TY - JOUR
T1 - Application-triggered automatic distributed cloud/network resource coordination by optically networked inter/intra data center [invited]
AU - Yamanaka, Naoaki
AU - Okamoto, Satoru
AU - Hirono, Masayuki
AU - Imakiire, Yukihiro
AU - Muro, Wataru
AU - Sato, Takehiro
AU - Oki, Eiji
AU - Fumagalli, Andrea
AU - Veeraraghavan, Malathi
N1 - Funding Information:
The work at Keio University was supported in part by the High-speed Optical Layer 1 Switch system for Time slot switching-based optical data center networks (HOLST) Project funded by the New Energy and Industrial Technology Development Organization (NEDO) of Japan.
Funding Information:
Department of Electrical & Computer Engineering at the University of Virginia (UVA). She received the B.Tech degree from Indian Institute of Technology (Madras) in 1984, and M.S. and Ph.D. degrees from Duke University in 1985 and 1988, respectively. After receiving the Distinguished Member of Technical Staff award in a 10-year career at Bell Laboratories, she joined the faculty at Polytechnic University, Brooklyn, New York, where she was Associate Professor of Electrical Engineering from 1999 to 2002. She joined the University of Virginia as Director of the Computer Engineering Program, with a joint faculty position in the Departments of Electrical and Computer Engineering and Computer Science, in 2003. Her research work has been primarily in high-speed networking, which includes optical, datacenter, virtual-circuit, and grid networks. She has also worked on cellular, WiFi, and vehicular networks. Her current research funding is from the National Science Foundation and the U.S. Department of Energy. She holds 30 patents, has over 138 publications, and has received six best-paper awards. She served as the Technical Program Committee Co-Chair for the High-Speed Networking Symposium in IEEE ICC 2013, as Technical Program Committee Chair for IEEE ICC 2002, and Associate Editor of the IEEE/ ACM Transactions on Networking. She was General Chair for the IEEE Computer Communications Workshop in 2000, and served as an area editor for IEEE Communication Surveys. She served as editor of IEEE ComSoc e-News and as an associate editor of the IEEE Transactions on Reliability from 1992 to 1994.
Publisher Copyright:
© 2009-2012 OSA.
PY - 2018/7
Y1 - 2018/7
N2 - Everything is being connected to the Cloud and Internet of Things, and network robots with big data analy- sis are creating important applications and services. The cloud network architecture is moving towards mega-cloud data centers (DCs) provided by companies such as Amazon and Google in combination with distributed small DCs or edge computers. While the traditional restrictions im- posed by distance and bandwidth are being overcome by the development of advanced optical interconnection, modern applications impose more complex performance and quality of service requirements in terms of processing power, response time, and data amount. The rise in cloud perfor- mance must be matched by improvements in network per- formance. Therefore, we propose an application-triggered cloud network architecture based on huge-bandwidth optical interconnections. This paper addresses edge/center cloud and edge/edge integration with the use of virtual ma- chine migration. In addition, to reduce energy consumption, an application-triggered intra-DC architecture is described. Using the proposed architectures and technologies can real- ize energy-efficient and high-performance cloud service.
AB - Everything is being connected to the Cloud and Internet of Things, and network robots with big data analy- sis are creating important applications and services. The cloud network architecture is moving towards mega-cloud data centers (DCs) provided by companies such as Amazon and Google in combination with distributed small DCs or edge computers. While the traditional restrictions im- posed by distance and bandwidth are being overcome by the development of advanced optical interconnection, modern applications impose more complex performance and quality of service requirements in terms of processing power, response time, and data amount. The rise in cloud perfor- mance must be matched by improvements in network per- formance. Therefore, we propose an application-triggered cloud network architecture based on huge-bandwidth optical interconnections. This paper addresses edge/center cloud and edge/edge integration with the use of virtual ma- chine migration. In addition, to reduce energy consumption, an application-triggered intra-DC architecture is described. Using the proposed architectures and technologies can real- ize energy-efficient and high-performance cloud service.
KW - Computer networks
KW - Network architecture
KW - Optical interconnection
KW - Optical switch
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U2 - 10.1364/JOCN.10.000B15
DO - 10.1364/JOCN.10.000B15
M3 - Article
AN - SCOPUS:85050239102
SN - 1943-0620
VL - 10
SP - B15-B24
JO - Journal of Optical Communications and Networking
JF - Journal of Optical Communications and Networking
IS - 7
ER -
