US20140052493A1 - Method for calculating energy efficiency of information technology equipment - Google Patents
Method for calculating energy efficiency of information technology equipment Download PDFInfo
- Publication number
- US20140052493A1 US20140052493A1 US14/064,571 US201314064571A US2014052493A1 US 20140052493 A1 US20140052493 A1 US 20140052493A1 US 201314064571 A US201314064571 A US 201314064571A US 2014052493 A1 US2014052493 A1 US 2014052493A1
- Authority
- US
- United States
- Prior art keywords
- energy efficiency
- information technology
- technology equipment
- equipment
- rating
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Abandoned
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R21/00—Arrangements for measuring electric power or power factor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/008—Reliability or availability analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R21/00—Arrangements for measuring electric power or power factor
- G01R21/01—Arrangements for measuring electric power or power factor in circuits having distributed constants
Definitions
- This present invention relates to power consumption of information technology equipment and specifically servers.
- Servers and other information technology equipment consume large amounts of energy.
- the energy consumption is depending on the load of the server and increases as load increases.
- the energy consumption is significantly different even between equipment that has similar performance characteristics and capabilities.
- Every type of information technology equipment also provides different levels of capacity for the applications that they run, also called performance indicator(s), and typically measured in terms of transactions per second. Such a performance indicator is used to compare different equipment against each other.
- This invention pertains specifically to a method for calculating the energy efficiency of servers and other information technology equipment.
- this invention allows the creation of a consistent and common measurement of performance per energy consuming component over time considering the continued capability improvement of IT equipment as defined by “Moore's Law”.
- this invention gives purchasing guidance based on energy efficiency ratings by comparing equipment not just on features, performance and price but also on their energy efficiency.
- this invention defines a method by which information technology equipment can be compared on their energy efficiency in either an absolute rating or relative to each other in a normalized rating.
- PAR4 rating PAR4 is a trademark of Power Assure, Inc.
- PAR4 rating PAR4 is a trademark of Power Assure, Inc.
- Vintage PAR4 Normalized rating
- this invention allows for normalized ratings to create standards to be achieved by energy efficiency ratings, e.g. Platinum, Gold, Silver, etc. to indicate that equipment is more or less efficient without looking to the detailed normalized rating. Furthermore this invention also claims that normalized ratings can be forecasted for each year in the future. (See FIG. 1 ) The normalized rating for a single piece of equipment will go down over time as its efficiency relative to Moore's Law increases in performance at the same amount of energy use will be lower than new equipment, giving the equipment buyer a chance to determine the optimal time to replace such equipment.
- energy efficiency ratings e.g. Platinum, Gold, Silver, etc.
- Absolute ratings are calculated according to the following formula:
- tps transactions per second
- watt watt of power consumption at 100% load
- proc the number of processors (not cores within a processor)
- cyr being the current year
- nsyr being the start year of the normalization
- mly being the number of years per Moore's law for said equipment for a 2 times performance increase.
- FIG. 1 shows a normalized rating graph for a single server for today, next year and in the future. As shown, the normalized rating goes down over time as performance should increase by a factor of 2 every 2 years while using the same amount of power—as a result the rating drops by a similar factor every 2 years.
- the present invention fulfills the above described needs in the art by providing a new method to establish energy efficiency ratings for information technology equipment that has many novel features and advantages not offered by the prior art, like:
- the number of transactions per second under full load using all 8 cores (4 cores on each of the 2 processors) is 131,000,000.
- the power consumption at such a load level has been measured as 243 Watt.
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Quality & Reliability (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- General Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Debugging And Monitoring (AREA)
Abstract
The present invention provides a METHOD TO CALCULATE AN ENERGY EFFICIENCY RATING for information technology equipment. This method specifically pertains to information technology equipment that doubles its capabilities in a predetermined timeframe according to Moore's Law. This method uses a formula to calculate an energy efficiency rating based on power consumption and transactions per second. It further calculates a normalized rating where the absolute rating is adjusted based on Moore's Law prediction of improvements. As a result the method invented is the first and only method to compare information technology from various generations of hardware, processor and component architecture with each other in terms of their energy efficiency.
Description
- This application claims priority under 35 USC 120 to and is a continuation of U.S. patent application Ser. No. 13/156,189, filed Jun. 8, 2011, and entitled “Method for Calculating Energy Efficiency of Information Technology Equipment”, which is a continuation of U.S. patent application Ser. No. 12/102,628 filed on Apr. 14, 2008 and entitled “Method to Calculate Energy Efficiency of Information Technology Equipment”, the entirety of each of which is incorporated herein by this reference thereto.
- This present invention relates to power consumption of information technology equipment and specifically servers.
- Servers and other information technology equipment consume large amounts of energy. The energy consumption is depending on the load of the server and increases as load increases. Depending on the components used in such information technology equipment, the energy consumption is significantly different even between equipment that has similar performance characteristics and capabilities.
- Furthermore every type of information technology equipment also provides different levels of capacity for the applications that they run, also called performance indicator(s), and typically measured in terms of transactions per second. Such a performance indicator is used to compare different equipment against each other.
- As of today such performance indicators do not include energy efficiency of such equipment relative to said performance.
- While performance ratings by transactions per second are common this invention extends such measures with the associated power consumption to calculate a rating of transactions per watt of power consumption to document the efficiency of the equipment when compared to other equipment.
- Furthermore information technology equipment evolution is based on “Moores Law” that states that computers will double their capacity every 2 years.
- As Wikipedia states: Moore's Law describes an important trend in the history of computer hardware: that the number of transistors that can be inexpensively placed on an integrated circuit is increasing exponentially, doubling approximately every two years. The observation was first made by Intel co-founder Gordon E. Moore in a 1965 paper. The trend has continued for more than half a century and is not expected to stop for another decade at least and perhaps much longer.
- Almost every measure of the capabilities of digital electronic devices is linked to Moore's Law: processing speed, memory capacity, even the resolution of digital cameras. All of these are improving at (roughly) exponential rates as well. This has dramatically increased the usefulness of digital electronics in nearly every segment of the world economy. Moore's Law describes this driving force of technological and social change in the late 20th and early 21st centuries.
- Following Moore's Law means that the transactions per Watt of energy consumption will also double every 2 years and as such any rating for information technology equipment that is based on technology innovation that follows Moore's Law has to factor this in to allow for a useful comparison of such equipment relative to its release date.
- This invention pertains specifically to a method for calculating the energy efficiency of servers and other information technology equipment.
- Moreover, this invention allows the creation of a consistent and common measurement of performance per energy consuming component over time considering the continued capability improvement of IT equipment as defined by “Moore's Law”.
- Moreover, this invention gives purchasing guidance based on energy efficiency ratings by comparing equipment not just on features, performance and price but also on their energy efficiency.
- Today there is no common method to compare information technology equipment that includes a component for energy efficiency. Today's benchmarks are usually used to select equipment based on its performance (transactions per second) and not based on its energy efficiency in relation to its performance (transactions per k Wh). While today the best performance is still a fairly common measure, best performance for a said energy consumption is much more meaningful for cost sensitive organizations.
- In view of the limitations of the prior art, this invention defines a method by which information technology equipment can be compared on their energy efficiency in either an absolute rating or relative to each other in a normalized rating.
- Absolute rating (called PAR4 rating—PAR4 is a trademark of Power Assure, Inc.) means transactions per kWh of energy consumption. This number will be higher with each new generation of equipment as their capacity, performance and capabilities increases (See Moore's Law). A higher number represents better energy efficiency by performing more transactions per kWh of energy.
- Normalized rating (called Vintage PAR4) means a number relative to a defined date in the past, normalized against performance increases as expected by Moore's Law. This means that every two years the number of transactions per kWh has to double to achieve the same normalized rating.
- Furthermore this invention allows for normalized ratings to create standards to be achieved by energy efficiency ratings, e.g. Platinum, Gold, Silver, etc. to indicate that equipment is more or less efficient without looking to the detailed normalized rating. Furthermore this invention also claims that normalized ratings can be forecasted for each year in the future. (See
FIG. 1 ) The normalized rating for a single piece of equipment will go down over time as its efficiency relative to Moore's Law increases in performance at the same amount of energy use will be lower than new equipment, giving the equipment buyer a chance to determine the optimal time to replace such equipment. - Furthermore the method presented in this innovation calculates all ratings on a logarithmic scale to be in line with Moore's Law which is defined by exponential growth. Absolute ratings (PAR4) are calculated according to the following formula:
-
PAR4=log.sub.2(tps/watt)*100 - with tps being transactions per second and watt being watt of power consumption at 100% load
- Normalized ratings are calculated according to the following formula:
-
Vintage PAR4=log.sub.2(tps/(watt*proc*2.sup.(cyr-nsyr)/mly))*100 - with tps being transactions per second, watt being watt of power consumption at 100% load, proc being the number of processors (not cores within a processor), cyr being the current year, nsyr being the start year of the normalization and mly being the number of years per Moore's law for said equipment for a 2 times performance increase.
- Using both calculations can easily classify equipment on their energy efficiency either in absolute terms or relative to past and future equipment. While this invention does not limit the precision of the resulting rating, the examples used will show integer values without decimals.
-
FIG. 1 shows a normalized rating graph for a single server for today, next year and in the future. As shown, the normalized rating goes down over time as performance should increase by a factor of 2 every 2 years while using the same amount of power—as a result the rating drops by a similar factor every 2 years. - In one aspect, the present invention fulfills the above described needs in the art by providing a new method to establish energy efficiency ratings for information technology equipment that has many novel features and advantages not offered by the prior art, like:
- 1. A method to calculate a PAR4 rating as an absolute rating of said equipment's energy efficiency in terms of transactions per kWh.
- 2. A method to calculate a Vintage PAR4 rating as a normalized rating of said equipment's energy efficiency adjusted by Moore's Law improvements in performance and efficiencies.
- The result is a new method for energy efficiency rating of information technology equipment, which is not apparent, obvious, or suggested, either directly or indirectly by any of the prior art.
- Using this method to rate information technology equipment will show easy comparison in absolute ratings and normalized ratings. As an example the following server will be used to demonstrate the use of this invention:
- Server:
- Supermicro with dual Intel Xeon X5450 Quad Core, 100 GB Hard disk, 2 GB Memory
- The number of transactions per second under full load using all 8 cores (4 cores on each of the 2 processors) is 131,000,000. The power consumption at such a load level has been measured as 243 Watt.
-
PAR4=int(log.sub.2(131,000,000/243)*100)=1904 - If the same server would run less transactions per second e.g. 50,000,000 the par4 rating would be lower as well:
-
PAR4=int(log.sub.2(50,000,000/243)*100)=1765 - (Note: Integer adjustments done to get rounded down numbers)
- Calculating the normalized rating for the
year 2008 based on a historic date of 2000 will look like this: -
Vintage PAR4=int(log.sub.2(131000000/(243*2*2.sup.(2280−2000)/2))*100=1404 - For 2009 the same server would get a Vintage PAR4 normalized rating of:
-
Vintage PAR4=int(log.sub.2(131000000/(243*2*2.sup.(2009−2000)/2))*100=1354 - For 2010 the same server would get a Vintage PAR4 normalized rating of:
-
Vintage PAR4=int(log.sub.2(131000000/(243*2*2.sup.(2120−2000)/2))*100=1304 - While the foregoing has been with reference to a particular embodiment of the invention, it will be appreciated by those skilled in the art that changes in this embodiment may be made without departing from the principles and spirit of the disclosure, the scope of which is defined by the appended claims.
Claims (8)
1. A method to calculate energy efficiency of information technology equipment, comprising:
determining a power consumption at a predetermined load value for a piece of information technology equipment; and
calculating an energy efficiency of the piece of information technology equipment by dividing a transactions per second value by the power consumption at the predetermined load value.
2. The method of claim 1 , wherein calculating the energy efficiency further comprises calculating an absolute rating of energy efficiency of the information technology equipment.
3. The method of claim 1 , wherein calculating the energy efficiency further comprises calculating a normalized rating of energy efficiency of information technology equipment over time.
4. The method of claim 1 further comprising generating a normalized ratings graph for information technology equipment that shows the expected rating of such equipment over time and in the future.
5. The method of claim 1 further comprising using the energy efficiency to give purchasing guidance based on said energy efficiency ratings so that equipment purchasing decisions can include performance per energy usage.
6. The method of claim 2 , wherein calculating the absolute rating of energy efficiency of the information technology equipment further comprises using the formula:
Log 2(tps/watt)*N
Log 2(tps/watt)*N
wherein tps is the transactions per second value and watt is the power consumption at N % load value.
7. The method of claim 3 , wherein calculating the normalized rating of energy efficiency further comprises using the formula:
Log 2(tps/watt*proc*M(cyr-nsyr)/mly))*N
Log 2(tps/watt*proc*M(cyr-nsyr)/mly))*N
wherein tps is the transactions per second value, watt is the power consumption at N % load value, proc is a number of processors in the information technology equipment, cyr is a current year, nsyr is a start year of the normalization, and mly is a number of years per Moore's law for said equipment for an M times performance increase.
8. The method of claim 1 , wherein calculating an energy efficiency further comprises calculating an energy efficiency of the piece of information technology equipment by taking a logarithm of the transactions per second value divided by the power consumption at the predetermined load value.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US14/064,571 US20140052493A1 (en) | 2008-04-14 | 2013-10-28 | Method for calculating energy efficiency of information technology equipment |
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US12/102,628 US7970561B2 (en) | 2008-04-14 | 2008-04-14 | Method to calculate energy efficiency of information technology equipment |
US13/156,189 US8571820B2 (en) | 2008-04-14 | 2011-06-08 | Method for calculating energy efficiency of information technology equipment |
US14/064,571 US20140052493A1 (en) | 2008-04-14 | 2013-10-28 | Method for calculating energy efficiency of information technology equipment |
Related Parent Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US13/156,189 Continuation US8571820B2 (en) | 2008-04-14 | 2011-06-08 | Method for calculating energy efficiency of information technology equipment |
Publications (1)
Publication Number | Publication Date |
---|---|
US20140052493A1 true US20140052493A1 (en) | 2014-02-20 |
Family
ID=41164685
Family Applications (3)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US12/102,628 Active 2029-09-18 US7970561B2 (en) | 2008-04-14 | 2008-04-14 | Method to calculate energy efficiency of information technology equipment |
US13/156,189 Active US8571820B2 (en) | 2008-04-14 | 2011-06-08 | Method for calculating energy efficiency of information technology equipment |
US14/064,571 Abandoned US20140052493A1 (en) | 2008-04-14 | 2013-10-28 | Method for calculating energy efficiency of information technology equipment |
Family Applications Before (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US12/102,628 Active 2029-09-18 US7970561B2 (en) | 2008-04-14 | 2008-04-14 | Method to calculate energy efficiency of information technology equipment |
US13/156,189 Active US8571820B2 (en) | 2008-04-14 | 2011-06-08 | Method for calculating energy efficiency of information technology equipment |
Country Status (1)
Country | Link |
---|---|
US (3) | US7970561B2 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20180284870A1 (en) * | 2017-03-30 | 2018-10-04 | Electronics And Telecommunications Research Institute | Method and apparatus for energy efficiency rating evaluation for physical server |
Families Citing this family (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8065206B2 (en) * | 2005-03-23 | 2011-11-22 | Hewlett-Packard Development Company, L.P. | Byte-based method, process and algorithm for service-oriented and utility infrastructure usage measurement, metering, and pricing |
US9621360B2 (en) * | 2010-01-22 | 2017-04-11 | Alcatel Lucent | System and method for analyzing network power consumption |
US20120182904A1 (en) * | 2011-01-14 | 2012-07-19 | Shah Amip J | System and method for component substitution |
DE102015203649A1 (en) * | 2014-08-12 | 2016-02-18 | Rohde & Schwarz Gmbh & Co. Kg | Power meter with two detector elements for power measurement even of very small frequencies |
CN105823924A (en) * | 2015-01-06 | 2016-08-03 | 上海宽带技术及应用工程研究中心 | Integrated cabinet server energy efficiency testing circuit and method |
US11574372B2 (en) | 2017-02-08 | 2023-02-07 | Upstream Data Inc. | Blockchain mine at oil or gas facility |
US11016456B2 (en) | 2018-01-11 | 2021-05-25 | Lancium Llc | Method and system for dynamic power delivery to a flexible datacenter using unutilized energy sources |
US11016553B2 (en) | 2018-09-14 | 2021-05-25 | Lancium Llc | Methods and systems for distributed power control of flexible datacenters |
US10873211B2 (en) | 2018-09-14 | 2020-12-22 | Lancium Llc | Systems and methods for dynamic power routing with behind-the-meter energy storage |
US11031787B2 (en) | 2018-09-14 | 2021-06-08 | Lancium Llc | System of critical datacenters and behind-the-meter flexible datacenters |
US11025060B2 (en) | 2018-09-14 | 2021-06-01 | Lancium Llc | Providing computational resource availability based on power-generation signals |
US10367353B1 (en) * | 2018-10-30 | 2019-07-30 | Lancium Llc | Managing queue distribution between critical datacenter and flexible datacenter |
US11031813B2 (en) | 2018-10-30 | 2021-06-08 | Lancium Llc | Systems and methods for auxiliary power management of behind-the-meter power loads |
US10452127B1 (en) | 2019-01-11 | 2019-10-22 | Lancium Llc | Redundant flexible datacenter workload scheduling |
CN109753017B (en) * | 2019-01-29 | 2020-04-07 | 重庆大学 | System and method for acquiring intrinsic energy efficiency element function of numerical control machine tool |
US11128165B2 (en) | 2019-02-25 | 2021-09-21 | Lancium Llc | Behind-the-meter charging station with availability notification |
US11907029B2 (en) | 2019-05-15 | 2024-02-20 | Upstream Data Inc. | Portable blockchain mining system and methods of use |
US11397999B2 (en) | 2019-08-01 | 2022-07-26 | Lancium Llc | Modifying computing system operations based on cost and power conditions |
US11868106B2 (en) | 2019-08-01 | 2024-01-09 | Lancium Llc | Granular power ramping |
US10618427B1 (en) | 2019-10-08 | 2020-04-14 | Lancium Llc | Behind-the-meter branch loads for electrical vehicle charging |
US10608433B1 (en) | 2019-10-28 | 2020-03-31 | Lancium Llc | Methods and systems for adjusting power consumption based on a fixed-duration power option agreement |
US11042948B1 (en) | 2020-02-27 | 2021-06-22 | Lancium Llc | Computing component arrangement based on ramping capabilities |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090235104A1 (en) * | 2000-09-27 | 2009-09-17 | Fung Henry T | System, architecture, and method for logical server and other network devices in a dynamically configurable multi-server network environment |
Family Cites Families (32)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7200219B1 (en) | 1999-02-10 | 2007-04-03 | Avaya Technology Corp. | Dynamically allocating server resources to competing classes of work based upon achievement of service goals |
US7552350B2 (en) | 2000-09-27 | 2009-06-23 | Huron Ip Llc | System and method for activity or event base dynamic energy conserving server reconfiguration |
US7143300B2 (en) | 2001-07-25 | 2006-11-28 | Hewlett-Packard Development Company, L.P. | Automated power management system for a network of computers |
US20030055969A1 (en) | 2001-09-17 | 2003-03-20 | International Business Machines Corporation | System and method for performing power management on a distributed system |
US20030193777A1 (en) | 2002-04-16 | 2003-10-16 | Friedrich Richard J. | Data center energy management system |
US20040158360A1 (en) | 2003-02-04 | 2004-08-12 | Charles Garland | System and method of energy management and allocation within an energy grid |
US7210048B2 (en) | 2003-02-14 | 2007-04-24 | Intel Corporation | Enterprise power and thermal management |
US7908605B1 (en) | 2005-01-28 | 2011-03-15 | Hewlett-Packard Development Company, L.P. | Hierarchal control system for controlling the allocation of computer resources |
US7216058B2 (en) * | 2005-04-11 | 2007-05-08 | Cimx Corporation | Diagnostic method for analyzing power consumption of electrical equipment |
US7571028B2 (en) | 2005-04-19 | 2009-08-04 | Genscape Intangible Holding, Inc. | Method and system for AC power grid monitoring |
US7274975B2 (en) | 2005-06-06 | 2007-09-25 | Gridpoint, Inc. | Optimized energy management system |
US7587492B2 (en) | 2005-07-29 | 2009-09-08 | Hewlett-Packard Development Company, L.P. | Dynamic performance management for virtual servers |
JP4800837B2 (en) | 2006-05-22 | 2011-10-26 | 株式会社日立製作所 | Computer system, power consumption reduction method thereof, and program thereof |
US7844839B2 (en) | 2006-12-07 | 2010-11-30 | Juniper Networks, Inc. | Distribution of network communications based on server power consumption |
US8706914B2 (en) | 2007-04-23 | 2014-04-22 | David D. Duchesneau | Computing infrastructure |
US7739388B2 (en) | 2007-05-30 | 2010-06-15 | International Business Machines Corporation | Method and system for managing data center power usage based on service commitments |
US7930573B2 (en) | 2007-09-18 | 2011-04-19 | International Business Machines Corporation | Workload apportionment according to mean and variance |
US8200992B2 (en) * | 2007-09-24 | 2012-06-12 | Cognitive Electronics, Inc. | Parallel processing computer systems with reduced power consumption and methods for providing the same |
WO2009055368A2 (en) | 2007-10-21 | 2009-04-30 | Citrix Systems, Inc. | Systems and methods to adaptively load balance user sessions to reduce energy consumption |
US20090119233A1 (en) | 2007-11-05 | 2009-05-07 | Microsoft Corporation | Power Optimization Through Datacenter Client and Workflow Resource Migration |
US20090150700A1 (en) | 2007-12-06 | 2009-06-11 | International Business Machines Corporation | Method of controlling power to a plurality of servers |
KR100968202B1 (en) | 2007-12-12 | 2010-07-06 | 한국전자통신연구원 | Cluster System For Reducing Consumption Power And Power Source Management Method Thereof |
US7934108B2 (en) | 2007-12-18 | 2011-04-26 | Dell Products, Lp | System and method to identify power savings |
US8069359B2 (en) | 2007-12-28 | 2011-11-29 | Intel Corporation | System and method to establish and dynamically control energy consumption in large-scale datacenters or IT infrastructures |
US8447993B2 (en) | 2008-01-23 | 2013-05-21 | Palo Alto Research Center Incorporated | Integrated energy savings and business operations in data centers |
US7808780B2 (en) | 2008-02-28 | 2010-10-05 | International Business Machines Corporation | Variable flow computer cooling system for a data center and method of operation |
US8001403B2 (en) | 2008-03-14 | 2011-08-16 | Microsoft Corporation | Data center power management utilizing a power policy and a load factor |
US8090476B2 (en) | 2008-07-11 | 2012-01-03 | International Business Machines Corporation | System and method to control data center air handling systems |
US8086544B2 (en) | 2008-09-03 | 2011-12-27 | International Business Machines Corporation | Analysis of energy-related factors for selecting computational job locations |
WO2010050041A1 (en) | 2008-10-31 | 2010-05-06 | 株式会社日立製作所 | Computer system |
US8560677B2 (en) | 2009-02-13 | 2013-10-15 | Schneider Electric It Corporation | Data center control |
US8365175B2 (en) | 2009-03-10 | 2013-01-29 | International Business Machines Corporation | Power management using dynamic application scheduling |
-
2008
- 2008-04-14 US US12/102,628 patent/US7970561B2/en active Active
-
2011
- 2011-06-08 US US13/156,189 patent/US8571820B2/en active Active
-
2013
- 2013-10-28 US US14/064,571 patent/US20140052493A1/en not_active Abandoned
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090235104A1 (en) * | 2000-09-27 | 2009-09-17 | Fung Henry T | System, architecture, and method for logical server and other network devices in a dynamically configurable multi-server network environment |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20180284870A1 (en) * | 2017-03-30 | 2018-10-04 | Electronics And Telecommunications Research Institute | Method and apparatus for energy efficiency rating evaluation for physical server |
KR20180110741A (en) * | 2017-03-30 | 2018-10-11 | 한국전자통신연구원 | Method and apparatus for energy efficiency rating evaluation for physical server |
KR102251995B1 (en) * | 2017-03-30 | 2021-05-17 | 한국전자통신연구원 | Method and apparatus for energy efficiency rating evaluation for physical server |
Also Published As
Publication number | Publication date |
---|---|
US20110238342A1 (en) | 2011-09-29 |
US7970561B2 (en) | 2011-06-28 |
US20090259417A1 (en) | 2009-10-15 |
US8571820B2 (en) | 2013-10-29 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US8571820B2 (en) | Method for calculating energy efficiency of information technology equipment | |
Byrne et al. | How fast are semiconductor prices falling? | |
CN109858740B (en) | Enterprise risk assessment method and device, computer equipment and storage medium | |
CN108829638B (en) | Business data fluctuation processing method and device | |
CN101048722B (en) | Method and system for managing heat of circuit | |
US20060095913A1 (en) | Temperature-based thread scheduling | |
Krauss et al. | Non-linear dependence modelling with bivariate copulas: Statistical arbitrage pairs trading on the S&P 100 | |
Borghesi et al. | Pricing schemes for energy-efficient HPC systems: Design and exploration | |
Leung et al. | American step-up and step-down default swaps under Lévy models | |
Wu et al. | A modified sampling plan by variables with an adjustable mechanism for lot sentencing | |
Valletti et al. | Should Profit Margins Play a More Decisive Role in Merger Control?–A Rejoinder to Jorge Padilla | |
Nguyen et al. | Invoice currency choice, nonlinearities and exchange rate pass-through | |
Ncube et al. | Assessment of apparent losses due to meter inaccuracy using an alternative, validated methodology | |
CN108665113A (en) | Index prediction technique and device | |
CN115482041A (en) | Bond valuation method, bond valuation model training method and device | |
Shang et al. | Credit market development and firm innovation: evidence from the People's Republic of China | |
Vexler et al. | Note on distribution-free estimation of maximum linear separation of two multivariate distributions | |
Elliott et al. | Improving disparity estimates for rare racial/ethnic groups with trend estimation and Kalman filtering: an application to the National Health Interview Survey | |
CN116485262B (en) | Evaluation method of pricing strategy, electronic equipment and storage medium | |
Chang et al. | Exchange rate prediction using monetary policy rules in Taiwan | |
US20240184533A1 (en) | Apparatus and method with data processing | |
TWM564215U (en) | A system for establishing liquidity risk assessment form | |
CN112434198B (en) | Chart component recommending method and device | |
Li et al. | The Economic Consequences of Expanding Accounting Recognition | |
CN111178939B (en) | Measuring and calculating method and terminal equipment for peak shaving quotation of auxiliary service market of heat supply unit |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
STCB | Information on status: application discontinuation |
Free format text: ABANDONMENT FOR FAILURE TO CORRECT DRAWINGS/OATH/NONPUB REQUEST |