Cloud-Sea Computing Systems：Towards Thousand-Fold Improvement in Performance per Watt for the Coming Zettabyte Era
Cloud-Sea Computing Systems：Towards Thousand-Fold Improvement in Performance per Watt for the Coming Zettabyte Era
-
摘要: We are entering a new era of computing, characterized by the need to handle over one zettabyte (1021 bytes, or ZB) of data. The world's capacities to sense, transmit, store, and process information need to grow three orders of magnitude, while maintain an energy consumption level similar to that of the year 2010. In other words, we need to produce thousand-fold improvement in performance per watt. To face this challenge, in 2012 the Chinese Academy of Sciences launched a 10-year strategic priority research initiative called the Next Generation Information and Communication Technology initiative (the NICT initiative). A research thrust of the NICT program is the Cloud-Sea Computing Systems project. The main idea is to augment conventional cloud computing by cooperation and integration of the cloud-side systems and the sea-side systems, where the "sea-side" refers to an augmented client side consisting of human facing and physical world facing devices and subsystems. The Cloud-Sea Computing Systems project consists of four research tasks: a new computing model called REST 2.0 which extends the REST (representational state transfer) architectural style of Web computing to cloud-sea computing, a three-tier storage system architecture capable of managing ZB of data, a billion-thread datacenter server with high energy effciency, and an elastic processor aiming at energy effciency of one trillion operations per second per watt. This special section contains 12 papers produced by the Cloud-Sea Computing Systems project team, presenting research results relating to sensing and REST 2.0, the elastic processor, the hyperparallel server, and the cloud-sea storage.Abstract: We are entering a new era of computing, characterized by the need to handle over one zettabyte (1021 bytes, or ZB) of data. The world's capacities to sense, transmit, store, and process information need to grow three orders of magnitude, while maintain an energy consumption level similar to that of the year 2010. In other words, we need to produce thousand-fold improvement in performance per watt. To face this challenge, in 2012 the Chinese Academy of Sciences launched a 10-year strategic priority research initiative called the Next Generation Information and Communication Technology initiative (the NICT initiative). A research thrust of the NICT program is the Cloud-Sea Computing Systems project. The main idea is to augment conventional cloud computing by cooperation and integration of the cloud-side systems and the sea-side systems, where the "sea-side" refers to an augmented client side consisting of human facing and physical world facing devices and subsystems. The Cloud-Sea Computing Systems project consists of four research tasks: a new computing model called REST 2.0 which extends the REST (representational state transfer) architectural style of Web computing to cloud-sea computing, a three-tier storage system architecture capable of managing ZB of data, a billion-thread datacenter server with high energy effciency, and an elastic processor aiming at energy effciency of one trillion operations per second per watt. This special section contains 12 papers produced by the Cloud-Sea Computing Systems project team, presenting research results relating to sensing and REST 2.0, the elastic processor, the hyperparallel server, and the cloud-sea storage.
-
Keywords:
- billion-thread server /
- cloud-sea computing /
- cloud-sea storage /
- elastic processor /
- REST 2.0
-
-
[1] Gantz J, Reinsel D. The digital universe in 2020: Big data, bigger digital shadows, and biggest growth in the far east. December 2012. http://idcdocserv.com/1414, Feb. 2014.
[2] Hilbert M, López P. The world's technological capacity to store, communicate, and compute information. Science, 2011, 332(6025): 60-65.
[3] The GreenTouch Consortium, GreenTouch Green Meter re-search study: Reducing the net energy consumption in communications networks by up to 90% by 2020, June 2013. http://www.greentouch.org/index.php?page=green-meter-research, Feb. 2014.
[4] Xu Z, Li G. Computing for the masses. Communications of the ACM, 2011, 54(10): 129-137.
[5] Xu Z, Tu D. Three new concepts of future computer science. Journal of Computer Science and Technology, 2011, 26(4): 616-624.
[6] Derler P, Lee E A, Vincentelli A S. Modeling cyberphysical systems. Proceedings of the IEEE, 2012, 100(1): 13-28.
[7] von Ahn L, Maurer B, McMillen C, Abraham D, Blum M. reCAPTCHA: Human-based character recognition via Web security measures. Science, 2008, 321(5895): 1465-1468.
[8] Trushkowsky B, Kraska T, Franklin M J, Sarkar P. Crowd-sourced enumeration queries. In Proc. Int. Conf. Data Engineering, April 2013, pp.673-684.
[9] Fielding R T, Taylor R N. Principled design of the mod-ern Web architecture. ACM Trans. Internet Technol, 2002, 2(2):115-150.
[10] Jiang M. Urbanization meets informatization: A great oppor-tunity for China's development. Informatization Construc-tion, 2010, 6: 8-9. (In Chinese)
[11] Xu Z. How much power is needed for a billion-thread high-throughput server? Frontiers of Computer Science, 2012, 6(4): 339-346.
计量
- 文章访问数: 59
- HTML全文浏览量: 0
- PDF下载量: 1994
下载:
