数据中心的服务器配置,云计算数据中心服务器数量动态配置策略

本文综述了提高数据中心能效的研究进展,包括通过资源整合预测减少运营成本、动态资源分配及电力管理、工作负载对动态调整价值的影响等。介绍了实现绿色数据中心网络的一般框架,并探讨了能源感知服务器配置的成本、性能及可靠性权衡。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

[1]

Chong F T, Heck M J R, Ranganathan P, et al.. Data center energy efficiency: improving energy efficiency in data centers beyond technology scaling[J]. IEEE Design Test, 2014, 31(1): 93-104.

[2]

Li Jian, Shuang Kai, Su Sen, et al.. Reducing operational costs through consolidation with resource prediction in the cloud[C]. 12th IEEE/ACM International Symposium on Cloud and Grid Computing (CCGrid), Ottawa, Canada, 2012: 793-798.

[3]

Wang Lin, Zhang Fa, Arjona Aroca J, et al.. GreenDCN: a general framework for achieving energy efficiency in data center networks[J]. IEEE Journal on Selected Areas in Communications, 2014, 32(1): 4-15.

[4]

Urgaonkar R, Kozat U C, Igarashi K, et al.. Dynamic resource allocation and power management in virtualized data centers[C]. IEEE/IFIP Network Operations and Management Symposium (NOMS), Osaka, Japan, 2010: 479-486.

[5]

Guenter B, Jain N, and Williams C. Managing cost, performance, and reliability tradeoffs for energy-aware server provisioning[C]. 2011 Proceedings of IEEE International Conference on Computer Communications (INFOCOM), Shanghai, China, 2011: 1332-1340.

[6]

Qureshi A, Weber R, Balakrishnan H, et al.. Cutting the electric bill for internet-scale systems[J]. ACM SIGCOMM Computer Communication Review, 2009, 39(4): 123-134.

[7]

Guo Yuan-xiong and Fang Yu-guang. Electricity cost saving strategy in data centers by using energy storage[J]. IEEE Transactions on Parallel and Distributed Systems, 2013, 24(6): 1149-1160.

[8]

Rao Lei, Liu Xue, Xie Le, et al.. Minimizing electricity cost: Optimization of distributed internet data centers in a multi-electricity market environment[C]. 2010 Proceedings of IEEE International Conference on Computer Communications (INFOCOM), San Diego, CA, USA, 2010: 1-9.

[9]

Cao Jun-wei, Li Ke-qin and Stojmenovic I. Optimal power allocation and load distribution for multiple heterogeneous multi-core server processors across clouds and data centers[J]. IEEE Transactions on Computers, 2014, 63(1): 45-58.

[10]

Beloglazov A, Buyya R, Lee Y C, et al.. A taxonomy and survey of energy-efficient data centers and cloud computing systems[J]. Advances in Computers, 2011, 82(2): 47-111.

[11]

Wang Kai, Lin Ming-hong, Ciucu F, et al.. Characterizing the impact of the workload on the value of dynamic resizing in data centers[C]. ACM SIGMETRICS/Performance, London, United Kingdom, 2012: 405-406.

[12]

Rabbani M G, Zhani M F, and Boutaba R. On achieving high survivability in virtualized data centers[J]. IEICE Transactions on Communications, 2014, E97B(1): 10-18.

[13]

Liu Zhen-hua, Lin Ming-hong, Adam W, et al.. Greening geographical load balancing[C]. Proceedings ACM SIGMETRICS, San Jose, CA, USA, 2011: 233-244.

[14]

Mathew V, Sitaraman R K, and Shenoy P. Energy-aware load balancing in content delivery networks[C]. Proceedings of the ACM SIGMETRICS Joint International Conference on Measurement and Modeling of Computer Systems, Orlando, FL, USA, 2012: 954-962.

[15]

Gandhi A, Gupta V, Harchol Balter M, et al.. Optimality analysis of energy-performance trade-off for server farm management[J]. Performance Evaluation, 2010, 67(11): 1155-1171.

[16]

Lin Ming-hong, Wierman A, Andrew L L H, et al.. Dynamic right-sizing for power-proportional data centers[J]. IEEE/ACM Transactions on Networking, 2013, 21(5): 1378-1391.

[17]

Michael R G and Johnson D S. Computers and Intractability: A Guide to the Theory of NP-completeness[M]. San Francisco: WH Freeman Co., 1979: 206-218.

评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值