R. Babuska, Fuzzy Modeling for Control, Kluwer Academic Publ., Dordrecht, 1998, 288 p. B. Bouchon-Meunier, L. Foulloy, M. Ramdani, Logique Floue Exercices Corriges et Exemples d' Applications, Cepadues Editions. Toulouse, 199B, 200 p. G.Q. Chen, Fuzzy Logic in Data Modeling Semantics, Constraints and Database Design, Kluwer Academic Publ., Boston. 1998, 240 p. K.J. Cios. W. Pedrycz, R.S. Swiniarski. Data Mining Methods for Knowledge Discovery, Kluwer Academic Publ., Dordrecht. 199B. J. Godjevac, Idees Nettes sur la Logique Floue, Presses Polytechniques et Universitaires Romandes. Lausanne, 1997,200 p. E. Hisdal, Logical structures for representation of knowledge and uncertainty, Physica-Verlag, Heidelberg, Germany, 199B. M. Jamshidi, A. Titli, L.A. Zadeh, S. Boverie, Applications of Fuzzy LogiC Towards High Machine Intelligence Quotient Systems, Prentice-Hall, Englewood Cliffs, NJ, 1997,423 p. F. Lootsma, Fuzzy Logic for Planning and Decision Making Applied Optimization 8. Kluwer Academic Publ., Dordrecht, 1998. W. Mielczarski, Fuzzy Logic Techniques in Power Systems, Physica-Verlag, Berlin, 1998, 456 p. J.N. Mordeson, P.S. Nair, Fuzzy Mathematics An Introduction for Engineers and Scientists. Physica-Verlag, Berlin, 1998,270 p. W. Pedrycz, Computational Intelligence An Introduction, CRC Press, Boca Raton, FL, 1997,304 p. M. Reghis, E. Roventa, Classical and Fuzzy Concepts in Mathematical Logic and Applications, CRC Press, Boca Raton, FL, 1998. L. Reznik, Fuzzy Controllers, Newness Press, UK, 1997. Schindler, Fuzzy-Datenanalyse durch kontextbasierte Datenbankanfragen, Deutscher Universitiits Verlag, Leverkusen, Germany, 1998. O. Wolkenhauer, Possibility Theory with Applications to Data Analysis. Research Studies Press, Hertfordshire, UK, 1998, 290 p. Edited volumes

Fuzzy sets and systems

Business process models play an important role for the management, design, and improvement of process organizations and process-aware information systems. Despite the extensive application of process modeling in practice, there are hardly empirical results available on quality aspects of process models. This paper aims to advance the understanding of this matter by analyzing the connection between formal errors (such as deadlocks) and a set of metrics that capture various structural and behavioral aspects of a process model. In particular, we discuss the theoretical connection between errors and metrics, and provide a comprehensive validation based on an extensive sample of EPC process models from practice. Furthermore, we investigate the capability of the metrics to predict errors in a second independent sample of models. The high explanatory power of the metrics has considerable consequences for the design of future modeling guidelines and modeling tools.

Understanding the Occurrence of Errors in Process Models Based on Metrics

As the wide adoption of in-cloud services (e.g., software-as-a-service), some major identity related issues are brought up. For enterprises, it usually introduces additional cost and risk to manage identities in services. For service providers, typical pairwise identity federation solutions are not scalable to support single sign-on, service composition, etc. among services for large environment like service cloud. This paper proposes an identity federation broker that introduces a trusted third party as a trust broker to simplify the management of identity federation in a user centric manner. With this solution, the cost and risk of federated identity management for both enterprises and service providers could be significantly reduced. A detailed scenario implementation is given to demonstrate the feasibility of the solution. Moreover, the vulnerability analysis shows how the solution can resist the typical security attacks.

Identity Federation Broker for Service Cloud.

Agent-based automated dynamic SLA negotiation framework in the cloud using the stochastic optimization approach

In recent years, cloud computing is an emergent field in the Internet era. There is rapid development in high-performance computing and technology extended from grid computing to cloud computing to provide computing resources on pay per basis. Cloud service providers developed applications for users to easily access cloud services with quality of service (QoS) because cloud application plays an important role in service delivery of cloud organization. This paper provides a review of cloud computing technology, cloud models, deployment and cloud applications such as types of applications, reliability, and security. Finally, open research issues are provided for future research development.

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Cloud Computing Applications: A Review

Cloud federation is an aggregation of services from different providers in a single pool supporting interoperability and resource migration. In federation, Services are assigned to the consumer’s service access pool as per their specific functional and associated Quality level requirements. The said assignment is based on the advertised features of services. Sometimes, the selected provider fails to provide the committed service or, it fails to fulfill the expected QoS level. As a result, the consumer is being deprived of getting the services at required quality levels, in spite of subscribing and paying. Re-federation i.e. the inclusion of new services from different providers in the resource pool is a solution. This costly and time consuming re-federation process harms the overall harmony, reputation and performance of the existing federation. In this paper, the necessary strategies to make a federation autonomic is proposed. It helps federation to work in a self-adaptive manner by delaying the re-federation process through replacement and negotiation mechanisms. This allows the federation to keep a balanced state in case of failures. The proposed methods are simulated and the claims are substantiated by the preliminary experimental outcomes.

/pdf/replaceability-and-negotiation-in-a-cloud-service-ecosystem-3shaw3k1ao.pdf

Replaceability and negotiation in a cloud service ecosystem

Cloud Computing is all about delivering services over the Internet. It has some technical, business and economical aspects. The complexity of service provisioning has increased significantly with the increasing number of cloud services and their providers. This creates a complex situation and as a result the service provisioning techniques face hurdles. The challenge of service provisioning is to properly offer services by adjusting the complexities efficiently. There are significant works to solve the problem in different manners. But still there are some gaps that are to be noticed and bridged for future advancement of cloud technology research. In this paper an attempt has been made for analyzing the service provisioning techniques from different perspectives. The said perspectives are various techniques and methodologies, QoS parameter considered, context awareness, etc. Moreover, the role of a broker in this context is also addressed. The overall motivation is to identify the open challenges, that may provide a future research direction in context of service provisioning.

Service Provisioning in Cloud: A Systematic Survey

In cloud service domain, an acceptable standard of quality of service (QoS) must be maintained for subscribed services. The performance measurement of those cloud services is based on the satisfaction of customers with respect to the pre-defined QoS. Deviation of QoS as mentioned in SLA results dissatisfaction among users. A large numbers of business entities and consumers are involved in this service delivery process. In business environment, guaranteeing the QoS and establishing the service contracts are essential. However, for the service providers, it is challenging to maintain the QoS at run-time. Moreover, even if it is maintained, additional cost may be needed. Sometime a categorization among the consumers (premium or ordinary) is also required due to the limitation of the resources. Thus, the service management for ensuring the delivery with desired QoS at least for the premium consumers is necessary. This paper proposes a novel methodology termed as service insurances, which is incorporated into the service broker as a new module. The proposed concept is expected to ensure customer’s satisfaction in context of a business application domain.

Service Insurance: A New Approach in Cloud Brokerage

Functional as well as Non-functional specification plays important role in service composition, discovery and selection. Among all the Non-functional specification cost is the most important parameter to handle. Hence optimization of cost is an interesting area of research in the domain of non-functional property aware service provisioning. In order to provide an effective solution; a cost oriented service composition method is presented in this paper. A hierarchical graph based model is proposed, which is constructed offline. It contains cost of single as well as composite services and also checks compliance information at the time of composition and can be used to answer all the queries in the system. Further the lemmas are defined to establish the soundness of the model which is formalized as Hierarchical Service Graph (HSG).

Hierarchical graph based approach for service composition

Ticketing system is an example of a Service System (SS) which is responsible for handling huge volumes of tickets generated by large enterprise IT (Information Technology) infrastructure components, and ensuring smooth operation. An issue is captured as summary on the ticket and once a ticket is resolved, the solution is also noted down on the ticket as resolution. Further the system maintains the provision of recording the time when a ticket is opened, acknowledged to user, resolved and/or closed, from which different QoS parameters could be obtained. For example, Resolution Time can be computed as the difference of resolution date and opening date of the ticket. QoS parameters are used to measure the performance of different aspects of a service. In case of impreciseness of observations of these parameters fuzzy sets seems to be an optimal tool to model them. To ensure better operation for services based on these QoS values we propose a two-stage analysis framework for QoS prediction of incoming tickets which includes fuzzy clustering of incident tickets based on QoS values and building a fuzzy regression model using this categorization and the textual contents of tickets. Further we carry out a fuzzy correlation analysis of different categories (clusters) of QoS parameters. Lastly we report on our experimental results.

Adrija Bhattacharya

Papers

Replaceability and negotiation in a cloud service ecosystem

Service Provisioning in Cloud: A Systematic Survey

Service Insurance: A New Approach in Cloud Brokerage

Hierarchical graph based approach for service composition

Fuzzy QoS Modeling of IT Maintenance Tickets