaving and Dynamic Redundancy is depicted in the Single Line Diagram Form. The blue box shows peak shaving equipment with stored energy in the form of batteries or other power sources can be used to manage the load of ether the A or B power system. When redundant capacity is being used in normal operations and a system transfers from 2N to 1N the peak shaving equipment selects the remaining source and shares the load to maintain UPS loads at normal levels while the necessary amount of redundant load is shed using various techniques. The red star is the additional load with a slightly lower availability that in the case of 1N operation is reduced to manage the load on the UPS for long term stability.
The End of Row ICE Blocks are placed in a panel, which can inject power in a parallel configuration. Parallel configuration means that the entire battery capacity can be used for Peak Shaving. Two Master devices are used, one primary and the other backup in case primary fails. Rest are slave units, used for supplying power instead of control logic.
ICE Switch is placed in each rack, the new 1N racks which use redundant power will require ICE Switch for sure.
This is an example of a power system that offers several advantages in a data center with a single utility feed available that may only be classified as Tier 2. The utility source is paired with a Grid Tied Generator and parallel AC and DC power distribution system. Each rack contains a UPS system with an AC and DC feed. An expandable rectifier system provides a source of DC power and battery storage systems are located on the end of each row. In case of failure of the Utility Source, the Diesel Generators (DG) come on automatically and the transfer switch aligns power to the DG source. However, in the event of loss a major component such as the step-down transformer or the Switchgear both sources are ineffective because of loss of path for distribution of power. Using DC Rectifiers, available in Modular Capacity of 500 KW or less, AC can be converted to DC and use to power the rack mounted UPS systems, installed in each rack. The system favors AC power during normal operation but in the event of any failure in the AC system the DC system uses the batteries while the Grid-Tie generator starts the load may shift from the batteries to the generators. This system is modular and both the AC UPS system and the DC system expands as the number of racks in the data center increases over time. In addition, the availability of the power in the racks is greater than a what is available in a typical Tier 3 data center topology with a reduced cost over all and a delayed capex cost as the system expands.
Being a brown field deployment, the benefits of Software defined Power and new augmented DC rectifiers can only be availed by new Whitespace deployment.
This is comparison of a typical data center that is not using Software Defined Power capabilities today and uses 50% of the capacity on each side of the power system during normal operations. Then in the event of a transfer from 2N to 1N operation all of the power is transferred to the remaining side of the power system.
With Software Defined Power some data centers are able to use 100% of the capacity of both sides of the power system during normal operations. ICE hardware and software is used as described in the previous slides to manage the redundant power in the event of a transfer from 2N to 1N operation. The redundant power that is above and beyond the 1N capacity limit is managed by peak shaving initially and then a series of load shedding protocols are executed by the ICE software until the system is stable in 1N mode at the full capacity of the remaining power feed. The load shedding protocols are defined by predetermined policies and operational variables in place at the time of the event.
This is a use case where a data center that is operating at or near its design capacity without ICE will have challenges when replacing legacy systems with new systems when the new systems need to be installed an put on-line while the legacy systems continue to run. In this example both systems will be running at the same time until the new system are proven to be reliable and the old systems can be taken off line. When both system are running the data center may not have enough capacity to run both system reliably.
With ICE this type of load migration can be managed with less disruption and with higher availability for critical system in the data center than without ICE. Redundant capacity can be used for the additional capacity head room while the migration takes place. In the event of a hiccup in the new equipment it will be treated with lower priority during the migration until ready to transfer the workloads. As the workloads transfer, the priority of the equipment changes as well. The process becomes a seamless transition where power is managed in such a manner as to maximize availability based on the criticality scoring of each load in real time.
This is an overview of Software Defined Power’s capabilities to converge IT operations with Facility operations to manage capacity in such a manner as to increase the utilization of a facility beyond what is available with management tools previously available.