Liang Zhao, S. Sakr, Liming Zhu, Xiwei Xu, Anna Liu
Scaling relational database in the cloud is one of the critical factors in the migration of applications to the cloud. It is important that applications can directly monitor fine-grained scaling performance (such as consistency-related replication delays and query-specific response time) and specify application-specific policies for autonomic management of the scaling. However, there is no general mechanism and reusable framework and infrastructures to help this. The current facilities in cloud-hosted relational databases are also very limited in providing fine-grained and consumer-centric monitoring data. The situation is exacerbated by the complexity of the different underlying cloud technologies and the need to separate scaling policy from business logic. This paper presents an architecture framework to facilitate a consumer-centric, application-managed autonomic scaling of relational databases in cloud. The architecture framework includes a new consumer-centric monitoring infrastructure and customisable components for sensing, monitoring, analysing and actuation according to application-level scaling policies without modifying an existing application. We evaluated our framework using a modified Web 2.0 application benchmark. The results demonstrate the framework's ability to provide application-level flexibility in achieving improved throughput, data freshness (different levels of consistency) and monetary saving.
{"title":"An architecture framework for application-managed scaling of cloud-hosted relational databases","authors":"Liang Zhao, S. Sakr, Liming Zhu, Xiwei Xu, Anna Liu","doi":"10.1145/2361999.2362004","DOIUrl":"https://doi.org/10.1145/2361999.2362004","url":null,"abstract":"Scaling relational database in the cloud is one of the critical factors in the migration of applications to the cloud. It is important that applications can directly monitor fine-grained scaling performance (such as consistency-related replication delays and query-specific response time) and specify application-specific policies for autonomic management of the scaling. However, there is no general mechanism and reusable framework and infrastructures to help this. The current facilities in cloud-hosted relational databases are also very limited in providing fine-grained and consumer-centric monitoring data. The situation is exacerbated by the complexity of the different underlying cloud technologies and the need to separate scaling policy from business logic. This paper presents an architecture framework to facilitate a consumer-centric, application-managed autonomic scaling of relational databases in cloud. The architecture framework includes a new consumer-centric monitoring infrastructure and customisable components for sensing, monitoring, analysing and actuation according to application-level scaling policies without modifying an existing application. We evaluated our framework using a modified Web 2.0 application benchmark. The results demonstrate the framework's ability to provide application-level flexibility in achieving improved throughput, data freshness (different levels of consistency) and monetary saving.","PeriodicalId":116686,"journal":{"name":"Proceedings of the WICSA/ECSA 2012 Companion Volume","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132009528","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}
Jürgen Musil, Angelika Musil, D. Winkler, S. Biffl
Modern software platforms often depend on networks of user-generated content. Although such platforms are very popular, their architectural concepts and underlying system dynamics are not yet fully understood. This paper uses stigmergy, a form of indirect communication and self-organization, as basis for framing certain groups of software services in order to propose an architectural concept of stigmergic information systems and describe identified key fields (actor base, architecture, software ecosystem) influencing them. Thus enabling the creation of better solution stack configurations needed to support effective and efficient development of such services.
{"title":"A first account on stigmergic information systems and their impact on platform development","authors":"Jürgen Musil, Angelika Musil, D. Winkler, S. Biffl","doi":"10.1145/2361999.2362010","DOIUrl":"https://doi.org/10.1145/2361999.2362010","url":null,"abstract":"Modern software platforms often depend on networks of user-generated content. Although such platforms are very popular, their architectural concepts and underlying system dynamics are not yet fully understood. This paper uses stigmergy, a form of indirect communication and self-organization, as basis for framing certain groups of software services in order to propose an architectural concept of stigmergic information systems and describe identified key fields (actor base, architecture, software ecosystem) influencing them. Thus enabling the creation of better solution stack configurations needed to support effective and efficient development of such services.","PeriodicalId":116686,"journal":{"name":"Proceedings of the WICSA/ECSA 2012 Companion Volume","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128908575","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}
By allowing resources to be acquired on-demand and in variable amounts, cloud computing provides an appealing environment for deploying pilot projects and for performance testing of Web applications and services. However, setting up cloud environments for performance testing still requires a significant amount of manual effort. To aid performance engineers in this task, we developed a framework that integrates several common benchmarking and monitoring tools. The framework helps performance engineers to test applications under various configurations and loads. Furthermore, the framework supports dynamic server allocation based on incoming load using a response-time-aware heuristics. We validated the framework by deploying and stress-testing the MediaWiki application. An experimental evaluation was conducted aimed at comparing the response-time-aware heuristics against Amazon Auto-Scale.
{"title":"Framework for monitoring and testing web application scalability on the cloud","authors":"Martti Vasar, S. Srirama, M. Dumas","doi":"10.1145/2361999.2362008","DOIUrl":"https://doi.org/10.1145/2361999.2362008","url":null,"abstract":"By allowing resources to be acquired on-demand and in variable amounts, cloud computing provides an appealing environment for deploying pilot projects and for performance testing of Web applications and services. However, setting up cloud environments for performance testing still requires a significant amount of manual effort. To aid performance engineers in this task, we developed a framework that integrates several common benchmarking and monitoring tools. The framework helps performance engineers to test applications under various configurations and loads. Furthermore, the framework supports dynamic server allocation based on incoming load using a response-time-aware heuristics. We validated the framework by deploying and stress-testing the MediaWiki application. An experimental evaluation was conducted aimed at comparing the response-time-aware heuristics against Amazon Auto-Scale.","PeriodicalId":116686,"journal":{"name":"Proceedings of the WICSA/ECSA 2012 Companion Volume","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115680521","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}
In industry, enterprises have many software systems to be modernized and made available as added-value services. Identification of migration strategies and practices for service engineering is critical for successful legacy migration, and SOA adoption in industrial setting. This paper presents the results of an interview survey on the migration strategies in industry. The purpose of this paper is twofold: 1) to discover the migration strategies that industrial practice adopts 2) to identify the benefits of making such strategies explicit. Results of the survey have been analyzed in terms of migration activities and the available knowledge assets. As a result, we generalize the practice of industrial migration into a Lean & Mean SOA migration strategy. In addition, the uses of the strategy pinpoint promising industry-relevant research directions.
{"title":"A lean and mean strategy for migration to services","authors":"M. Razavian, P. Lago","doi":"10.1145/2361999.2362009","DOIUrl":"https://doi.org/10.1145/2361999.2362009","url":null,"abstract":"In industry, enterprises have many software systems to be modernized and made available as added-value services. Identification of migration strategies and practices for service engineering is critical for successful legacy migration, and SOA adoption in industrial setting. This paper presents the results of an interview survey on the migration strategies in industry. The purpose of this paper is twofold: 1) to discover the migration strategies that industrial practice adopts 2) to identify the benefits of making such strategies explicit. Results of the survey have been analyzed in terms of migration activities and the available knowledge assets. As a result, we generalize the practice of industrial migration into a Lean & Mean SOA migration strategy. In addition, the uses of the strategy pinpoint promising industry-relevant research directions.","PeriodicalId":116686,"journal":{"name":"Proceedings of the WICSA/ECSA 2012 Companion Volume","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127351993","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}
Architectural Knowledge (AK) is defined as the integrated representation of the software architecture of a software-intensive system or family of systems along with architectural decisions and their rationale, external influence and the development environment. The SHARK workshop series focuses on current methods, languages, and tools that can be used to extract, represent, share, apply, and reuse AK, and the experimentation and/or exploitation thereof. In this seventh SHARK workshop we will focus on current approaches tackling the problem of supporting the software engineering tasks driven by or producing architectural knowledge.
{"title":"Workshop on SHAring and Reusing architectural Knowledge (SHARK 2012)","authors":"Uwe Zdun, Rafael Capilla","doi":"10.1145/2361999.2362019","DOIUrl":"https://doi.org/10.1145/2361999.2362019","url":null,"abstract":"Architectural Knowledge (AK) is defined as the integrated representation of the software architecture of a software-intensive system or family of systems along with architectural decisions and their rationale, external influence and the development environment. The SHARK workshop series focuses on current methods, languages, and tools that can be used to extract, represent, share, apply, and reuse AK, and the experimentation and/or exploitation thereof. In this seventh SHARK workshop we will focus on current approaches tackling the problem of supporting the software engineering tasks driven by or producing architectural knowledge.","PeriodicalId":116686,"journal":{"name":"Proceedings of the WICSA/ECSA 2012 Companion Volume","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122514526","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}
M. Babar, Parastoo Mohagheghi, Åke Edlund, Sébastien Mosser, T. Mikkonen, Peep Küngas
This is an introduction to the NordiCloud Symposium collocated with WICSA/ECSA 2012.
这是对与WICSA/ECSA 2012同期举办的NordiCloud研讨会的介绍。
{"title":"Nordic Symposium on Cloud Computing and Internet Technologies (NordiCloud)","authors":"M. Babar, Parastoo Mohagheghi, Åke Edlund, Sébastien Mosser, T. Mikkonen, Peep Küngas","doi":"10.1145/2361999.2362001","DOIUrl":"https://doi.org/10.1145/2361999.2362001","url":null,"abstract":"This is an introduction to the NordiCloud Symposium collocated with WICSA/ECSA 2012.","PeriodicalId":116686,"journal":{"name":"Proceedings of the WICSA/ECSA 2012 Companion Volume","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131770338","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}
Varvana Myllärniemi, Mikko Ylikangas, M. Raatikainen, Jari Pääkkö, T. Männistö, T. Aaltonen
Variability in software architectures, and especially dynamic variability in software architectures, calls for tool support. The complexity involved in the variability means that tools should be able to efficiently derive architectures at runtime. Our contribution is to offer concepts and an expository instantiation of Configurator-as-a-Service (CaaS). CaaS provides integrability, separation of derivation concerns, and automation. The approach is validated with a case of social devices, where proximity-based, distributed service compositions of mobile devices are derived at runtime.
{"title":"Configurator-as-a-service: tool support for deriving software architectures at runtime","authors":"Varvana Myllärniemi, Mikko Ylikangas, M. Raatikainen, Jari Pääkkö, T. Männistö, T. Aaltonen","doi":"10.1145/2361999.2362031","DOIUrl":"https://doi.org/10.1145/2361999.2362031","url":null,"abstract":"Variability in software architectures, and especially dynamic variability in software architectures, calls for tool support. The complexity involved in the variability means that tools should be able to efficiently derive architectures at runtime. Our contribution is to offer concepts and an expository instantiation of Configurator-as-a-Service (CaaS). CaaS provides integrability, separation of derivation concerns, and automation. The approach is validated with a case of social devices, where proximity-based, distributed service compositions of mobile devices are derived at runtime.","PeriodicalId":116686,"journal":{"name":"Proceedings of the WICSA/ECSA 2012 Companion Volume","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132764528","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}
Nattakarn Phaphoom, Nilay V. Oza, Xiaofeng Wang, P. Abrahamsson
Cloud computing has captured the attention of both the researchers and practitioners alike. Companies and other cloud users are expecting to receive significant benefits from the new cloud based technologies. To what extent these benefits materialize for enterprise IT is not clearly understood. In this paper, we examine the perceived benefits of cloud computing from the cloud users' perspectives. Cloud users include users of SaaS/PaaS/IaaS, ranging from end-users, to service developers and system administrators. Using content analysis techniques, we examine one of the major discussion forums of cloud computing. Rather than offering a yes/no answer to the question posed, we offer five empirically drawn insights on the perceived benefits of cloud computing. It is proposed that the empirical insights gained are valuable to both researchers and practitioners. The value lies in a more holistic view on the promised benefits' landscape.
{"title":"Does cloud computing deliver the promised benefits for IT industry?","authors":"Nattakarn Phaphoom, Nilay V. Oza, Xiaofeng Wang, P. Abrahamsson","doi":"10.1145/2361999.2362007","DOIUrl":"https://doi.org/10.1145/2361999.2362007","url":null,"abstract":"Cloud computing has captured the attention of both the researchers and practitioners alike. Companies and other cloud users are expecting to receive significant benefits from the new cloud based technologies. To what extent these benefits materialize for enterprise IT is not clearly understood. In this paper, we examine the perceived benefits of cloud computing from the cloud users' perspectives. Cloud users include users of SaaS/PaaS/IaaS, ranging from end-users, to service developers and system administrators. Using content analysis techniques, we examine one of the major discussion forums of cloud computing. Rather than offering a yes/no answer to the question posed, we offer five empirically drawn insights on the perceived benefits of cloud computing. It is proposed that the empirical insights gained are valuable to both researchers and practitioners. The value lies in a more holistic view on the promised benefits' landscape.","PeriodicalId":116686,"journal":{"name":"Proceedings of the WICSA/ECSA 2012 Companion Volume","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126569237","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}
Intended as a survey for practicing architects and researchers seeking an overview of the state-of-the-art architectures for data analysis, this paper provides an overview of the emerging data management and analytic platforms including parallel databases, Hadoop-based systems, High Performance Computing (HPC) platforms and platforms popularly referred to as NoSQL platforms. Platforms are presented based on their relevance, analysis they support and the data organization model they support.
{"title":"A short survey on the state of the art in architectures and platforms for large scale data analysis and knowledge discovery from data","authors":"Edmon Begoli","doi":"10.1145/2361999.2362039","DOIUrl":"https://doi.org/10.1145/2361999.2362039","url":null,"abstract":"Intended as a survey for practicing architects and researchers seeking an overview of the state-of-the-art architectures for data analysis, this paper provides an overview of the emerging data management and analytic platforms including parallel databases, Hadoop-based systems, High Performance Computing (HPC) platforms and platforms popularly referred to as NoSQL platforms. Platforms are presented based on their relevance, analysis they support and the data organization model they support.","PeriodicalId":116686,"journal":{"name":"Proceedings of the WICSA/ECSA 2012 Companion Volume","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125185912","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}
Service architectures continuously evolve as a consequence of frequent business and technical change cycles. Architecture change log data represents a source of evolution-centric information in terms of intent, scope and operationalisation to accommodate changing requirements in existing architecture. We investigate change logs in order to analyse operational representation of architecture change instances to discover an implicit evolution-centric knowledge that have been aggregating over time. Change instances from the log are formalised as a typed attributed graph with its node and edge attribution capturing change representation on architecture elements. We exploit graph matching as a knowledge discovery technique in order to i) analyse change operationalisation and its dependencies for ii) discovering re-current change sequences in the log. We identify potentially reusable, usage-determined change patterns.
{"title":"Graph-based implicit knowledge discovery from architecture change logs","authors":"Aakash Ahmad, Pooyan Jamshidi, M. Arshad, C. Pahl","doi":"10.1145/2361999.2362024","DOIUrl":"https://doi.org/10.1145/2361999.2362024","url":null,"abstract":"Service architectures continuously evolve as a consequence of frequent business and technical change cycles. Architecture change log data represents a source of evolution-centric information in terms of intent, scope and operationalisation to accommodate changing requirements in existing architecture. We investigate change logs in order to analyse operational representation of architecture change instances to discover an implicit evolution-centric knowledge that have been aggregating over time. Change instances from the log are formalised as a typed attributed graph with its node and edge attribution capturing change representation on architecture elements. We exploit graph matching as a knowledge discovery technique in order to i) analyse change operationalisation and its dependencies for ii) discovering re-current change sequences in the log. We identify potentially reusable, usage-determined change patterns.","PeriodicalId":116686,"journal":{"name":"Proceedings of the WICSA/ECSA 2012 Companion Volume","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121919688","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：