Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Miau-Ru Dai"'
Autor:
Miau-Ru Dai, 戴妙如
102
Previous studies usually focused on the large-scale data centers; energy consumption of small data centers is often overlooked due to their relatively low electricity cost. However, in U.S., the estimated number of servers reveals an unantic
Previous studies usually focused on the large-scale data centers; energy consumption of small data centers is often overlooked due to their relatively low electricity cost. However, in U.S., the estimated number of servers reveals an unantic
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/27562023384609125227
Autor:
Miau-Ru Dai, 戴妙如
95
This thesis introduces an innovative algorithm to obtain all meaningful nontrivial repeating patterns in music objects. This algorithm extracts so-called significant nontrivial repeating patterns from a melody music object. In addition, the p
This thesis introduces an innovative algorithm to obtain all meaningful nontrivial repeating patterns in music objects. This algorithm extracts so-called significant nontrivial repeating patterns from a melody music object. In addition, the p
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/yn2d5q
Publikováno v:
Energy Efficiency. 9:1115-1144
The population of the Internet users has exceeded 2.4 billion. Data centers provide Internet services to fulfill the demand from these users. Many data centers adopt the cluster-based server systems to host the required Internet services. These serve
Publikováno v:
Future Generation Computer Systems. 32:232-245
This paper presents a load control method for small data centers, which are rarely studied although they account for more than 50% of all data centers. The method utilizes the data network and the electrical network to control power usage for partici
Autor:
Miau Ru Dai, Cheng-Jen Tang
Publikováno v:
Applied Mechanics and Materials. :3597-3603
Demand response (DR) is an important ingredient and regarded as the killer application of the emerging smart grid. The continuously growing energy consumption of data centers makes data centers promising candidates with significant potential for DR.
Autor:
Miau-Ru Dai, Cheng-Jen Tang
Publikováno v:
Mathematical Problems in Engineering, Vol 2015 (2015)
A cloud system usually consists of a lot of server clusters handling various applications. To satisfy the increasing demands, especially for the front-end web applications, the computing capacity of a cloud system is often allocated for the peak dema
Autor:
Cheng-Jen Tang, Miau-Ru Dai
Publikováno v:
UIC/ATC
Demand Response (DR) is often regarded as the killer application of the emerging smart grid. The ever-growing Internet population and energy consumption makes data centers auspicious candidates with great potential for DR. Besides commercial data cen
Autor:
Cheng-Jen Tang, Miau-Ru Dai
Publikováno v:
2011 IEEE/SICE International Symposium on System Integration (SII).
Cloud computing clusters distributed computers to provide applications as services and on-demand resources over Internet. From the perspective of average and total energy consumption, such consolidated resource enhances the energy efficiency on both
Autor:
Cheng-Jen Tang, Miau-Ru Dai
Publikováno v:
2011 IEEE 15th International Symposium on Consumer Electronics (ISCE).
Cloud computing refers to clusters of distributed computers that provide applications as services and on-demand resources over Internet. Theoretically, such consolidated resource enhances the energy efficiency of both clients and servers. However, th
Autor:
Miau Ru Dai, Cheng-Jen Tang
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642239472
SUComS
SUComS
Cloud computing is a computation intensive service that clusters distributed computers providing applications as services and on-demand resources over Internet. Theoretically, such consolidated resource enhances the energy efficiency of both clients
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f602ea1cfab648343b05f334a9ae83ff
https://doi.org/10.1007/978-3-642-23948-9_12
https://doi.org/10.1007/978-3-642-23948-9_12