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Quality of Service and Service Level Agreements for Cloud Environments: Issues and Challenges

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Cloud Computing

Part of the book series: Computer Communications and Networks ((CCN))

Abstract

The increasing use of Cloud computing makes the development of high-quality Cloud-based applications a vital research area. Cloud computing, which provides inexpensive computing resources on the pay-as-you-go basis, is promptly gaining momentum as a substitute for traditional information technology (IT)-based organizations. As more and more users migrate their applications to Cloud environments, service level agreements (SLAs) between clients and Cloud providers become a key element to consider. Due to the dynamic nature of the Cloud, endless supervision of quality of service (QoS) attributes is necessary to honor the SLAs. Thus, Cloud computing faces the challenge of QoS, especially in relation to how a service provider can ensure appropriate QoS for its Cloud services. QoS is an inherent element, part of service-oriented architecture (SOA), to direct nonfunctional quality attributes of a service, such as the response time, price, or the supported security rules. Consequently, there is a requirement to grow architectures in order to respond correctly to the QoS requirements. The architecture should be able to change dynamically the amount of resources made available to the applications it hosts. Optimal resource utilization should be attained by providing (and maintaining at run time) each hosted application with the number of resources which is adequate to guarantee that the application SLA will not be violated. This chapter reflects the essential perceptions behind the QoS provision in the Cloud, identifies current and innovative quality attributes based on customers’ desires associated with SLA and identifies metrics to measure the deviation of QoS from predictables, with possible resolution in the outline of architecture for spontaneous supervision of QoS without violation of SLA. The existing intent of Cloud SLAs is inspected with a focus on QoS and customer requirements. Further, foremost research problems and scientific challenges in Cloud SLAs have been considered with possible reasons. Autonomic management architecture for dynamic provisioning of resources based on users QoS requirements to maximize efficiency and automatic fulfillment of SLA has also been proposed.

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References

  1. Ayadi I, Simoni N, Diaz G (2013) QoS-aware component for Cloud computing. In: ICAS 2013, the ninth international conference on autonomic and autonomous systems (pp 14–20)

    Google Scholar 

  2. Bonvin N, Papaioannou TG, Aberer K (2011) Autonomic sla-driven provisioning for Cloud applications. In: Cluster, Cloud and Grid computing (CCGrid), 2011 11th IEEE/ACM international symposium on IEEE, pp 434–443

    Google Scholar 

  3. Breskovic I, Maurer M, Emeakaroha VC, Brandic I, Dustdar S (Dec 2011) Cost-efficient utilization of public sla templates in autonomic Cloud markets. In: Utility and Cloud computing (UCC), 2011 fourth IEEE international conference on IEEE, pp 229–236

    Google Scholar 

  4. Buyya R, Garg SK, Calheiros RN (2011) SLA-oriented resource provisioning for Cloud computing: challenges, architecture, and solutions. In: Cloud and Service computing (CSC), 2011 international conference on IEEE, pp 1–10

    Google Scholar 

  5. Buyya R, Calheiros RN, Li X (2012) Autonomic Cloud computing: open challenges and architectural elements. In: Emerging applications of information technology (EAIT), 2012 third international conference on IEEE, pp 3–10

    Google Scholar 

  6. Cardellini V, Casalicchio E, Lo Presti F, Silvestri L (2011) Sla-aware resource management for application service providers in the Cloud. In: Network Cloud computing and applications (NCCA), 2011 first international symposium on IEEE, pp 20–27

    Google Scholar 

  7. Casalicchio E, Silvestri L (2011) Architectures for autonomic service management in Cloud-based systems. In: Computers and communications (ISCC), 2011 IEEE symposium on IEEE, pp 161–166

    Google Scholar 

  8. Casalicchio E, Silvestri L (2013) Mechanisms for SLA provisioning in Cloud-based service providers. Computer Networks. 57(3):795–810

    Google Scholar 

  9. Chazalet A, Dang Tran F, Deslaugiers M, Exertier F, Legrand J (2010) Self-scaling the Cloud to meet service level agreements. In: Cloud computing 2010, the first international conference on Cloud computing, GRIDs, and virtualization, pp 116–121

    Google Scholar 

  10. CIO http://www.cio.com.au. Accessed 26 Nov 2013

  11. Dillon T, Wu C, Chang E (2010) Cloud computing: issues and challenges. In: Advanced information networking and applications (AINA), 2010 24th IEEE international conference on IEEE, pp 27–33

    Google Scholar 

  12. Duong TNB, Li X, Goh RSM, Tang X, Cai W (2012) QoS-aware revenue-cost optimization for latency-sensitive services in IaaS Clouds. In: Distributed simulation and real time applications (DS-RT), 2012 IEEE/ACM 16th international symposium on IEEE, pp 11–18

    Google Scholar 

  13. Emeakaroha VC, Brandic I, Maurer M, Dustdar S (2010) Low level metrics to high level SLAs-LoM2HiS framework: bridging the gap between monitored metrics and SLA parameters in Cloud environments. In: High performance computing and simulation (HPCS), 2010 international conference on IEEE, pp 48–54

    Google Scholar 

  14. Emeakaroha VC, Calheiros RN, Netto MA, Brandic I, De Rose CA (2010) DeSVi: an architecture for detecting SLA violations in Cloud computing infrastructures. In: Proceedings of the 2nd international ICST conference on Cloud computing (CloudComp’10)

    Google Scholar 

  15. Emeakaroha VC, Netto MA, Calheiros RN, Brandic I, Buyya R, De Rose, CA (2012) Towards autonomic detection of sla violations in Cloud infrastructures. Future Gener Comp Syst 28(7):1017–1029

    Article  Google Scholar 

  16. Garg SK, Gopalaiyengar SK, Buyya R (2011) SLA-based resource provisioning for heterogeneous workloads in a virtualized Cloud datacenter. In: Algorithms and architectures for parallel processing. Springer, Berlin, pp 371–384

    Google Scholar 

  17. Goiri Í, Julià F, Fitó JO, Macías M, Guitart J (2010) Resource-level QoS metric for CPU-based guarantees in Cloud providers. In: Economics of Grids, Clouds, Systems, and Services, Springer, Berlin, pp 34–47

    Google Scholar 

  18. Huebscher MC, McCann JA (2008) A survey of autonomic computing—degrees, models, and applications. ACM Comput Surveys (CSUR) 40(3):1–31

    Article  Google Scholar 

  19. Kertesz A, Kecskemeti G, Brandic I (2011) Autonomic sla-aware service virtualization for distributed systems. In: Parallel, distributed and network-based processing (PDP), 2011 19th euromicro international conference on IEEE, pp 503–510

    Google Scholar 

  20. Kounev S, Nou R, Torres J (2007). Autonomic qos-aware resource management in grid computing using online performance models. In: Proceedings of the 2nd international conference on performance evaluation methodologies and tools. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), pp 1–10

    Google Scholar 

  21. Kumar S, Goudar RH (2012) Cloud computing—research issues, challenges, architecture, platforms and applications: a survey. Int J Future Comput Commun 1(4):356–360

    Article  Google Scholar 

  22. Li J, Chinneck J, Woodside M., Litoiu M, Iszlai, G (2009) Performance model driven QoS guarantees and optimization in Clouds. In: Software engineering challenges of Cloud computing, 2009. CLOUD’09. ICSE workshop on IEEE, pp 15–22

    Google Scholar 

  23. Liu X, Zhu L (2009) Design of SOA based web service systems using QFD for satisfaction of quality of service requirements. In: Web services, 2009. ICWS 2009. IEEE international conference on IEEE, pp 567–574

    Google Scholar 

  24. Lodi G, Panzieri F, Rossi D, Turrini E (2007) SLA-driven clustering of QoS-aware application servers. IEEE Trans Software Eng 33(3):186–197

    Article  Google Scholar 

  25. Maurer M, Brandic I, Sakellariou R (2011) Enacting SLAs in Clouds using rules. In: Euro-Par 2011 parallel processing, Springer, Berlin, pp 455–466

    Google Scholar 

  26. Nathuji R, Kansal A, Ghaffarkhah A (2010) Q-Clouds: managing performance interference effects for qos-aware Clouds. In: Proceedings of the 5th European conference on computer systems, ACM, pp 237–250

    Google Scholar 

  27. Ostermann S, Iosup A, Yigitbasi MN, Prodan R, Fahringer T, Epema D (2009) An early performance analysis of Cloud computing services for scientific computing. In: Proceedings of the 1st international conference on Cloud computing (CloudCom 2009), Beijing, pp 1–22

    Google Scholar 

  28. Rezaee A, Rahmani AM, Parsa S, Adabi, S (2008) A multi-agent architecture for qos support in grid environment. J Comput Sci 4(3):225–231

    Article  Google Scholar 

  29. Rosenberg F, Celikovic P, Michlmayr A, Leitner P, Dustdar S (2009) An end-to-end approach for qos-aware service composition. In: Enterprise distributed object computing conference, 2009. EDOC’09. IEEE international, IEEE, pp 151–160

    Google Scholar 

  30. Salehie M, Tahvildari L. (2005) Autonomic computing: emerging trends and open problems. ACM SIGSOFT Software Eng Notes 30(4):1–7 (ACM)

    Article  Google Scholar 

  31. Singh S, Chana I (2012) Cloud based development issues: a methodical analysis. Int J Cloud Comput Services Sci (IJ-CLOSER) 2(1):73–84

    Article  Google Scholar 

  32. Singh S, Chana I (2013) Advance billing and metering architecture for infrastructure as a service. Int J Cloud Comput Services Sci (IJ-CLOSER) 2(2):123–133

    Article  Google Scholar 

  33. Theilmann W, Happe J, Kotsokalis C, Edmonds A, Kearney K, Lambea J (2010) A reference architecture for multi-level sla management. J Internet Eng 4(1):289–298

    Google Scholar 

  34. Van HN, Tran, FD, Menaud JM (2009) SLA-aware virtual resource management for Cloud infrastructures. In: Computer and information technology, 2009. CIT’09. Ninth IEEE international conference on Vol. 1, IEEE, pp 357–362

    Google Scholar 

  35. Xiao J, Boutaba R (2005) QoS-aware service composition and adaptation in autonomic communication. IEEE J Selected Areas Commun 23(12):2344–2360

    Article  Google Scholar 

  36. Xu M, Cui L, Wang H, Bi Y (2009) A multiple QoS constrained scheduling strategy of multiple workflows for Cloud computing. In: Parallel and distributed processing with applications, 2009 IEEE international symposium on IEEE, pp 629–634

    Google Scholar 

  37. Yang F, Su S, Li Z (2008) Hybrid QoS-aware semantic web service composition strategies. Sci China Series F: Inform Sci, 51(11):1822–1840

    Article  Google Scholar 

  38. Yoo S, Kim S (2013) SLA-aware adaptive provisioning method for hybrid workload application on Cloud computing platform. In: Proceedings of the international multi conference of engineers and computer scientists (Vol 1).

    Google Scholar 

  39. Zhang P, Yan Z (2011) A QoS-aware system for mobile Cloud computing. In: Cloud computing and intelligence systems (CCIS), 2011 IEEE international conference on IEEE, pp 518–522

    Google Scholar 

  40. Zhang Q, Cheng L, Boutaba R (2010) Cloud computing: state-of-the-art and research challenges. J Internet Services Appl 1(1):7–18

    Article  Google Scholar 

  41. Zheng Z, Zhang Y, Lyu MR (2010) CloudRank: a QoS-driven component ranking framework for Cloud computing. In: Reliable distributed systems, 2010 29th IEEE symposium on IEEE, pp 184–193

    Google Scholar 

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Authors and Affiliations

  1. Computer Science and Engineering Department, Thapar University, 147004, Patiala, Punjab, India

    Inderveer Chana & Sukhpal Singh

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  1. Inderveer Chana
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  2. Sukhpal Singh
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Correspondence to Sukhpal Singh .

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Editors and Affiliations

  1. University of Derby, United Kingdom

    Zaigham Mahmood

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Chana, I., Singh, S. (2014). Quality of Service and Service Level Agreements for Cloud Environments: Issues and Challenges. In: Mahmood, Z. (eds) Cloud Computing. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-10530-7_3

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  • DOI: https://doi.org/10.1007/978-3-319-10530-7_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10529-1

  • Online ISBN: 978-3-319-10530-7

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