Toward Cloud Computing QoS Architecture: Analysis of Cloud Systems and Cloud Services

M.H. Ghahramani; MengChu Zhou; Chi Tin Hon

Volume 4 Issue 1

Jan. 2017

IEEE/CAA Journal of Automatica Sinica

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M.H. Ghahramani, MengChu Zhou and Chi Tin Hon, "Toward Cloud Computing QoS Architecture: Analysis of Cloud Systems and Cloud Services," IEEE/CAA J. Autom. Sinica, vol. 4, no. 1, pp. 6-18, Jan. 2017.

Citation:

M.H. Ghahramani, MengChu Zhou and Chi Tin Hon, "Toward Cloud Computing QoS Architecture: Analysis of Cloud Systems and Cloud Services," IEEE/CAA J. Autom. Sinica, vol. 4, no. 1, pp. 6-18, Jan. 2017.

M.H. Ghahramani, MengChu Zhou and Chi Tin Hon, "Toward Cloud Computing QoS Architecture: Analysis of Cloud Systems and Cloud Services," IEEE/CAA J. Autom. Sinica, vol. 4, no. 1, pp. 6-18, Jan. 2017.

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Toward Cloud Computing QoS Architecture: Analysis of Cloud Systems and Cloud Services

1.
Institute of Systems Engineering, Macau University of Science and Technology, Macau 999078, China
2.
Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
3.
School of Management, Fudan University, Shanghai 200433, China

Funds:

This work was supported by Fundo para o Desenvolvimento das Ciencias e da Tecnologia (FDCT) 119/2014/A3

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Author Bio:
Mohammad Hossein Ghahramani obtained the B.S.degree and M.S.degree in information technology engineering from Amirkabir University of Technology-Tehran Polytechnic, Iran.He was the technical manager of Information Center of Institute for Research in Fundamental Sciences from 2008 to 2014.He is currently working toward the Ph.D. degree at Macau University of Science and Technology. His research interests are focused on big data analysis and application of cloud computing.(e-mail:sphr.ghahramani@gmail.com)

Chi Tin Hon received his Ph.D.degree in management science and engineering from South China University of Technology, Guangzhou, China in 2008, did his postdoc study in management science and engineering from Fudan University, Shanghai, China in 2013, and has been visiting researcher of Laboratory for Discrete Event Systems, New Jersey Institute of Technology (NJIT), Newark, NJ in 2015. His research interests are in system engineering, information security, eBusiness and big data.His patent and technology application has been awarded for APICTA Merit Award in 2014 and 2015 and he received Macau Science and Technology Invention Award in 2012 and 2016.He is a Senior Member of IEEE.(e-mail:cthon@ieee.org)
Corresponding author: MengChu Zhou (S88-M90-SM93-F03) received his B.S.degree in control engineering from Nanjing University of Science and Technology, Nanjing, China in 1983, M.S.degree in automatic control from Beijing Institute of Technology, Beijing, China in 1986, and Ph.D.degree in computer and systems engineering from Rensselaer Polytechnic Institute, Troy, NY in 1990.He joined New Jersey Institute of Technology (NJIT), Newark, NJ in 1990, and is now a distinguished professor of electrical and computer engineering.His research interests are in Petri nets, internet of things, big data, web services, manufacturing, transportation, and energy systems.He has over 680 publications including 12 books, 360+ journal papers (260+in IEEE Transactions), and 28 book-chapters.He is the founding editor of IEEE Press Book Series on Systems Science and Engineering.He is a recipient of Humboldt Research Award for US Senior Scientists, Franklin V.Taylor Memorial Award and the Norbert Wiener Award from IEEE Systems, Man and Cybernetics Society.He is a life member of Chinese Association for Science and Technology-USA and served as its president in 1999.He is a fellow of International Federation of Automatic Control (IFAC) and American Association for the Advancement of Science (AAAS).Corresponding author of this paper.(e-mail:zhou@njit.edu)
Received Date: 2016-07-23
Accepted Date: 2016-10-28

Abstract

Abstract

Cloud can be defined as a new computing paradigm that provides scalable, on-demand, and virtualized resources for users. In this style of computing, users can access a shared pool of computing resources which are provisioned with minimal management efforts of users. Yet there are some obstacles and concerns about the use of clouds. Guaranteeing quality of service (QoS) by service providers can be regarded as one of the main concerns for companies tending to use it. Service provisioning in clouds is based on service level agreements representing a contract negotiated between users and providers. According to this contract, if a provider cannot satisfy its agreed application requirements, it should pay penalties as compensation. In this paper, we intend to carry out a comprehensive survey on the models proposed in literature with respect to the implementation principles to address the QoS guarantee issue.
- Cloud computing,
- quality of service (QoS),
- service level agreements (SLA),
- system-of-systems (SoS)

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References(101)

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Toward Cloud Computing QoS Architecture: Analysis of Cloud Systems and Cloud Services

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