Reducing Power Use and Enabling Oversubscription in Multi-tenant Data Centers Using Local Price

Author(s):  
Sulav Malla ◽  
Ken Christensen
Keyword(s):  
2015 ◽  
Vol 15 (01n02) ◽  
pp. 1550003 ◽  
Author(s):  
DAWEI LI ◽  
JIE WU

Two important components that consume the majority of IT power in data centers are the servers and the Data Center Network (DCN). Existing works fail to fully utilize power management techniques on the servers and in the DCN at the same time. In this paper, we jointly consider VM placement on servers with scalable frequencies and flow scheduling in the DCN, to minimize the overall system’s power consumption. Due to the convex relation between a server’s power consumption and its operating frequency, we prove that, given the number of servers to be used, computation workloads should be allocated to severs in a balanced way, to minimize the power consumption on servers. To reduce the power consumption of the DCN, we further consider the flow requirements among the VMs during VM allocation and assignment. Also, after VM placement, flow consolidation is conducted to reduce the number of active switches and ports. We notice that, choosing the minimum number of servers to accommodate the VMs may result in high power consumption on servers, due to servers’ increased operating frequencies. Choosing the optimal number of servers purely based on servers’ power consumption leads to reduced power consumption on servers, but may increase power consumption of the DCN. We propose to choose the optimal number of servers to be used, based on the overall system’s power consumption. Simulations show that, our joint power optimization method helps to reduce the overall power consumption significantly, and outperforms various existing state-of-the-art methods in terms of reducing the overall system’s power consumption.


Author(s):  
Manish Marwah ◽  
Martin Arlitt ◽  
Christopher Hoover ◽  
Cullen Bash ◽  
Ratnesh K. Sharma

In recent years, climate change, depletion of conventional energy sources and rising energy costs have led to an increased focus on sustainability. Within the Information Technology (IT) sector, data centers are significant energy consumers. The first steps towards reducing power consumption in data centers are to monitor it and to determine the heavy hitters. Unfortunately, fine-grain power information is often not readily available within data center environments. In this paper, we conduct an exploratory analysis of aggregate power data in a data center. We collect data from the power infrastructure of a data center in Palo Alto, CA, as well as from a data center in Bangalore, India. We examine the data in increasing detail, and reveal the opportunities and challenges for disaggregating data center power consumption data.


Author(s):  
Kiran Voderhobli

This chapter describes a novel approach to study network patterns in a data centre with the aim of reducing power consumed. Cloud infrastructures rely on numerous networked devices in data-centers to provide virtualization and sharing of resources. Network traffic is one of the key contributors to power consumption. Numerous techniques to develop power-aware data-centers have been proposed in the recent years. Virtualization management is based on many critical decisions including work-load, utilization, location of physical resources etc. This chapter takes a unique network management angle to greening a data center. It describes how Simple Network Management Protocol (SNMP) has a great potential to characterize traffic which can then feed into decisions for management of virtualized entities.


Author(s):  
N. Thirupathi Rao ◽  
Debnath Bhattacharyya ◽  
S. Naga Mallik Raj

1955 ◽  
Vol 18 (4) ◽  
pp. 374-378
Author(s):  
Mogens Sprechler

SUMMARY Since 1949 about 10,000 urinary corticoid analyses have been performed routinely in our laboratory. The method used for this purpose was described in 1950 (Sprechler). We determine the corticoids which can be extracted from the urine with chloroform immediately after acidification to pH 1. The extract is washed with sodium hydroxide and water, a Girard separation is performed, and finally the reducing power of the ketonic fraction is measured by means of the phosphomolybdic acid reagent reaction. During the last few years two other chemical reactions have been used for comparison: The formaldehyde and the Porter-Silber method. After a thorough examination of the above methods a standard technique was followed. In the formaldehyde method a microdiffusion in a Conway unit was used instead of distillation of the formaldehyde following the oxidation with periodic acid. The calibration curve was corrected for loss of material by taking the standard doses of DOC through all the procedures of the method. A micromodification of the Porter-Silber method was chosen. Furthermore attempts were made to determine how specific the chromatographic procedure is in the determination of steroids in urinary extracts. For this purpose the Florisil column was used, and the technique described by Nelson & Samuels was followed. Finally we have investigated the glucuronide-bound corticoids in urine in a smaller series of objects.


2011 ◽  
Vol 131 (7) ◽  
pp. 424-428
Author(s):  
Masahide YANAGI ◽  
Yosuke UDAGAWA ◽  
Shisei WARAGAI
Keyword(s):  

2012 ◽  
Vol E95.B (6) ◽  
pp. 1990-1996
Author(s):  
Seiya ABE ◽  
Sihun YANG ◽  
Masahito SHOYAMA ◽  
Tamotsu NINOMIYA ◽  
Akira MATSUMOTO ◽  
...  

2020 ◽  
pp. 15-21
Author(s):  
Arindam Ghosh ◽  
Soumya Majumder ◽  
Sumedha Saha ◽  
Malay Bhattacharya

Beneficial properties of shade trees of tea plantations other than their medicinal properties have been extensively studied. This research was initiated to explore the properties of some shade trees with special emphasis on their antioxidant and antibacterial properties. Leaves from shade tree like Dalbergia sissoo (DS), Cassia siamea (CS), Derris robusta (DR), Leucaena leucocephala (LL), Acacia lenticularis (AL) and Melia azedarach (MA) were used for the study. Characterization of shade tree leaves by determination of moisture, crude fibre and ash content and tests of non polar – polar solvent extracts for steroid, tannins, cardiac glycosides and coumarin, free radical scavenging, ferric reducing power, NO scavenging activities, quantification of Flavonoids and antibacterial activity were conducted. The average moisture, crude fibre and ash percentage of shade tree plants were found to be 62.95, 11.28 and 1.86 respectively. Methanol, ethanol, acetone and ethyl acetate respectively proved to be the most potent solvent for various phytochemical extractions as it gave positive results for tests like tannin, steroid, cardiac glycosides and coumarin. AL (91.46%), DR (92.69%), LL (94.32%) and MA (93.34%) leaf extracts showed a high level of DPPH scavenging activity in their water extracts. In DS (88.11%) and CS (83.23%) maximum DPPH scavenging activity was observed in Diethyl ether and Methanol extracts respectively.  Acetone extracts were more active than the water extracts in exhibiting ferric reducing power and NO scavenging activity. Summation of the quantity revealed that DS showed maximum presence of flavonoids and acetone as most potential for isolation of flavonoids. The decreasing order of summative antibacterial activity was recorded in DS, followed by CS, DR, AL, MA and LL. Chloroform showed the highest summative inhibition zone followed by ethanol, ethyl acetate, diethyl ether, acetone, water,  hexane, benzene and methanol. The antioxidant and antibacterial potential of shade trees were established.


2017 ◽  
Vol 26 (1) ◽  
pp. 27 ◽  
Author(s):  
B Saranya ◽  
T Sulfikarali ◽  
S Chindhu ◽  
A M Muneeb ◽  
N K Leela ◽  
...  

Antioxidant activity of sequential extracts of black pepper, ginger, turmeric and cinnamon was determined by DPPH assay, phosphomolybdate method and ferric reducing power method and compared with that of the synthetic antioxidant BHA. The results revealed that methanol extract of cinnamon has highest antioxidant potential followed by chloroform extract of turmeric. The antioxidant potential was also correlated with total phenol content.  


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