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2017 | OriginalPaper | Chapter

1. Introduction

Authors : Yilei Zhang, Michael R. Lyu

Published in: QoS Prediction in Cloud and Service Computing

Publisher: Springer Singapore

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Abstract

This chapter provides an overview of QoS prediction in cloud and service computing, including backgrounds, related works, and organizations of this book.

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Literature
1.
N. Ahmed, M. Linderman, J. Bryant, Towards mobile data streaming in service oriented architecture, in Proceeding of SRDS’10, pp. 323–327
2.
E. Al-Masri, Q.H. Mahmoud, Investigating web services on the world wide web, in Proceedings of the 17th International Conference on World Wide Web (ACM, 2008), pp. 795–804
3.
M. Alrifai, T. Risse, Combining global optimization with local selection for efficient QoS-aware service composition, in Proceeding of International Conference on World Wide Web (WWW’09) (2009), pp. 881–890
4.
M. Alrifai, D. Skoutas, T. Risse, Selecting skyline services for QoS-based web service composition, in Proceeding of WWW’10 (2010), pp. 11–20
5.
D. Ardagna, B. Pernici, Adaptive service composition in flexible processes. IEEE Trans. Softw. Eng. 33(6), 369–384 (2007)CrossRef
6.
M. Armbrust, A. Fox, R. Griffith, A. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica et al., A view of cloud computing. Commun. ACM 53(4), 50–58 (2010)CrossRef
7.
A. Avizienis, The methodology of N-version programming, in Software Fault Tolerance (1995), pp. 23–46
8.
W. Balke, M. Wagner, Towards personalized selection of web services, in Proceeding of WWW’03 (2003)
9.
C. Bird, N. Nagappan, H. Gall, B. Murphy, P. Devanbu, Putting it all together: using socio-technical networks to predict failures, in Proceeding of ISSRE’09 (2009), pp. 109–119
10.
P. Bonatti, P. Festa, On optimal service selection, in Proceeding of WWW’05 (2005), pp. 530–538
11.
J. Breese, D. Heckerman, C. Kadie, Empirical analysis of predictive algorithms for collaborative filtering, in Proceedings of UAI’98 (1998), pp. 43–52
12.
X. Cai, M. Bain, A. Krzywicki, W. Wobcke, Y. Kim, P. Compton, A. Mahidadia, Learning collaborative filtering and its application to people to people recommendation in social networks, in Proceeding of ICDM’10 (2010), pp. 743–748
13.
V. Cardellini, E. Casalicchio, V. Grassi, F. Lo Presti, Flow-based service selection for web service composition supporting multiple QoS classes, in IEEE International Conference on Web Services (2007), pp. 743–750
14.
V. Cardellini, E. Casalicchio, V. Grassi, F. Lo Presti, R. Mirandola, QoS-driven runtime adaptation of service oriented architectures, in Proceedings of the the 7th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ACM, 2009), pp. 131–140
15.
J. Cardoso, A. Sheth, J. Miller, J. Arnold, K. Kochut, Quality of service for workflows and web service processes. Web Semant. Sci. Serv. Agents. World Wide Web 1(3), 281–308 (2004)CrossRef
16.
M. Castro, B. Liskov, Practical Byzantine fault tolerance. Oper. Syst. Rev. 33, 173–186 (1998)
17.
P. Chan, M. R. Lyu, M. Malek, Reliableweb services: methodology, experiment and modeling, in IEEE International Conference on Web Services (IEEE, 2007), pp. 679–686
18.
P.P.W. Chan, M.R. Lyu, M. Malek, Making services fault tolerant, in Service Availability (Springer, Berlin, 2006), pp. 43–61
19.
W. Chen, J. Chu, J. Luan, H. Bai, Y. Wang, E. Chang, Collaborative filtering for orkut communities: discovery of user latent behavior, in Proceeding of WWW’09 (2009), pp. 681–690
20.
X. Chen, X. Liu, Z. Huang, H. Sun, Regionknn: a scalable hybrid collaborative filtering algorithm for personalized web service recommendation, in IEEE International Conference on Web Services (IEEE, 2010), pp. 9–16
21.
R.C. Cheung, A user-oriented software reliability model. IEEE Trans. Softw. Eng. 2, 118–125 (1980)CrossRefMATH
22.
23.
A. Danak, S. Mannor, Resource allocation with supply adjustment in distributed computing systems, in Proceeding of ICDCS’10 (2010), pp. 498–506
24.
V. Deora, J. Shao, W. Gray, N. Fiddian, A quality of service management framework based on user expectations, in Proceeding of ICSOC’03 (2003), pp. 104–114
25.
M. Deshpande, G. Karypis, Item-based top-n recommendation algorithms. ACM Trans. Inf. Syst. (TOIS) 22(1), 143–177 (2004)CrossRef
26.
X. Dong, A. Halevy, J. Madhavan, E. Nemes, J. Zhang, Similarity search for web services, in Proceeding 30th International Conference on Very Large Data Bases (VLDB’04) (2004), pp. 372–383
27.
J. El Haddad, M. Manouvrier, G. Ramirez, M. Rukoz, QoS-driven selection of web services for transactional composition, in Proceeding of ICWS’08 (IEEE, 2008), pp. 653–660
28.
J. El Haddad, M. Manouvrier, M. Rukoz, Tqos: transactional and QoS-aware selection algorithm for automatic web service composition. IEEE Trans. Serv. Comput., 73–85 (2010)
29.
T. Erl, Service-oriented Architecture, vol. 8 (Prentice Hall, New York, 2005)
30.
H. Foster, S. Uchitel, J. Magee, J. Kramer, Model-based verification of web service compositions, in IEEE International Conference on Automated Software Engineering (IEEE, 2003), pp. 152–161
31.
R. Ghosh, F. Longo, V. Naik, K. Trivedi, Quantifying resiliency of IaaS cloud, in Proceeding of SRDS’10 (2010), pp. 343–347
32.
S.S. Gokhale, K.S. Trivedi, Reliability prediction and sensitivity analysis based on software architecture, in International Symposium on Software Reliability Engineering (IEEE, 2002), pp. 64–75
33.
K. Gomadam, A. Ranabahu, M. Nagarajan, A.P. Sheth, K. Verma, A faceted classification based approach to search and rank web apis, in Proceeding of 6th International Conference on Web Services (ICWS’08) (2008), pp. 177–184
34.
S. Gong, A collaborative filtering recommendation algorithm based on user clustering and item clustering. J. Softw. 5(7), 745–752 (2010)CrossRef
35.
V. Grassi, S. Patella, Reliability prediction for service-oriented computing environments. IEEE Internet Comput. 10(3), 43–49 (2006)CrossRef
36.
Y. Hao, Y. Zhang, J. Cao, WSXplorer: searching for desired web services, in Proceeding of 19th International Conference on Advanced Information System Engineering (CaiSE’07) (2007), pp. 173–187
37.
38.
T. Henzinger, A. Singh, V. Singh, T. Wies, D. Zufferey, FlexPRICE: flexible provisioning of resources in a cloud environment, in Proceeding of CLOUD’10 (2010), pp. 83–90
39.
J. Herlocker, J. Konstan, A. Borchers, J. Riedl, An algorithmic framework for performing collaborative filtering, in Proceeding of SIGIR’99 (1999), pp. 230–237
40.
T. Hofmann, Collaborative filtering via gaussian probabilistic latent semantic analysis, in Proceeding of SIGIR’03 (2003), pp. 259–266
41.
T. Hofmann, Latent semantic models for collaborative filtering. ACM Trans. Inf. Syst. (TOIS) 22(1), 89–115 (2004)CrossRef
42.
M.C. Jaeger, G. Rojec-Goldmann, G. Muhl, Qos aggregation for web service composition using workflow patterns, in IEEE International Enterprise Distributed Object Computing Conference (IEEE, 2004), pp. 149–159
43.
M. Jamali, M. Ester, Trustwalker: a random walk model for combining trust-based and item-based recommendation, in Proceeding of KDD’09 (2009), pp. 397–406
44.
Y. Jianjun, G. Shengmin, S. Hao, Z. Hui, X. Ke, A kernel based structure matching for web services search, in Proceeding of 16th International Conference on World Wide Web (WWW’07) (2007), pp. 1249–1250
45.
R. Jin, J. Chai, L. Si, An automatic weighting scheme for collaborative filtering, in Proceeding of SIGIR’04 (2004), pp. 337–344
46.
G. Jung, M. Hiltunen, K. Joshi, R. Schlichting, C. Pu, Mistral: dynamically managing power, performance, and adaptation cost in cloud infrastructures, in Proceeding of ICDCS’10 (2010), pp. 62–73
47.
K. Karta, An investigation on personalized collaborative filtering for web service selection. Honours Programme thesis, University of Western Australia, Brisbane, 2005
48.
A. Keller, H. Ludwig, The wsla framework: specifying and monitoring service level agreements for web services. J. Netw. Syst. Manag. 11(1), 57–81 (2003)CrossRef
49.
K. Kim, H. Welch, Distributed execution of recovery blocks: an approach for uniform treatment of hardware and software faults in real-time applications. IEEE Trans. Comput. 38(5), 626–636 (2002)CrossRef
50.
D. Lee, H. Seung, Learning the parts of objects by non-negative matrix factorization. Nature 401(6755), 788–791 (1999)CrossRef
51.
W. Li, J. He, Q. Ma, I. Yen, F. Bastani, R. Paul, A framework to support survivable web services, in Proceeding of IPDPS’05 (2005), p. 93b, 2005
52.
D. Liang, C.-L. Fang, C. Chen, F. Lin, Fault tolerant web service, in Tenth Asia-Pacific Software Engineering Conference (IEEE, 2003), pp. 310–319
53.
D. Liang, C.-L. Fang, S.-M. Yuan, C. Chen, G.E. Jan, A fault-tolerant object service on corba. J. Syst. Softw. 48(3), 197–211 (1999)CrossRef
54.
G. Linden, B. Smith, J. York, Amazon. com recommendations: item-to-item collaborative filtering. IEEE Internet Comput. 7(1), 76–80 (2003)CrossRef
55.
Y. Liu, A.H. Ngu, L.Z. Zeng, Qos computation and policing in dynamic web service selection, in Proceeding of 13th International Conference on World Wide Web (WWW’04) (2004), pp. 66–73
56.
A. Luckow, B. Schnor, Service replication in grids: ensuring consistency in a dynamic, failure-prone environment, in IEEE International Symposium on Parallel and Distributed Processing (IEEE, 2008), pp. 1–7
57.
H. Ludwig, A. Keller, A. Dan, R. King, R. Franck, A service level agreement language for dynamic electronic services. Electr. Commer. Res. 3(1–2), 43–59 (2003)CrossRef
58.
M. Lyu, Software Fault Tolerance, (Wiley, 1995)
59.
M. Lyu et al., Handbook of Software Reliability Engineering (1996)
60.
E.M. Maximilien, M.P. Singh, Conceptual model of web service reputation. ACM Sigmod Rec. 31(4), 36–41 (2002)CrossRef
61.
D.A. Menascé, Qos issues in web services. IEEE Internet Comput. 6(6), 72–75 (2002)CrossRef
62.
M. Merideth, A. Iyengar, T. Mikalsen, S. Tai, I. Rouvellou, P. Narasimhan, Thema: Byzantine-fault-tolerant middleware for web-service applications, in Proceeding of SRDS’05 (2005), pp. 131–140
63.
T.O. Reilly, What is Web 2.0: design patterns and business models for the next generation of software. Commun. Strateg. 65, 17 (2007)
64.
J. O’Sullivan, D. Edmond, A. Ter Hofstede, What’s in a service? Distrib. Parallel Databases 12(2–3), 117–133 (2002)CrossRefMATH
65.
M. Ouzzani, A. Bouguettaya, Efficient access to web services. IEEE Internet Comput. 8(2), 34–44 (2004)CrossRef
66.
M. Paolucci, T. Kawamura, T. R. Payne, K. P. Sycara, Semantic matching of web services capabilities, in Proceeding of 1st International Semantic Web Conference (ISWC’02), (2002), pp. 333–347
67.
P. Plebani, B. Pernici, Urbe: web service retrieval based on similarity evaluation. IEEE Trans. Knowl. Data Eng. 21(11), 1629–1642 (2009)CrossRef
68.
S. Ran, A model for web services discovery with QoS. ACM Sigecom Exch. 4(1), 1–10 (2003)CrossRef
69.
S. Rendle, L. Schmidt-Thieme, Pairwise interaction tensor factorization for personalized tag recommendation, in Proceeding of WSDM’10 (2010), pp. 81–90
70.
P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, J. Riedl, GroupLens: an open architecture for collaborative filtering of netnews, in Proceeding of CSCW’94, (1994), pp. 175–186
71.
R.H. Reussner, H.W. Schmidt, I.H. Poernomo, Reliability prediction for component-based software architectures. J. Syst. Softw. 66(3), 241–252 (2003)CrossRef
72.
S. Rosario, A. Benveniste, S. Haar, C. Jard, Probabilistic QoS and soft contracts for transaction-based web services orchestrations. IEEE Trans. Serv. Comput. 1(4), 187–200 (2008)CrossRef
73.
A. Sahai, A. Durante, V. Machiraju, Towards automated sla management for web services, Hewlett-Packard Research Report HPL-2001-310 (R. 1) (2002)
74.
R. Salakhutdinov, A. Mnih, Probabilistic matrix factorization. Adv. Neural Inf. Process. Syst. (NIPS) 20, 1257–1264 (2008)
75.
J. Salas, F. Perez-Sorrosal, M. Patiño-Martínez, R. Jiménez-Peris, WS-replication: a framework for highly available web services, in Proceeding of WWW’06 (2006), pp. 357–366
76.
N. Salatge, J. Fabre, Fault tolerance connectors for unreliable web services, in Proceeding of IEEE/IFIP International Conference on Dependable Systems and Networks (DSN’07) (2007), pp. 51–60
77.
G. T. Santos, L. C. Lung, C. Montez, Ftweb: a fault tolerant infrastructure for web services, in IEEE International EDOC Enterprise Computing Conference (IEEE, 2005), pp. 95–105
78.
B. Sarwar, G. Karypis, J. Konstan, J. Reidl, Item-based collaborative filtering recommendation algorithms, in Proceeding of WWW’01 (2001), pp. 285–295
79.
D. Serrano, M. Patiño-Martínez, R. Jiménez-Peris, B. Kemme, An autonomic approach for replication of internet-based services, in Proceeding of SRDS’08 (2008), pp. 127–136
80.
L. Shao, J. Zhang, Y. Wei, J. Zhao, B. Xie, H. Mei, Personalized QoS prediction for web services via collaborative filtering, in Proceeding of ICWS’07 (2007), pp. 439–446
81.
Y. Shi, M. Larson, A. Hanjalic, Exploiting user similarity based on rated-item pools for improved user-based collaborative filtering, in Proceeding of Recsys’09 (2009), pp. 125–132
82.
L. Si, R. Jin, Flexible mixture model for collaborative filtering. ICML 3, 704–711 (2003)
83.
P. Singla, M. Richardson, Yes, there is a correlation:-from social networks to personal behavior on the web, in Proceeding of WWW’08 (2008), pp. 655–664
84.
A. Soydan Bilgin, M. P. Singh, A daml-based repository for QoS-aware semantic web service selection, in IEEE International Conference on Web Services (IEEE, 2004), pp. 368–375
85.
R.M. Sreenath, M.P. Singh, Agent-based service selection. Web Semant. Sci. Serv. Agents. World Wide Web 1(3), 261–279 (2004)CrossRef
86.
N. Thio, S. Karunasekera, Automatic measurement of a QoS metric for web service recommendation, in Software Engineering Conference (IEEE, 2005), pp. 202–211
87.
K. Tsakalozos, M. Roussopoulos, V. Floros, A. Delis, Nefeli: hint-based execution of workloads in clouds, in Proceeding of ICDCS’10 (2010), pp. 74–85
88.
K. Verma, K. Sivashanmugam, A. Sheth, A. Patil, S. Oundhakar, J. Miller, Meteor-s wsdi: a scalable p2p infrastructure of registries for semantic publication and discovery of web services. Inf. Technol. Manag. 6(1), 17–39 (2005)CrossRef
89.
M. Vieira, N. Antunes, H. Madeira, Using web security scanners to detect vulnerabilities in web services, in IEEE/IFIP International Conference on Dependable Systems and Networks (IEEE, 2009), pp. 566–571
90.
J. Wang, A. De Vries, M. Reinders, Unifying user-based and item-based collaborative filtering approaches by similarity fusion, in Proceeding of SIGIR’06 (2006), pp. 501–508
91.
Y. Wang, E. Stroulia, Semantic structure matching for assessing web service similarity, in Proceeding of 1st International Conference on Service Oriented Computing (ICSOC’03) (2003), pp. 194–207
92.
93.
G. Wu, J. Wei, X. Qiao, L. Li, A bayesian network based qos assessment model for web services, in IEEE International Conference on Services Computing (IEEE, 2007), pp. 498–505
94.
P. Xiong, Y. Fan, M. Zhou, QoS-aware web service configuration. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 38(4), 888–895 (2008)
95.
P. Xiong, Y. Fan, M. Zhou, A petri net approach to analysis and composition of web services. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 40(2), 376–387 (2010)
96.
G. Xue, C. Lin, Q. Yang, W. Xi, H. Zeng, Y. Yu, Z. Chen, Scalable collaborative filtering using cluster-based smoothing, in Proceeding of SIGIR’05 (2005), pp. 114–121
97.
T. Yu, Y. Zhang, K. Lin, Efficient algorithms for Web services selection with end-to-end QoS constraints. ACM Trans. Web (TWEB) 1(1), 6 (2007)CrossRef
98.
L. Zeng, B. Benatallah, A. Ngu, M. Dumas, J. Kalagnanam, H. Chang, QoS-aware middleware for web services composition. IEEE Trans. Softw. Eng. (TSE) 30(5), 311–327 (2004)CrossRef
99.
L. Zhang, S. Cheng, C. Chang, Q. Zhou, A pattern-recognition-based algorithm and case study for clustering and selecting business services. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 42(1), 102–114 (2012)
100.
L.-J. Zhang, J. Zhang, H. Cai, Services Computing (Springer, Berlin, 2007)
101.
Y. Zhang, Z. Zheng, M. Lyu, WSExpress: a QoS-aware search engine for Web services, in Proceeding of ICWS’10 (2010), pp. 91–98
102.
Y. Zhang, Z. Zheng, M. Lyu, Wspred: a time-aware personalized QoS prediction framework for web services, in Proceeding of IEEE Symposium on Software Reliability Engineering (ISSRE’11) (2011), pp. 210–219
103.
Y. Zhang, Z. Zheng, M.R. Lyu, Bftcloud: a byzantine fault tolerance framework for voluntary-resource cloud computing, in IEEE International Conference on Cloud Computing (CLOUD) (IEEE, 2011), pp. 444–451
104.
Y. Zhang, Z. Zheng, M.R. Lyu, Exploring latent features for memory-based qos prediction in cloud computing, in IEEE Symposium on Reliable Distributed Systems (SRDS) (IEEE, 2011), pp. 1–10
105.
Y. Zhang, Z. Zheng, M.R. Lyu, Real-time performance prediction for cloud components, in IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops (ISORCW) (IEEE, 2012), pp. 106–111
106.
Y. Zhang, Z. Zheng, M.R. Lyu, An online performance prediction framework for service-oriented systems. IEEE Trans. Syst. Man Cybern. Syst. (TSMC) 44(9), 1169–1181 (2014)CrossRef
107.
W. Zhao, BFT-WS: a Byzantine fault tolerance framework for web services, in Proceeding of EDOC’07 (2008), pp. 89–96
108.
Z. Zheng, Y. Zhang, M. Lyu, CloudRank: a QoS-driven component ranking framework for cloud computing, in Proceeding of SRDS’10 (2010), pp. 184–193
109.
Z. Zheng, Y. Zhang, M. Lyu, Distributed QoS evaluation for real-world web services, in Proceeding of ICWS’10 (2010), pp. 83–90
Metadata
Title
Introduction
Authors
Yilei Zhang
Michael R. Lyu
Copyright Year
2017
Publisher
Springer Singapore
Book
QoS Prediction in Cloud and Service Computing

Print ISBN: 978-981-10-5277-4

Electronic ISBN: 978-981-10-5278-1

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-5278-1_1