2012 IEEE 19th International Conference on Web Services最新文献_第3页

Tenant Onboarding in Evolving Multi-tenant Software-as-a-Service Systems 不断发展的多租户软件即服务系统中的租户登录

2012 IEEE 19th International Conference on Web Services Pub Date : 2012-06-24 DOI: 10.1109/ICWS.2012.43

Lei Ju, Bikram Sengupta, Abhik Roychoudhury

{"title":"Tenant Onboarding in Evolving Multi-tenant Software-as-a-Service Systems","authors":"Lei Ju, Bikram Sengupta, Abhik Roychoudhury","doi":"10.1109/ICWS.2012.43","DOIUrl":"https://doi.org/10.1109/ICWS.2012.43","url":null,"abstract":"A multi-tenant software as a service (SaaS) system has to meet the needs of several tenant organizations, which connect to the system to utilize its services. To leverage economies of scale through re-use, a SaaS vendor would, in general, like to drive commonality amongst the requirements across tenants. However, many tenants will also come with some custom requirements that may be a pre-requisite for them to adopt the SaaS system. These requirements then need to be addressed by evolving the SaaS system in a controlled manner, while still supporting the requirements of existing tenants. In this paper, we focus on functional variability amongst tenants in a multi-tenant SaaS and develop a framework to help evolve such systems systematically. We adopt an intuitive formal model of services that is easily amenable to tenant requirement analysis and provides a robust way to support multiple tenant on boarding, which is modeled as a bi-objective optimization problem that attempts to maximize vendor profit and tenant functional commonality. We perform a substantial case study of a multi-tenant blog server to demonstrate the benefits of our proposed approach.","PeriodicalId":226237,"journal":{"name":"2012 IEEE 19th International Conference on Web Services","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134000516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

How to Design a Global SOA Infrastructure: Coping with Challenges in a Global Context 如何设计全局SOA基础设施:应对全局环境中的挑战

2012 IEEE 19th International Conference on Web Services Pub Date : 2012-06-24 DOI: 10.1109/ICWS.2012.22

Alain Hsiung, Giovanni Rivelli, Georg Hüttenegger

引用次数: 4

An Approach to Forecasting QoS Attributes of Web Services Based on ARIMA and GARCH Models 基于ARIMA和GARCH模型的Web服务QoS属性预测方法

2012 IEEE 19th International Conference on Web Services Pub Date : 2012-06-24 DOI: 10.1109/ICWS.2012.37

Ayman A. Amin, A. Colman, Lars Grunske

{"title":"An Approach to Forecasting QoS Attributes of Web Services Based on ARIMA and GARCH Models","authors":"Ayman A. Amin, A. Colman, Lars Grunske","doi":"10.1109/ICWS.2012.37","DOIUrl":"https://doi.org/10.1109/ICWS.2012.37","url":null,"abstract":"Availability of several web services having a similar functionality has led to using quality of service (QoS) attributes to support services selection and management. To improve these operations and be performed proactively, time series ARIMA models have been used to forecast the future QoS values. However, the problem is that in this extremely dynamic context the observed QoS measures are characterized by a high volatility and time-varying variation to the extent that existing ARIMA models cannot guarantee accurate QoS forecasting where these models are based on a homogeneity (constant variation over time) assumption, which can introduce critical problems such as proactively selecting a wrong service and triggering unrequired adaptations and thus leading to follow-up failures and increased costs. To address this limitation, we propose a forecasting approach that integrates ARIMA and GARCH models to be able to capture the QoS attributes' volatility and provide accurate forecasts. Using QoS datasets of real-world web services we evaluate the accuracy and performance aspects of the proposed approach. Results show that the proposed approach outperforms the popular existing ARIMA models and improves the forecasting accuracy of QoS measures and violations by on average 28.7% and 15.3% respectively.","PeriodicalId":226237,"journal":{"name":"2012 IEEE 19th International Conference on Web Services","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133566428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 125

Intelligent Database Placement in Cloud Environment 云环境下的智能数据库布局

2012 IEEE 19th International Conference on Web Services Pub Date : 2012-06-24 DOI: 10.1109/ICWS.2012.74

Tao Yu, J. Qiu, B. Reinwald, Lei Zhi, Q. Wang, Ning Wang

{"title":"Intelligent Database Placement in Cloud Environment","authors":"Tao Yu, J. Qiu, B. Reinwald, Lei Zhi, Q. Wang, Ning Wang","doi":"10.1109/ICWS.2012.74","DOIUrl":"https://doi.org/10.1109/ICWS.2012.74","url":null,"abstract":"Database-as-a-Service (DBaaS) has gain significant momentum with the prevailing usage of Cloud computing. Multi-tenancy is one of the key features of DBaaS offering, where a large volume of databases with different Service Level Agreement (SLA) requirements are co-located in one environment and sharing resources. As Cloud resources are elastic and resource demands of database requests are unpredictable, it is challenging to decide when and where to place databases in Cloud environment according to their resource requirements. In this paper, we propose a cost-efficient placement algorithm striving to produce placement solution that optimizes multiple objectives considering multi-resource constraints, user preferences and system preferences. The objective is to help DBaaS providers to achieve effective resource allocation among multiple databases, minimize the disturbance to the system caused by database migration, and maximize Cloud resource utilization. The demonstrated online placement technique can be used as decision making reference for DBaaS providers to make optimal resource planning. The effectiveness and efficiency of the algorithm have been verified by intensive simulation experiments and real-case study in IBM cloud platform.","PeriodicalId":226237,"journal":{"name":"2012 IEEE 19th International Conference on Web Services","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116658509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

Highly Resilient Systems for Cloud 高度弹性的云系统

2012 IEEE 19th International Conference on Web Services Pub Date : 2012-06-24 DOI: 10.1109/ICWS.2012.66

Teresa Tung, Shaw-Yi Chaw, Qing Xie, Qian Zhu

{"title":"Highly Resilient Systems for Cloud","authors":"Teresa Tung, Shaw-Yi Chaw, Qing Xie, Qian Zhu","doi":"10.1109/ICWS.2012.66","DOIUrl":"https://doi.org/10.1109/ICWS.2012.66","url":null,"abstract":"Traditional methods for implementing highly resilient systems are costly; and their methods using specialized hardware and high-speed interconnects do not extend to cloud. We demonstrate an architecture that rethinks the traditional approach and uses cloud's agility to provision additional capability as failures occur. This architecture continues serving requests with the best possible response even as the primary service deteriorates and even fails completely. It offloads requests according to their need to access the primary service; first redirecting requests with less need to lower-grade secondary capability that is provisioned on-demand on the cloud in order to reserve primary capacity for requests that need it (e.g., first redirect web-browsing requests to a slightly out-of-date cached dataset, and reserve the primary, most-consistent data service for check-out requests). Our approach 1) triages access to the primary service based on request needs in times when it is overwhelmed, and 2) provisions on-demand cloud capability to offload and continue serving other requests as needed. The result is a highly resilient system architecture that scales via cloud.","PeriodicalId":226237,"journal":{"name":"2012 IEEE 19th International Conference on Web Services","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128577798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

QoS-Aware Adaptive Service Orchestrations 支持qos的自适应服务编排

2012 IEEE 19th International Conference on Web Services Pub Date : 2012-06-24 DOI: 10.1109/ICWS.2012.104

G. Cugola, Leandro Sales Pinto, Giordano Tamburrelli

引用次数: 11

Rigorous Analysis of Service Composability by Embedding WS-BPEL into the BIP Component Framework 通过将WS-BPEL嵌入到BIP组件框架中来严格分析服务的可组合性

2012 IEEE 19th International Conference on Web Services Pub Date : 2012-06-24 DOI: 10.1109/ICWS.2012.63

Emmanouela Stachtiari, Anakreon Mentis, P. Katsaros

{"title":"Rigorous Analysis of Service Composability by Embedding WS-BPEL into the BIP Component Framework","authors":"Emmanouela Stachtiari, Anakreon Mentis, P. Katsaros","doi":"10.1109/ICWS.2012.63","DOIUrl":"https://doi.org/10.1109/ICWS.2012.63","url":null,"abstract":"Behavioral correctness of service compositions refers to the absence of service interaction flaws, so that essential service properties like deadlock freedom are preserved and correctness properties related to safety and liveness are assured. Model checking is a widespread technique and it is based on extracting an abstract model representation of the program defining a service orchestration or choreography. During model extraction, the original structure of the service composition cannot be preserved and backwards traceability of the verification findings is not possible. We propose a rigorous analysis within the BIP component framework. Being rigorous means that the analyst is able to reason on which properties hold and why. The BIP language offers a sound execution semantics for a minimal set of primitives and constructs for modeling and composing layered components. We formally define the WS-BPEL 2.0 execution semantics and we provide a structure-preserving translation (embedding) of WS-BPEL to BIP. Structure preservation is feasible, due to the formally grounded expressiveness properties of BIP. As a proof of concept, we apply the developed embedding to a sample BPEL program and present the analysis results for a safety property. By exploiting the BIP model structure we interpret the analysis findings in terms of the service interactions stated in the BPEL source code. A significant benefit of BIP is that it applies compositional reasoning on the model structure to guarantee essential correctness properties and avoid, as much as possible, the scalability limitations of conventional model checking.","PeriodicalId":226237,"journal":{"name":"2012 IEEE 19th International Conference on Web Services","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130318283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Personalized Services Recommendation Based on Context-Aware QoS Prediction 基于上下文感知QoS预测的个性化服务推荐

2012 IEEE 19th International Conference on Web Services Pub Date : 2012-06-24 DOI: 10.1109/ICWS.2012.12

Li Kuang, Yingjie Xia, Yuxin Mao

{"title":"Personalized Services Recommendation Based on Context-Aware QoS Prediction","authors":"Li Kuang, Yingjie Xia, Yuxin Mao","doi":"10.1109/ICWS.2012.12","DOIUrl":"https://doi.org/10.1109/ICWS.2012.12","url":null,"abstract":"With the increase of published Web services, it has become a great challenge to recommend service consumers the best services with regard to the quality of services (QoS). Collaborative filtering is often employed to predict the QoS of a specific service to a certain consumer. However, in existing collaborative filtering based service recommendation approaches, the context under which consumers submit a recommendation request is seldom taken into account when filtering similar recommenders and their corresponding experience. In this paper, we propose a new method dubbed CASR (Context-Aware Services Recommendation) by referring to previous service invocation experiences under similar context with the current consumer, which is of great importance in the personalized service recommendation system. First, the proposed algorithm clusters the service invocation records according to the similarity on context properties and selects the cluster that is most similar to the context of current consumer. Then it predicts the QoS of an unused service for current consumer based on the filtered recommendation records by Bayesian inference. Experimental results demonstrate that the proposed approach can significantly improve the accuracy of QoS prediction and service recommendation.","PeriodicalId":226237,"journal":{"name":"2012 IEEE 19th International Conference on Web Services","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125568292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 51

Advanced Case Management Enabled by Business Provenance 由业务来源支持的高级案例管理

2012 IEEE 19th International Conference on Web Services Pub Date : 2012-06-24 DOI: 10.1109/ICWS.2012.68

A. Martens, Aleksander Slominski, Geetika T. Lakshmanan, N. Mukhi

引用次数: 10

Dodai-Deploy: Fast Cluster Deployment Tool Dodai-Deploy:快速集群部署工具

2012 IEEE 19th International Conference on Web Services Pub Date : 2012-06-24 DOI: 10.1109/ICWS.2012.71

Shigetoshi Yokoyama, Nobukazu Yoshioka

引用次数: 2