Post by account_disabled on Mar 6, 2024 7:33:55 GMT
Even with the use of the most energy-efficient, highly-virtualized servers, energy continues to be wasted during periods of low application demand. This is why the ultimate step IT managers can take toward achieving energy proportionality is to abandon the wasteful “always on” mode of operating servers and to instead adopt a fully efficient “on demand” approach. The tool needed to make this change is a Data Center Infrastructure Management (DCIM) system capable of performing real-time management of application workloads, such as Power Assure’s EM/4 or ABB’s Decathlon.
The “on demand” approach to server utilization involves continuously and dynamically matching available server capacity in a virtualized cluster to the current application load. The goal is to power up servers only when they are needed to perform real work, and the effort can reduce total server energy consumption by over 50 percent in most data centers.
Automated runbooks are normally used to handle B2B Email List the steps involved in resizing clusters and/or de-/re-activating servers. Different versions of runbooks can be created for use on a predetermined schedule and for dynamic response to changing loads. Utilization rates for the active servers can be 80 percent or more with such dynamic load management, making this the most energy proportionate way to support variable application loads.
Matching server capacity to load is achieved within the framework of Software Defined Data Center (SDDC), where all IT infrastructure is virtualized and applications are delivered as a service, whether in house or from a colocation or hosted environment. In the future, enhanced versions of DCIM systems, like the ones Power Assure is working on, will need to support “Software Defined Power” by creating a layer of abstraction with the power and cooling infrastructure to shift application capacity within and across data centers. This approach guarantees the highest level of reliability, as there is always spare capacity, and shifting and shedding occurs automatically as hardware is dynamically turned on and off depending on the application demand.
The report investigates allegations made last month that two of APP’s suppliers were clearing natural forest in West Kalimantan Province on the island of Borneo and comes a day after analysis published by WWF and other environmental groups accuses APP of causing the deforestation of more than 1.4 million hectares in Sumatra, Indonesia.
In February, the controversial paper giant pledged to immediately stop clearing natural forest across its entire supply chain in Indonesia.
Last month, however, APP received a complaint from a consortium of local NGOs that two of its suppliers, PT Daya Tani Kalbar and PT Asia Tani Persada were clearing natural forest in West Kalimantan Province. APP and The Forest Trust, a nonprofit group that worked with APP on its Forest Conservation Policy, said it would look into the charges and publish the findings.
Today’s report says the investigation did find evidence of clearing natural forest — but not related to APP. It blames the deforestation on “concession lap,” where an area of forest concession serves two or more companies, and concludes the allegations made that APP suppliers were in breach of the company’s Forest Conservation Policy are unfounded.
The “on demand” approach to server utilization involves continuously and dynamically matching available server capacity in a virtualized cluster to the current application load. The goal is to power up servers only when they are needed to perform real work, and the effort can reduce total server energy consumption by over 50 percent in most data centers.
Automated runbooks are normally used to handle B2B Email List the steps involved in resizing clusters and/or de-/re-activating servers. Different versions of runbooks can be created for use on a predetermined schedule and for dynamic response to changing loads. Utilization rates for the active servers can be 80 percent or more with such dynamic load management, making this the most energy proportionate way to support variable application loads.
Matching server capacity to load is achieved within the framework of Software Defined Data Center (SDDC), where all IT infrastructure is virtualized and applications are delivered as a service, whether in house or from a colocation or hosted environment. In the future, enhanced versions of DCIM systems, like the ones Power Assure is working on, will need to support “Software Defined Power” by creating a layer of abstraction with the power and cooling infrastructure to shift application capacity within and across data centers. This approach guarantees the highest level of reliability, as there is always spare capacity, and shifting and shedding occurs automatically as hardware is dynamically turned on and off depending on the application demand.
The report investigates allegations made last month that two of APP’s suppliers were clearing natural forest in West Kalimantan Province on the island of Borneo and comes a day after analysis published by WWF and other environmental groups accuses APP of causing the deforestation of more than 1.4 million hectares in Sumatra, Indonesia.
In February, the controversial paper giant pledged to immediately stop clearing natural forest across its entire supply chain in Indonesia.
Last month, however, APP received a complaint from a consortium of local NGOs that two of its suppliers, PT Daya Tani Kalbar and PT Asia Tani Persada were clearing natural forest in West Kalimantan Province. APP and The Forest Trust, a nonprofit group that worked with APP on its Forest Conservation Policy, said it would look into the charges and publish the findings.
Today’s report says the investigation did find evidence of clearing natural forest — but not related to APP. It blames the deforestation on “concession lap,” where an area of forest concession serves two or more companies, and concludes the allegations made that APP suppliers were in breach of the company’s Forest Conservation Policy are unfounded.
