Adaptive Service Composition in Flexible Processes

By Danilo Ardagna, Barbara Pernici. IEEE Transactions on Software Engineering, 2007

946 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/6f77a039846d42b4d4d386819f70509a48ea9798

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Citations in the corpus

Selecting skyline services for QoS-based web service composition (2010, methodology): “Once the problem of QoS-based service composition has been formulated as a constraint optimization problem, MIP techn iques [13] can be employed [23, 3].”
Software Architecture Optimization Methods: A Systematic Literature Review (2013, neutral): “[236], [237], [241] AREA(3) [45], [218], [220], AVAILABILITY(18) [12], [14], [15], [29], [39], [40], [42],”
Dynamic QoS Management and Optimization in Service-Based Systems (2011, methodology): “Most of the proposed methodologies for QoS-driven adaptation of SBS address this problem as a service selection problem (e.g., [5], [26], [30], [101]).”
A market-oriented hierarchical scheduling strategy in cloud workflow systems (2011, background): “Cloud computing is emerging as the latest distributed computing paradigm and attracts increasing interests of researchers in the area of Distributed and Parallel Computing [33], Service Oriented Computing [1], and Software Engineering [37].”
A framework for QoS-aware binding and re-binding of composite web services (2008, background): “Instead, in Ardagna and Pernici (2007) Loops are “peeled”, by considering both the maximum number of iterations expected and the probability of exiting the Loop at each iteration.”
Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization (2013, methodology): “Based on the previous investigations of web service QoS [2], [3], [4], the commonly used clientside web service QoS properties include: .”
Distributed QoS Evaluation for Real-World Web Services (2010, background): “In the ﬁeld of service computing [17], a lot of QoS driven approaches have been proposed for Web service selection [8, 4, 5, 15], optimal service composition [2, 3, 5, 16], fault tolerant Web services [7, 19], Web service recommendation [21], Web service reliability prediction [20], and so on.”
Combining global optimization with local selection for efficient QoS-aware service composition (2009, methodology): “…the fulﬁllment of global QoS constraints in a service composition problem without enumerating all possible combinations of component web service, we decompose each QoS global constraint c 0 into a set of n local constraints c 1 , . . . , c n ( n is the number of abstract service classes in the…”
Investigating QoS of Real-World Web Services (2014, background): “Local approaches [1], [7] select optimal web service for each abstract task independently, while global approaches [19], [7], [20] select a set of services that satisfy the process constraints and user preferences for the whole application together.”
Cloud computing service composition: A systematic literature review (2014, result): “Comparing the results of the proposed algorithm with another service composition called GOA (Ardagna & Pernici, 2007) demonstrates that the proposed method achieves positive results.”