A. Andrieux, Web services agreement specification (ws-agreement)

T. Mohammed-alhamad, E. Dillon, and . Chang, A survey on sla and performance measurement in cloud computing, Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems -Volume Part II, OTM'11, pp.72-469, 2007.

J. [. Ali-eldin, E. Tordsson, and . Elmroth, An adaptive hybrid elasticity controller for cloud infrastructures, 2012 IEEE Network Operations and Management Symposium, pp.204-212, 2012.
DOI : 10.1109/NOMS.2012.6211900

A. Armbrust, R. Fox, A. D. Griffith, R. H. Joseph, A. Katz et al., Above the clouds : A berkeley view of cloud computing, p.18, 2009.

A. Armbrust, R. Fox, A. D. Griffith, R. Joseph, A. Katz et al., A view of cloud computing, Ion Stoica, and Matei Zaharia. A view of cloud computing, pp.50-58, 2010.
DOI : 10.1145/1721654.1721672

. Amcc-+-10-]-l, P. K. Moakar, C. Chrysanthis, S. Chung, A. Guirguis et al., Admission control mechanisms for continuous queries in the cloud, Data Engineering (ICDE), 2010 IEEE 26th International Conference on, pp.409-412, 2010.

. J. Amvbvl-+-13-]-f, F. Almeida-morais, R. Vilar-brasileiro, R. Vigolvino-lopes, W. Araujo-santos et al., Autoflex : Service agnostic auto-scaling framework for iaas deployment models Cloud slas : present and future, Cluster, Cloud and Grid Computing (CCGrid), 2013 13th IEEE/ACM International Symposium on, pp.42-49, 2012.

A. Beloglazov and R. Buyya, Adaptive threshold-based approach for energy-efficient consolidation of virtual machines in cloud data centers, Proceedings of the 8th International Workshop on Middleware for Grids, Clouds and e-Science, MGC '10, pp.1-4, 2010.
DOI : 10.1145/1890799.1890803

. F. Bbc-+-03-]-d, C. Bantz, D. Bisdikian, J. P. Challener, S. Karidis et al., Autonomic personal computing, IBM Systems Journal, vol.42, issue.1, pp.165-176, 2003.

V. C. Brandic, M. Emeakaroha, S. Maurer, S. Dustdar, A. Acs et al., Laysi : A layered approach for sla-violation propagation in self-manageable cloud infrastructures Applying reinforcement learning towards automating resource allocation and application scalability in the cloud, Proceedings of the 2010 IEEE 34th Annual Computer Software and Applications Conference Workshops, COMPSACW '10 Concurrency and Computation : Practice and Experience, pp.365-370, 2010.

G. Edward, P. Box, and G. M. Jenkins, Time Series Analysis : Forecasting and Control Market-oriented cloud computing : Vision, hype, and reality of delivering computing as the 5th utility, Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGRID '09, pp.112-113, 1994.

A. [. Bodenstaff, M. Wombacher, M. C. Reichert, and . Jaeger, Monitoring Dependencies for SLAs: The MoDe4SLA Approach, 2008 IEEE International Conference on Services Computing, pp.21-29, 2008.
DOI : 10.1109/SCC.2008.120

R. Buyya, C. Shin-yeo, S. Venugopal, J. Broberg, and I. Brandic, Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility, Cloud Computing of Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering Frédéric Desprez, and Adrian Muresan, pp.599-616, 2009.
DOI : 10.1016/j.future.2008.12.001

K. Clark, S. Fraser, J. G. Hand, E. Hansen, C. Jul et al., Live migration of virtual machines Dynamic resource allocation for shared data centers using online measurements. SIGMETRICS Perform, Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - USENIX Association. 50 [CGS03] Abhishek Chandra, Weibo Gong, and Prashant Shenoy, pp.273-286, 2003.

Y. Chen, S. Iyer, X. Liu, D. Milojicic, and A. Sahai, Translating Service Level Objectives to lower level policies for??multi-tier services, Cluster Computing, vol.12, issue.3, pp.299-311, 2008.
DOI : 10.1007/s10586-008-0059-6

Y. Chen, A. Sahai, S. Iyer, X. Liu, D. Milojicic-bossche et al., Systematically translating service level objectives into design and operational policies for multi-tier applications Online cost-efficient scheduling of deadline-constrained workloads on hybrid clouds, <ce :title>Special Section : Utility and Cloud Computing</ce :title>, pp.47973-985, 2008.

B. Desai and W. Currie, Application service providers, Proceedings of the 5th international conference on Electronic commerce , ICEC '03, pp.174-180, 2003.
DOI : 10.1145/948005.948028

S. [. Dutta, A. Gera, B. Verma, and . Viswanathan, SmartScale: Automatic Application Scaling in Enterprise Clouds, 2012 IEEE Fifth International Conference on Cloud Computing, pp.221-228, 2012.
DOI : 10.1109/CLOUD.2012.12

S. Xavier-dutreilh, O. Kirgizov, J. Melekhova, N. Malenfant, I. Rivierre et al., Using Reinforcement Learning for BIBLIOGRAPHIE Autonomic Resource Allocation in Clouds : Towards a Fully Automated Workflow The Seventh International Conference on Autonomic and Autonomous Systems A novel approach for scheduling service request in cloud with trust monitor, ICAS 2011 Signal Processing, Communication , Computing and Networking Technologies (ICSCCN), 2011 International Conference on, pp.67-74, 2011.

P. David, T. Ledoux, M. Léger, and T. Coupaye, Fpath and fscript : Language support for navigation and reliable reconfiguration of fractal architectures. annals of telecommunications annales des télécommunications, pp.45-63, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00468474

[. Modica, V. Regalbuto, O. Tomarchio, L. , V. Jr et al., Dynamic renegotiations of sla in service composition scenarios Learning based opportunistic admission control algorithm for mapreduce as a service Selfmanagement of cloud applications and infrastructure for energy optimization Selfmanagement of cloud applications and infrastructure for energy optimization, Software Engineering and Advanced ApplicationsDMV10] Jaideep Dhok, Nitesh Maheshwari, and Vasudeva Varma Proceedings of the 3rd India software engineering conference, ISEC '10, pp.359-366, 2007.

. Drm-+-10-]-x, N. Dutreilh, A. Rivierre, J. Moreau, I. Malenfant et al., From data center resource allocation to control theory and back, 2010 IEEE 3rd International Conference on Waeldrich et al. WS-Agreement Negotiation Version 1.0. Open Grid Forum, pp.410-417, 2010.

J. Meegan, Practical Guide to Cloud Service Level Agreements Version 1.0. Cloud Standards Customer Council, 2012. 36 [ea13] K. Kritikos et al. A survey on service quality description, ACM Computing Surveys, 2013.

I. [. Emeakaroha, M. Brandic, S. Maurer, and . Dustdar, Low level Metrics to High level SLAs - LoM2HiS framework: Bridging the gap between monitored metrics and SLA parameters in cloud environments, 2010 International Conference on High Performance Computing & Simulation, pp.48-54, 2010.
DOI : 10.1109/HPCS.2010.5547150

C. Vincent, T. C. Emeakaroha, M. A. Ferreto, I. Netto, C. A. Brandic et al., Casvid : Application level monitoring for sla violation detection in clouds, Proceedings of the 2012 IEEE 36th Annual Computer Software and Applications Conference, pp.499-508

S. Garfinkel, H. Gong, X. Gu, and J. Wilkes, Press : Predictive elastic resource scaling for cloud systems, Network and Service Management (CNSM), 2010 International Conference on Shamsollah Ghanbari and Mohamed Othman. A priority based job scheduling algorithm in cloud computing. Procedia Engineering International Conference on Advances Science and Contemporary Engineering 2012, pp.152-161, 1999.

]. R. Gol73, . Goldberggsli11-]-h, B. Ghanbari, M. Simmons, G. Litoiu et al., Architecture of virtual machines Exploring alternative approaches to implement an elasticity policy, Proceedings of the workshop on virtual computer systems Cloud Computing (CLOUD) IEEE International Conference on, pp.74-112, 1973.

I. Irfan-ul-haq, E. Brandic, and . Schikuta, Sla validation in layered cloud infrastructures, Proceedings of the 7th international conference on Economics of grids, clouds, systems, and services, pp.153-164, 2010.

I. Irfan-ul-haq, E. Brandic, and . Schikuta, SLA Validation in Layered Cloud Infrastructures, pp.153-164, 2010.

R. Han, L. Guo, M. M. Ghanem, and Y. Guo, Lightweight Resource Scaling for Cloud Applications, 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012), pp.644-651, 2012.
DOI : 10.1109/CCGrid.2012.52

J. Hu, J. Gu, G. Sun, and T. Zhao, A scheduling strategy on load balancing of virtual machine resources in cloud computing environment, Parallel Architectures Third International Symposium on, pp.89-96, 2010.

R. J. Hyndman and A. B. Koehler, Another look at measures of forecast accuracy, International Journal of Forecasting, vol.22, issue.4, pp.679-688, 2006.
DOI : 10.1016/j.ijforecast.2006.03.001

[. Hasselmeyer, B. Koller, L. Schubert, and P. Wieder, Towards SLA-Supported Resource Management, High Performance Computing and Communications, pp.743-752, 2006.
DOI : 10.1007/11847366_77

C. Markus, J. A. Huebscher, and . Mccann, A survey of autonomic computingdegrees, models, and applications, ACM Comput. Surv, vol.407, issue.3, pp.1-728, 1928.

E. Hasan, A. Magana, L. Clemm, S. L. Tucker, and . Gudreddi, Integrated and autonomic cloud resource scaling, 2012 IEEE Network Operations and Management Symposium, pp.1327-1334, 2012.
DOI : 10.1109/NOMS.2012.6212070

[. Horn, Autonomic Computing : IBM's Perspective on the State of Information Technology, p.183, 2001.

I. Horrocks, P. Patel-schneider, and F. Van-harmelen, From SHIQ and RDF to OWL: the making of a Web Ontology Language, Web Semantics : Science, Services and Agents on the World Wide Web, p.36, 2003.
DOI : 10.1016/j.websem.2003.07.001

L. Hui, T. Wolfgang, and J. Happe, Sla translation in multilayered service oriented architectures : Status and challenges Adaptive resource provisioning for read intensive multi-tier applications in the cloud, Future Gener. Comput. Syst, vol.27, issue.59, pp.43871-879, 2009.

L. [. Irwin, J. S. Grit, and . Chase, Balancing risk and reward in a market-based task service, Proceedings. 13th IEEE International Symposium on High performance Distributed Computing, 2004., pp.160-169, 2004.
DOI : 10.1109/HPDC.2004.1323519

[. Islam, J. Keung, K. Lee, and A. Liu, Empirical prediction models for adaptive resource provisioning in the cloud, Future Generation Computer Systems, vol.28, issue.1, pp.155-162, 2012.
DOI : 10.1016/j.future.2011.05.027

G. Jung, K. R. Joshi, M. A. Hiltunen, R. D. Schlichting, and C. Pu, Generating Adaptation Policies for Multi-tier Applications in Consolidated Server Environments, 2008 International Conference on Autonomic Computing, pp.23-32, 2008.
DOI : 10.1109/ICAC.2008.21

V. Li-jie-jin, V. Machiraju, A. Machiraju, A. Sahai, and . Sahai, Analysis on service level agreement of web services, p.13, 2002.

O. Jeffrey, D. M. Kephart, E. Kalyvianaki, T. Charalambous, and S. Hand, The vision of autonomic computing Self-adaptive and self-configured cpu resource provisioning for virtualized servers using kalman filters, Proceedings of the 6th international conference on Autonomic computing, ICAC '09, pp.41-50, 2003.

K. Konstanteli, T. Cucinotta, K. Psychas, T. Varvarigou, S. Khatua et al., Admission control for elastic cloud services Optimizing the utilization of virtual resources in cloud environment, Cloud Computing (CLOUD), 2012 IEEE 5th International Conference on Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS) IEEE International Conference on, pp.41-48, 2010.

A. Keller and H. Ludwig, The wsla framework : Specifying and monitoring service level agreements for web services, Journal of Network and Systems Management, vol.11, issue.1, pp.57-81, 2003.
DOI : 10.1023/A:1022445108617

[. Karaenke, A. Micsik, and S. Kirn, Adaptive SLA Management along Value Chains for Service Individualization, Forum American Bar Association, pp.217-228, 2009.

P. Karanke and K. I. Stefan, Service Level Agreements : An Evaluation from a Business Application Perspective, Proceedings eChallenges e-2007 Conference, p.44, 2007.

K. Vibhore-kumar, S. Schwan, Y. Iyer, A. Chen, . T. Sahaiktk10-]-k et al., A statespace approach to sla based management Sla* ; : An abstract syntax for service level agreements, Network Operations and Management Symposium Grid Computing (GRID) 11th IEEE/ACM International Conference on, pp.192-199, 2008.

K. Konstanteli, T. Varvarigou, and T. Cucinotta, Probabilistic admission control for elastic cloud computing, 2011 IEEE International Conference on Service-Oriented Computing and Applications (SOCA), pp.1-4, 2011.
DOI : 10.1109/SOCA.2011.6166251

[. Kotsokalis, R. Yahyapour, M. A. , and R. Gonzalez, SAMI: The SLA Management Instance, 2010 Fifth International Conference on Internet and Web Applications and Services, pp.303-308, 2010.
DOI : 10.1109/ICIW.2010.51

C. Harold, S. Lim, J. S. Babu, and . Chase, Automated control for elastic storage, Proceedings of the 7th international conference on Autonomic computing, ICAC '10, pp.1-10, 2010.

C. Harold, S. Lim, J. S. Babu, S. S. Chase, and . Parekh, Automated control in cloud computing : challenges and opportunities Adaptive admission control of distributed cloud services, Proceedings of the 1st workshop on Automated control for datacenters and clouds, ACDC '09 Network and Service Management (CNSM), 2010 International Conference on, pp.13-18, 2009.

A. Keller, A. Dan, R. P. King, H. Ludwig, and R. Franck, Web service level agreement (wsla) language specification. IBM, pp.41-72, 2003.

X. Lu and Z. Gu, A load-adapative cloud resource scheduling model based on ant colony algorithm, 2011 IEEE International Conference on Cloud Computing and Intelligence Systems, pp.296-300, 2011.
DOI : 10.1109/CCIS.2011.6045078

[. Layaida and D. Hagimont, Designing Self-adaptive Multimedia Applications Through Hierarchical Reconfiguration, Proceedings of the 5th IFIP WG 6.1 international conference on Distributed Applications and Interoperable Systems, DAIS'05, pp.95-107, 2005.
DOI : 10.1007/3-540-44763-6_13

L. , D. D. Lamanna, J. Skene, and W. Emmerich, SLAng A language for defining service level agreements. The Ninth IEEE Workshop on Future Trends of Distributed Computing Systems, Lbvs : A load balancing strategy for virtual storage Service Sciences (ICSS), 2010 International Conference on, pp.257-262, 2010.

Y. Lu, Q. Xie, G. Kliot, A. Geller, J. R. Larus et al., Join-Idle-Queue: A novel load balancing algorithm for dynamically scalable web services, Performance Evaluation, vol.68, issue.11, pp.1056-1071, 2011.
DOI : 10.1016/j.peva.2011.07.015

X. [. Lama and . Zhou, Autonomic Provisioning with Self-Adaptive Neural Fuzzy Control for End-to-end Delay Guarantee, 2010 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, pp.151-160, 2010.
DOI : 10.1109/MASCOTS.2010.24

M. Maurer, I. Brandic, R. Sakellariou, D. A. Menasce, L. W. Dowdy et al., Enacting slas in clouds using rules Menascá and Emiliano Casalicchio Qos in grid computing Performance by Design : Computer Capacity Planning By Example, Proceedings of the 17th international conference on Parallel processing -Volume Part I, Euro-Par'11, pp.455-466, 1920.

M. Mao and M. Humphrey, Auto-scaling to minimize cost and meet application deadlines in cloud workflows, Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis on, SC '11, 2011.
DOI : 10.1145/2063384.2063449

M. Mao and M. Humphrey, A Performance Study on the VM Startup Time in the Cloud, 2012 IEEE Fifth International Conference on Cloud Computing, pp.423-430, 2012.
DOI : 10.1109/CLOUD.2012.103

R. B. Miller, Response time in man-computer conversational transactions, fall joint computer conference, part I, AFIPS '68 (Fall, part I), Proceedings of the, pp.267-277, 1968.

M. Michael, J. E. Moreira, D. Shiloach, and R. W. Wisniewski, Scale-up x Scale-out: A Case Study using Nutch/Lucene, 2007 IEEE International Parallel and Distributed Processing Symposium, pp.1-8, 2007.
DOI : 10.1109/IPDPS.2007.370631

N. Nuaimi, M. A. Mohamed, J. Nuaimi, ]. V. Al-jaroodinpf10, R. Nae et al., A survey of load balancing in cloud computing : Challenges and algorithms Cost-efficient hosting and load balancing of massively multiplayer online games Elasticity in cloud computing : What it is, and what it is not Algorithmic Game Theory, Grid Computing 11th IEEE/ACM International Conference on Proceedings of the 9th international conference on Autonomic computingOCC10] OCCI. Open cloud computing interface -infrastructureOnt13] Web Service Modeling Ontology, pp.137-142, 2007.

J. Philippe, D. Palma, F. Boyer, and O. Gruber, Self-adapting Service Level in Java Enterprise Edition, Proceedings of the 10th ACM/IFIP/USENIX International Conference on Middleware, Middleware '09, pp.1-8, 2009.
DOI : 10.1007/978-3-642-10445-9_8

URL : https://hal.archives-ouvertes.fr/hal-00949568

P. Mike, W. Papazoglou, and . Heuvel, Service oriented architectures : approaches, technologies and research issues, The VLDB Journal, vol.16, issue.3, pp.389-415, 2007.

K. Padala, . Hou, G. Kang, X. Shin, M. Zhu et al., Automated control of multiple virtualized resources, Proceedings of the fourth ACM european conference on Computer systems, EuroSys '09, pp.13-26, 2009.
DOI : 10.1145/1519065.1519068

[. Ron, P. Alikorbhj08, ]. S. Rosario, A. Benveniste, S. Haar et al., Service level agreements Probabilistic qos and soft contracts for transaction-based web services orchestrations. Services Computing, Internet NG IEEE Transactions on Handbook of Constraint Programming (Foundations of Artificial Intelligence, vol.1, issue.53, pp.13187-200, 2001.

]. Rao, X. Bu, C. Xu, L. Wang, and G. Yin, VCONF, Proceedings of the 6th international conference on Autonomic computing, ICAC '09, pp.137-146, 2009.
DOI : 10.1145/1555228.1555263

A. [. Roy, A. Dubey, and . Gokhale, Efficient Autoscaling in the Cloud Using Predictive Models for Workload Forecasting, 2011 IEEE 4th International Conference on Cloud Computing, pp.500-507, 2011.
DOI : 10.1109/CLOUD.2011.42

T. [. Rosenblum and . Garfinkel, Virtual machine monitors : current technology and future trends Mean-value analysis of closed multichain queuing networks, Computer J. ACM, vol.38, issue.115, pp.39-47, 1980.

S. Richard, A. G. Sutton, ]. B. Barto, H. Simmons, M. Ghanbari et al., Introduction to Reinforcement Learning Managing a saas application in the cloud using paas policy sets and a strategy-tree Resource allocation with a budget constraint for computing independent tasks in the cloud, Network and Service Management (CNSM) 7th International Conference on 2010 IEEE Second International Conference on, pp.137-138, 1998.

G. Spanoudakis, C. Kloukinas, and K. Mahbub, The SERENITY Runtime Monitoring Framework, Security and Dependability for Ambient Intelligence of Advances in Information Security, pp.213-237, 2009.
DOI : 10.1007/978-0-387-88775-3_13

J. E. Smith and R. Nair, The architecture of virtual machines, SPU13] Praveen S Phani and Tulasi U. A study on qos challenges in cloud computing. In International Journal Of Computers and Communications, pp.32-38, 2005.
DOI : 10.1109/MC.2005.173

]. L. Srinivasan and J. Treadwell, Cloudscale : elastic resource scaling for multi-tenant cloud systems An overview of service-oriented architecture , web services and grid computing, Proceedings of the 2nd ACM Symposium on Cloud Computing HP Software Global Business Unit, pp.1-5, 2005.

L. Bhushan, R. Sahu, and . Tiwari, A cost effective scaling approach for cloud applications Quality of service of grid computing : Resource sharing, 2012. 48 [SW07] Xian-He Sun and Ming Wu Proceedings of the Sixth International Conference on Grid and Cooperative Computing, GCC '07Tay11] Sandeep Tayal. Tasks scheduling optimization for the cloud computing systems, pp.395-402, 2007.

F. Teng and F. Magoulès, A New Game Theoretical Resource Allocation Algorithm for Cloud Computing, Advances in Grid and Pervasive Computing, pp.321-330, 2010.
DOI : 10.1007/978-3-642-13067-0_35

URL : https://hal.archives-ouvertes.fr/hal-00828259

G. Ups-+-07-]-bhuvan-urgaonkar, P. Pacifici, M. Shenoy, A. Spreitzer, and . Tantawi, Analytic modeling of multitier internet applications, ACM Trans. Web, vol.1, issue.46, p.137, 1945.

P. Usc-+-08-]-bhuvan-urgaonkar, A. Shenoy, P. Chandra, T. Goyal, and . Wood, Agile dynamic provisioning of multi-tier internet applications, ACM Trans. Auton. Adapt. Syst, vol.31, issue.1, pp.1-1, 2008.

A. Verma, P. Ahuja, and A. Neogi, pMapper: Power and Migration Cost Aware Application Placement in Virtualized Systems, Proceedings of the 9th ACM/IFIP/USENIX International Conference on Middleware, Middleware '08, pp.243-264, 2008.
DOI : 10.1109/MC.2003.1250880

A. Verma, P. Ahuja, and A. Neogi, Power-aware dynamic placement of HPC applications, Proceedings of the 22nd annual international conference on Supercomputing , ICS '08, pp.175-184, 2008.
DOI : 10.1145/1375527.1375555

]. R. Vdbvb10, K. Van-den-bossche, J. Vanmechelen, and . Broeckhove, Cost-optimal scheduling in hybrid iaas clouds for deadline constrained workloads, Cloud Computing 2010 IEEE 3rd International Conference on, pp.228-235, 2010.

A. Van-deursen, P. Klint, and J. Visser, Domain-specific languages, ACM SIGPLAN Notices, vol.35, issue.6, pp.26-36, 2000.
DOI : 10.1145/352029.352035

M. Luis, L. Vaquero, J. Rodero-merino, M. Caceres, and . Lindner, A break in the clouds : towards a cloud definition, SIGCOMM Comput. Commun. Rev, vol.39, issue.1, pp.50-55, 2008.

L. Wu and R. Buyya, Service Level Agreement (SLA) in Utility Computing Systems An availability-aware approach to resource placement of dynamic scaling in clouds, Cloud Computing (CLOUD), 2012 IEEE 5th International Conference on, pp.15-930, 2010.

P. [. Wada, J. Champrasert, K. Suzuki, . Obawkgb12-]-linlin, S. K. Wu et al., Multiobjective optimization of sla-aware service composition In Services -Part I Sla-based admission control for a software-as-a-service provider in cloud computing environments Ncryptfs : A secure and convenient cryptographic file system, Proceedings of the Annual USENIX Technical Conference, pp.368-375, 2003.

G. Wei, . Athanasiosv, Y. Vasilakos, N. Zheng, and . Xiong, A game-theoretic method of fair resource allocation for??cloud computing services, The Journal of Supercomputing, vol.21, issue.1, pp.252-269, 2010.
DOI : 10.1007/s11227-009-0318-1

L. Wang, J. Xu, M. Zhao, Y. Tu, and J. A. Fortes, Fuzzy Modeling Based Resource Management for Virtualized Database Systems, 2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, pp.32-42, 2011.
DOI : 10.1109/MASCOTS.2011.70

L. Wang, J. Xu, M. Zhao, and J. Fortes, Adaptive virtual resource management with fuzzy model predictive control, Proceedings of the 8th ACM international conference on Autonomic computing, ICAC '11, pp.191-192, 2011.
DOI : 10.1145/1998582.1998623

J. Butler, W. Theilmann, P. Wieder, and R. Yahyapour, Service level agreements for cloud computing, pp.47-71, 2011.

C. Shin, Y. , and R. Buyya, A taxonomy of market-based resource management systems for utility-driven cluster computing, Softw. Pract. Exper, vol.36, issue.13, pp.1381-1419, 2006.

Q. Zhang, L. Cheng, and R. Boutaba, Cloud computing : state-ofthe-art and research challenges, OPTIMIS SLA Framework and Term Languages for SLAs in Cloud Environment, pp.7-18, 2010.
DOI : 10.1007/978-3-319-38904-2

H. Zhao, M. Pan, X. Liu, X. Li, and Y. Fang, Optimal Resource Rental Planning for Elastic Applications in Cloud Market, 2012 IEEE 26th International Parallel and Distributed Processing Symposium, pp.808-819
DOI : 10.1109/IPDPS.2012.77

L. Zhou, B. Zheng, J. Cui, and S. Tang, Toward green service in cloud: From the perspective of scheduling, 2012 International Conference on Computing, Networking and Communications (ICNC), pp.939-943, 2012.
DOI : 10.1109/ICCNC.2012.6167563