Pub Date : 2011-12-12DOI: 10.1109/SOSE.2011.6139110
Rob Smith, Jie Xu
Mashups are web application hybrids built from usually independent online services and information sources, commonly for purposes that differ from the original reasons those services were developed in the first place. The intent is usually to make data more useful, often through visualisation, combination, aggregation or the application of distributed expertise. Mashups rely on APIs to leverage content or functionality. APIs come in many varieties and mashup development is often considered an exercise in spaghetti deployment. This means that mashups are not always well-engineered; that they're often brittle; inconsistent; difficult to maintain; and susceptible to unexpected changes at the whim of service and data providers.
{"title":"A survey of personal privacy protection in public service mashups","authors":"Rob Smith, Jie Xu","doi":"10.1109/SOSE.2011.6139110","DOIUrl":"https://doi.org/10.1109/SOSE.2011.6139110","url":null,"abstract":"Mashups are web application hybrids built from usually independent online services and information sources, commonly for purposes that differ from the original reasons those services were developed in the first place. The intent is usually to make data more useful, often through visualisation, combination, aggregation or the application of distributed expertise. Mashups rely on APIs to leverage content or functionality. APIs come in many varieties and mashup development is often considered an exercise in spaghetti deployment. This means that mashups are not always well-engineered; that they're often brittle; inconsistent; difficult to maintain; and susceptible to unexpected changes at the whim of service and data providers.","PeriodicalId":218577,"journal":{"name":"Proceedings of 2011 IEEE 6th International Symposium on Service Oriented System (SOSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123275055","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}
Pub Date : 2011-12-12DOI: 10.1109/SOSE.2011.6139116
Zhengan Huang, Qiang Li, D. Zheng, Kefei Chen, Xiangxue Li
Cloud Storage systems provide user a safe and consistent place to save user's valuable data and documents. However, user's files are not encrypted on some open source cloud storage systems, such as Hadoop and Sector. The storage service provider can easily access the user's files. This brings a big concern about user's privacy. This paper describes a cloud storage system named YI Cloud. This system allows the users to encrypt their files in the cloud storage. User's primary encryption key is shared between trusted entities using secret sharing algorithm. The primary key can be recovered when the user loses it. User's privacy is protected because user's files are encrypted in cloud storage. Using secret sharing algorithm, the YI Cloud also decreases the risk that user may lose all his/her encrypted files if he/she loses the encryption key.
{"title":"YI Cloud: Improving user privacy with secret key recovery in cloud storage","authors":"Zhengan Huang, Qiang Li, D. Zheng, Kefei Chen, Xiangxue Li","doi":"10.1109/SOSE.2011.6139116","DOIUrl":"https://doi.org/10.1109/SOSE.2011.6139116","url":null,"abstract":"Cloud Storage systems provide user a safe and consistent place to save user's valuable data and documents. However, user's files are not encrypted on some open source cloud storage systems, such as Hadoop and Sector. The storage service provider can easily access the user's files. This brings a big concern about user's privacy. This paper describes a cloud storage system named YI Cloud. This system allows the users to encrypt their files in the cloud storage. User's primary encryption key is shared between trusted entities using secret sharing algorithm. The primary key can be recovered when the user loses it. User's privacy is protected because user's files are encrypted in cloud storage. Using secret sharing algorithm, the YI Cloud also decreases the risk that user may lose all his/her encrypted files if he/she loses the encryption key.","PeriodicalId":218577,"journal":{"name":"Proceedings of 2011 IEEE 6th International Symposium on Service Oriented System (SOSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133077959","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}
Pub Date : 2011-12-12DOI: 10.1109/SOSE.2011.6139105
Alexandre Souza, C. Cappelli, F. Santoro, L. Azevedo, Julio Cesar Sampaio do Prado Leite, T. Batista
A Service-Oriented Architecture (SOA) can be created through the use of various approaches; among them, service identification from business process models is recognized as a promising starting point. In this approach, the concept of modularization plays an important role. Modularization is also central to the aspect-oriented business process modeling (AO-BPM) approach. We understand that the combination of these two approaches can bring improvements to service identification. This paper proposes adaptations to an existing service identification method using, as input, an aspect-oriented business process modeling approach. An example is provided to demonstrate the effectiveness of our proposal.
{"title":"Service identification in aspect-oriented business process models","authors":"Alexandre Souza, C. Cappelli, F. Santoro, L. Azevedo, Julio Cesar Sampaio do Prado Leite, T. Batista","doi":"10.1109/SOSE.2011.6139105","DOIUrl":"https://doi.org/10.1109/SOSE.2011.6139105","url":null,"abstract":"A Service-Oriented Architecture (SOA) can be created through the use of various approaches; among them, service identification from business process models is recognized as a promising starting point. In this approach, the concept of modularization plays an important role. Modularization is also central to the aspect-oriented business process modeling (AO-BPM) approach. We understand that the combination of these two approaches can bring improvements to service identification. This paper proposes adaptations to an existing service identification method using, as input, an aspect-oriented business process modeling approach. An example is provided to demonstrate the effectiveness of our proposal.","PeriodicalId":218577,"journal":{"name":"Proceedings of 2011 IEEE 6th International Symposium on Service Oriented System (SOSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129538359","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}
Pub Date : 2011-12-12DOI: 10.1109/SOSE.2011.6139106
Sinan Mei, Hongming Cai, Fenglin Bu
According to the analysis of business process modeling technology and business process execution technology, a business process modeling framework named REPC (Rule-Merged Event-driven Process Chain) has been proposed to solve lack of process semantics such as business rule in transformation from business process modeling to business process execution. Through service-oriented Enterprise Resource Meta-model the semantics of basic elements in process model are modeled. And on the basis of resource models business rules are modeled. Finally the business rules are integrated with business process model to maintain the semantics of process model completely. With the implementation of a prototype of the REPC-based modeling platform and a purchase process example, the correctness and the practical usability of the modeling framework has been verified. REPC provides a new framework for business process modeling in SOA information system.
{"title":"Multi-view service-oriented rule merged business process modeling framework","authors":"Sinan Mei, Hongming Cai, Fenglin Bu","doi":"10.1109/SOSE.2011.6139106","DOIUrl":"https://doi.org/10.1109/SOSE.2011.6139106","url":null,"abstract":"According to the analysis of business process modeling technology and business process execution technology, a business process modeling framework named REPC (Rule-Merged Event-driven Process Chain) has been proposed to solve lack of process semantics such as business rule in transformation from business process modeling to business process execution. Through service-oriented Enterprise Resource Meta-model the semantics of basic elements in process model are modeled. And on the basis of resource models business rules are modeled. Finally the business rules are integrated with business process model to maintain the semantics of process model completely. With the implementation of a prototype of the REPC-based modeling platform and a purchase process example, the correctness and the practical usability of the modeling framework has been verified. REPC provides a new framework for business process modeling in SOA information system.","PeriodicalId":218577,"journal":{"name":"Proceedings of 2011 IEEE 6th International Symposium on Service Oriented System (SOSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131987891","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}
Pub Date : 2011-12-12DOI: 10.1109/SOSE.2011.6139088
M. Bozkurt, M. Harman
Generating realistic test data is a major problem for software testers. Realistic test data generation for certain input types is hard to automate and therefore laborious. We propose a novel automated solution to test data generation that exploits existing web services as sources of realistic test data. Our approach is capable of generating realistic test data and also generating data based on tester-specified constraints. In experimental analysis, our prototype tool achieved between 93% and 100% success rates in generating realistic data using service compositions while random test data generation achieved only between 2% and 34%.
{"title":"Automatically generating realistic test input from web services","authors":"M. Bozkurt, M. Harman","doi":"10.1109/SOSE.2011.6139088","DOIUrl":"https://doi.org/10.1109/SOSE.2011.6139088","url":null,"abstract":"Generating realistic test data is a major problem for software testers. Realistic test data generation for certain input types is hard to automate and therefore laborious. We propose a novel automated solution to test data generation that exploits existing web services as sources of realistic test data. Our approach is capable of generating realistic test data and also generating data based on tester-specified constraints. In experimental analysis, our prototype tool achieved between 93% and 100% success rates in generating realistic data using service compositions while random test data generation achieved only between 2% and 34%.","PeriodicalId":218577,"journal":{"name":"Proceedings of 2011 IEEE 6th International Symposium on Service Oriented System (SOSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124146670","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}
Pub Date : 2011-12-12DOI: 10.1109/SOSE.2011.6139104
J. Sanz, P. Nandi
The entity-based approach for operations modeling was published for the first time three decades ago. Specifically, the notion of entities as the main subjects of processes and entity life-cycle as a technique for dynamic modeling of operations were introduced independently by K. Robinson in 1979, C. Rosenquist in 1982 and M. Jackson in 1983. This modeling work emerged in clear contrast with static entity-relationship modeling found in the data-base tradition. These three pioneer contributions and other substantial research done at the realm of information engineering, structured systems analysis and social sciences in the 80's and 90's have established an important foundation for business process modeling.
{"title":"Entity-centric operations modeling for business process management — A multidisciplinary review of the state-of-the-art","authors":"J. Sanz, P. Nandi","doi":"10.1109/SOSE.2011.6139104","DOIUrl":"https://doi.org/10.1109/SOSE.2011.6139104","url":null,"abstract":"The entity-based approach for operations modeling was published for the first time three decades ago. Specifically, the notion of entities as the main subjects of processes and entity life-cycle as a technique for dynamic modeling of operations were introduced independently by K. Robinson in 1979, C. Rosenquist in 1982 and M. Jackson in 1983. This modeling work emerged in clear contrast with static entity-relationship modeling found in the data-base tradition. These three pioneer contributions and other substantial research done at the realm of information engineering, structured systems analysis and social sciences in the 80's and 90's have established an important foundation for business process modeling.","PeriodicalId":218577,"journal":{"name":"Proceedings of 2011 IEEE 6th International Symposium on Service Oriented System (SOSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123785000","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}
Pub Date : 2011-12-12DOI: 10.1109/SOSE.2011.6139093
J. Gao, Pushkala Pattabhiraman, Xiaoying Bai, W. Tsai
Cloud computing not only changes today's computing infrastructure, but also alters the way of obtaining computing resources, managing and delivering software and services. Meanwhile, cloud computing brings new issues, challenges, and needs in performance testing, evaluation and scalability measurement due to the special features of cloud computing, such as elasticity and scalability. This paper focuses on performance evaluation and scalability measurement issue for Software as a Service (SaaS) in clouds. It proposes new formal graphic models and metrics to evaluate SaaS performance and analyze system scalability in clouds. In addition, the paper reports an evaluation approach based on Amazon's EC2 cloud technology and detailed case study results using the proposed models and metrics.
{"title":"SaaS performance and scalability evaluation in clouds","authors":"J. Gao, Pushkala Pattabhiraman, Xiaoying Bai, W. Tsai","doi":"10.1109/SOSE.2011.6139093","DOIUrl":"https://doi.org/10.1109/SOSE.2011.6139093","url":null,"abstract":"Cloud computing not only changes today's computing infrastructure, but also alters the way of obtaining computing resources, managing and delivering software and services. Meanwhile, cloud computing brings new issues, challenges, and needs in performance testing, evaluation and scalability measurement due to the special features of cloud computing, such as elasticity and scalability. This paper focuses on performance evaluation and scalability measurement issue for Software as a Service (SaaS) in clouds. It proposes new formal graphic models and metrics to evaluate SaaS performance and analyze system scalability in clouds. In addition, the paper reports an evaluation approach based on Amazon's EC2 cloud technology and detailed case study results using the proposed models and metrics.","PeriodicalId":218577,"journal":{"name":"Proceedings of 2011 IEEE 6th International Symposium on Service Oriented System (SOSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129126710","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}
Pub Date : 2011-12-12DOI: 10.1109/SOSE.2011.6139124
P. Bull, L. Guan, I. Phillips, A. Grigg
As recognition grows within industry for the advantages that can be gained through the exploitation of large-scale dynamic systems, a need emerges for dependable performance. Future systems are being developed with a requirement to support mission critical and safety critical applications. These levels of criticality require predictable performance and as such have traditionally not been associated with adaptive systems. The software architecture proposed for such systems takes its properties from the service-oriented computing paradigm and the communication model follows a publish/subscribe approach. While adaptive, such architectures do not, however, typically support real-time levels of performance. There is scope, however, for dependability within such architectures through the use of Quality of Service (QoS) methods. QoS is used in systems where the distribution of resources cannot be decided at design time. In this paper a QoS based framework is proposed for providing adaptive and dependable behaviour for future large-scale dynamic systems through the flexible allocation of resources. Simulation results are presented to demonstrate the benefits of the QoS framework and the tradeoffs that occur between negotiation algorithms of varying complexities.
{"title":"A quality of service framework for dependability in large-scale distributed systems","authors":"P. Bull, L. Guan, I. Phillips, A. Grigg","doi":"10.1109/SOSE.2011.6139124","DOIUrl":"https://doi.org/10.1109/SOSE.2011.6139124","url":null,"abstract":"As recognition grows within industry for the advantages that can be gained through the exploitation of large-scale dynamic systems, a need emerges for dependable performance. Future systems are being developed with a requirement to support mission critical and safety critical applications. These levels of criticality require predictable performance and as such have traditionally not been associated with adaptive systems. The software architecture proposed for such systems takes its properties from the service-oriented computing paradigm and the communication model follows a publish/subscribe approach. While adaptive, such architectures do not, however, typically support real-time levels of performance. There is scope, however, for dependability within such architectures through the use of Quality of Service (QoS) methods. QoS is used in systems where the distribution of resources cannot be decided at design time. In this paper a QoS based framework is proposed for providing adaptive and dependable behaviour for future large-scale dynamic systems through the flexible allocation of resources. Simulation results are presented to demonstrate the benefits of the QoS framework and the tradeoffs that occur between negotiation algorithms of varying complexities.","PeriodicalId":218577,"journal":{"name":"Proceedings of 2011 IEEE 6th International Symposium on Service Oriented System (SOSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125775092","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}
To achieve large scale reuse and economy of scale, software are wrapped into services and migrated to the cloud platform. As a result, the quality of software services are affected by many third party components such as infrastructure services and platform services. In the collaborative framework, the stake-holders may have distinct, even contradictive, quality objectives. It is necessary to build agreements on quality properties, and to evaluate at runtime system's conformance to its service level agreements from different views. The paper proposes a QoS (Quality of Services) model for software services deployed on the cloud. The model identifies QoS concerns from three dimensions: system resource utilization, service performance, and price. Ontology language is used to describe these quality concerns and their properties. Based on the quality model, the paper proposes a method for service satisfaction evaluation from the end users' view point, taking all the three categories of factors into consideration. Experiments are conducted on Amazon EC2 platform using SPECWeb Support benchmark. It analyzes how each factor contributes to the end systems' satisfaction for different EC2 instance configurations.
{"title":"Evaluating services on the cloud using ontology QoS model","authors":"Guang Chen, Xiaoying Bai, Xiaofei Huang, Muyang Li, Lizhu Zhou","doi":"10.1109/SOSE.2011.6139122","DOIUrl":"https://doi.org/10.1109/SOSE.2011.6139122","url":null,"abstract":"To achieve large scale reuse and economy of scale, software are wrapped into services and migrated to the cloud platform. As a result, the quality of software services are affected by many third party components such as infrastructure services and platform services. In the collaborative framework, the stake-holders may have distinct, even contradictive, quality objectives. It is necessary to build agreements on quality properties, and to evaluate at runtime system's conformance to its service level agreements from different views. The paper proposes a QoS (Quality of Services) model for software services deployed on the cloud. The model identifies QoS concerns from three dimensions: system resource utilization, service performance, and price. Ontology language is used to describe these quality concerns and their properties. Based on the quality model, the paper proposes a method for service satisfaction evaluation from the end users' view point, taking all the three categories of factors into consideration. Experiments are conducted on Amazon EC2 platform using SPECWeb Support benchmark. It analyzes how each factor contributes to the end systems' satisfaction for different EC2 instance configurations.","PeriodicalId":218577,"journal":{"name":"Proceedings of 2011 IEEE 6th International Symposium on Service Oriented System (SOSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116199426","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}
Pub Date : 2011-12-12DOI: 10.1109/SOSE.2011.6139112
T. Koga, Xiaodong Lu, K. Mori
In this paper, we discuss a technology as an industrial application of service-oriented engineering. The technology accomplishes continuous service in a wireless communication system.
本文讨论了面向服务工程的一种工业应用技术。该技术实现了无线通信系统的连续服务。
{"title":"Autonomous continuous target tracking technology for safety in air traffic radar systems network","authors":"T. Koga, Xiaodong Lu, K. Mori","doi":"10.1109/SOSE.2011.6139112","DOIUrl":"https://doi.org/10.1109/SOSE.2011.6139112","url":null,"abstract":"In this paper, we discuss a technology as an industrial application of service-oriented engineering. The technology accomplishes continuous service in a wireless communication system.","PeriodicalId":218577,"journal":{"name":"Proceedings of 2011 IEEE 6th International Symposium on Service Oriented System (SOSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130666795","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}
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