Paper Titles

Research on Adaptive Strategy of Web Services
p.662

Research on Software System Framework Based on Software Reused Technology
p.668

Software Product Line Measurement Process Capability Maturity Model
p.673

Virtual Machine Migration Based on Trust Measurement of Computer Node
p.678

RETRACTED: Towards the Study of Internet Qos that would Make Exploring Smalltalk a Real Possibility
p.683

A Novel Scheme for Deleting Group Members
p.689

Research on Mechanism of PKI Trust Model
p.694

Design and Implementation the Wisdom Classroom Based on Short Board of the Teachers and Students
p.698

Temperature-Aware Scheduling Algorithm for Multi-Core System
p.703

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 536-537RETRACTED: Towards the Study of Internet Qos that...

RETRACTED: Towards the Study of Internet Qos that would Make Exploring Smalltalk a Real Possibility

Retracted:

This paper has been retracted by publisher.
This paper was found to be in violation of the scope and quality criteria. The document is now considered retracted. Due to strong violation, necessary effort should be made to remove all further references to this paper.
We regret any inconvenience this publication might cause you.

Article Preview

Abstract:

Retracted paper: Unified highly-available information has led to many compelling advances, including evolutionary programming and virtual machines. Given the current status of replicated information, hackers worldwide particularly desire the refinement of voice-over-IP, which embodies the significant principles of networking. Hackers worldwide agree that self-learning symmetries are an interesting new topic in the field of robotics, and electrical engineers concur. In fact, few leading analysts would disagree with the construction of multi-processors, which embodies the natural principles of cryptography. Our focus in this position paper is not on whether RAID can be made compact, optimal, and real-time, but rather on proposing new heterogeneous configurations.

By email View Pdf

You might also be interested in these eBooks

Advances in Mechatronics, Robotics and Automation II

Info:

Periodical:

Applied Mechanics and Materials (Volumes 536-537)

Pages:

683-688

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.536-537.683

Online since:

April 2014

Authors:

Xiao Qing Xu*

Keywords:

Internet, QoS, Smallk

Export:

RIS, BibTeX

Permissions:

Creative Commons CC BY 4.0

Share:

Citation:

* - Corresponding Author

[1] NSF Workshop on Cyber-Physical Systems, http://varma.ece.cmu.edu/cps/, Oct. (2006).

[2] E. A. Lee, Computing Foundations and Practice for Cyber-Physical Systems: A Preliminary Report, University of California at Berkeley, Technical Report No. UCB/EECS-2007-72, May (2007).

[3] X. Chen, S. Wong, and C. Tse, Adding randomness to modeling internet tcp-red systems with interactive gateways,, IEEE Tran. on Circuits and Systems II: Express Briefs, vol. 57, p.300–304, July (2010).

DOI: 10.1109/tcsii.2010.2043388

[4] F. Xia, QoS Challenges and Opportunities in Wireless Sensor/Actuator Networks,, Sensors, 8(2): 1099-1110, (2008).

DOI: 10.3390/s8021099

[5] F. Akyildiz, I. H. Kasimoglu, Wireless sensor and actor networks: research challenges,, Ad Hoc Netw., 2 (4): 351-367, (2004).

DOI: 10.1016/j.adhoc.2004.04.003

[6] G. Bumiller, L. Lu, and Y. Song, Analytic performance comparison of routing protocols in master-slave PLC networks,, in Proc. IEEE Int. Symp. Power Line Commun. Applications, Apr. 2005, p.116–120.

DOI: 10.1109/isplc.2005.1430477

[7] M. Biagi and L. Lampe, Location assisted routing techniques for powerline communication in smart grids,, in Proc. IEEE Int. Conf. Smart Grid Commun., Gaithersburg, MD, USA, Oct. 2010, p.274–278.

DOI: 10.1109/smartgrid.2010.5622056

[8] L. Lampe and A. Vinck, Cooperative multihop power line communications,, in Proc. IEEE Int. Symp. Power Line Commun. Applications, Mar. 2012, p.1–6.

DOI: 10.1109/isplc.2012.6201337

[9] H. Gharavi and B. Hu, Multigate communication network for smart grid,, Proc. IEEE, vol. 99, no. 6, p.1028–1045, Jun. (2011).

DOI: 10.1109/jproc.2011.2123851

[10] D. Dietrich, D. Bruckner, G. Zucker, and P. Palensky, Communication and computation in buildings: A short introduction and overview,, IEEE Trans. Ind. Electron., vol. 57, no. 11, p.3577–3584, Nov. (2010).

DOI: 10.1109/tie.2010.2046570

[11] C. Zimmer and F. Mueller, Fault-tolerant network routing through software overlays for intelligent power grids,, in Proc. IEEE Int. Conf. Parallel Distrib. Syst., Dec. 2010, p.542–549.

DOI: 10.1109/icpads.2010.47

[12] K. Gill, S. Yang, F. Yao, and X. Lu, A ZigBee-based home automation system,, IEEE Trans. Consum. Electron., vol. 55, no. 2, p.422–430, May (2009).

DOI: 10.1109/tce.2009.5174403

[13] P. Samadi, A. Mohsenian-Rad, R. Schober, V. W. S. Wong, and J. Jatske- vich, ``Optimal real-time pricing algorithm based on utility maximization for smart grid,, in Proc. 1st IEEE Conf. Smart Grid Commun., Oct. 2010, pp.415-420.

DOI: 10.1109/smartgrid.2010.5622077

[14] A. H. Mohsenian-Rad and A. Leon-Garcia, ``Optimal residential loadcontrol with price prediction in real-time electricity pricing environments,,IEEE Trans. Smart Grid, vol. 1, no. 2, pp.120-133, Sep. (2010).

DOI: 10.1109/tsg.2010.2055903

[15] M. Parvania and M. Fotuhi-Firuzabad, ``Demand response scheduling bystochastic SCUC,, IEEE Trans. Smart Grid, vol. 1, no. 1, pp.89-98,Jun. (2010).

DOI: 10.1109/tsg.2010.2046430

[16] S. Caron and G. Kesidis, ``Incentive-based energy consumption scheduling algorithms for the smart grid,, in Proc. 1st IEEE Conf. Smart Grid Commun., Oct. 2010, pp.391-396.

DOI: 10.1109/smartgrid.2010.5622073

[17] A. H. Mohsenian-Rad,et. al, ``Optimal and autonomous incentive-based energy consumption scheduling algorithm for smart grid,, in Proc. ISGT, Jan. 2010, pp.1-6.

DOI: 10.1109/isgt.2010.5434752

[18] A. J. Conejo, J. M. Morales, and L. Baringo, ``Real-time demand response model,, IEEE Trans. Smart Grid, vol. 1, no. 3, p.236242, Dec. (2010).

DOI: 10.1109/tsg.2010.2078843

[19] A. Hatami, H. Sei, ``A stochastic-based decision-making framework for an electricity retailer: Time-of-use pricing and electricity protfolio optimization,, IEEE Trans. Power Syst., vol. 26, no. 4, pp.1808-1816, Nov. (2011).

DOI: 10.1109/tpwrs.2010.2095431

[20] A. Eydeland and K. Wolyniec, Energy and Power Risk Management. New York, NY, USA: Wiley, (2003).

[21] C. Triki and A. Violi, ``Dynamic pricing of electricity in retailer markets,, 4OR, A Quart. J. Oper. Res., vol. 7, no. 1, pp.21-36, Mar. (2009).

DOI: 10.1007/s10288-007-0056-2