Pub Date : 2009-05-23DOI: 10.1109/CLOUD.2009.5071530
Jan S. Rellermeyer, M. Duller, G. Alonso
Cloud computing faces many of the challenges and difficulties of distributed and parallel software. While the service interface hides the actual application from the remote user, the application developer still needs to come to terms with distributed software that needs to run on dynamic clusters and operate under a wide range of configurations. In this paper, we outline our vision of a model and runtime platform for the development, deployment, and management of software applications on the cloud. Our basic idea is to turn the notion of software module into a first class entity used for management and distribution that can be autonomously managed by the underlying software fabric of the cloud. In the paper we present our model, outline an initial implementation, and describe a first application developed using the ideas presented in the paper.
{"title":"Engineering the cloud from software modules","authors":"Jan S. Rellermeyer, M. Duller, G. Alonso","doi":"10.1109/CLOUD.2009.5071530","DOIUrl":"https://doi.org/10.1109/CLOUD.2009.5071530","url":null,"abstract":"Cloud computing faces many of the challenges and difficulties of distributed and parallel software. While the service interface hides the actual application from the remote user, the application developer still needs to come to terms with distributed software that needs to run on dynamic clusters and operate under a wide range of configurations. In this paper, we outline our vision of a model and runtime platform for the development, deployment, and management of software applications on the cloud. Our basic idea is to turn the notion of software module into a first class entity used for management and distribution that can be autonomously managed by the underlying software fabric of the cloud. In the paper we present our model, outline an initial implementation, and describe a first application developed using the ideas presented in the paper.","PeriodicalId":104079,"journal":{"name":"2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129828743","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 : 2009-05-23DOI: 10.1109/CLOUD.2009.5071532
Siani Pearson
Privacy is an important issue for cloud computing, both in terms of legal compliance and user trust, and needs to be considered at every phase of design. In this paper the privacy challenges that software engineers face when targeting the cloud as their production environment to offer services are assessed, and key design principles to address these are suggested.
{"title":"Taking account of privacy when designing cloud computing services","authors":"Siani Pearson","doi":"10.1109/CLOUD.2009.5071532","DOIUrl":"https://doi.org/10.1109/CLOUD.2009.5071532","url":null,"abstract":"Privacy is an important issue for cloud computing, both in terms of legal compliance and user trust, and needs to be considered at every phase of design. In this paper the privacy challenges that software engineers face when targeting the cloud as their production environment to offer services are assessed, and key design principles to address these are suggested.","PeriodicalId":104079,"journal":{"name":"2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132526209","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 : 2009-05-23DOI: 10.1109/CLOUD.2009.5071534
Sander van der Burg, Merijn de Jonge, E. Dolstra, E. Visser
Hospital environments are currently primarily device-oriented: software services are installed, often manually, on specific devices. For instance, an application to view MRI scans may only be available on a limited number of workstations. The medical world is changing to a service-oriented environment, which means that every software service should be available on every device. However, these devices have widely varying capabilities, ranging from powerful workstations to PDAs, and high-bandwidth local machines to low-bandwidth remote machines. To support running applications in such an environment, we need to treat the hospital machines as a cloud, where components of the application are automatically deployed to machines in the cloud with the required capabilities and connectivity. In this paper, we suggest an architecture for applications in such a cloud, in which components are reliably and automatically deployed on the basis of a declarative model of the application using the Nix package manager.
{"title":"Software deployment in a dynamic cloud: From device to service orientation in a hospital environment","authors":"Sander van der Burg, Merijn de Jonge, E. Dolstra, E. Visser","doi":"10.1109/CLOUD.2009.5071534","DOIUrl":"https://doi.org/10.1109/CLOUD.2009.5071534","url":null,"abstract":"Hospital environments are currently primarily device-oriented: software services are installed, often manually, on specific devices. For instance, an application to view MRI scans may only be available on a limited number of workstations. The medical world is changing to a service-oriented environment, which means that every software service should be available on every device. However, these devices have widely varying capabilities, ranging from powerful workstations to PDAs, and high-bandwidth local machines to low-bandwidth remote machines. To support running applications in such an environment, we need to treat the hospital machines as a cloud, where components of the application are automatically deployed to machines in the cloud with the required capabilities and connectivity. In this paper, we suggest an architecture for applications in such a cloud, in which components are reliably and automatically deployed on the basis of a declarative model of the application using the Nix package manager.","PeriodicalId":104079,"journal":{"name":"2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125788587","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 : 2009-05-23DOI: 10.1109/CLOUD.2009.5071531
Chris Matthews, Y. Coady
Virtualization provides a coarse-grained isolation mechanism that results in large systems, with full operating systems and a complete software stack as their foundation. Though much of this foundation is not strictly necessary, the programmatic burden of building systems at a finer-granularity, on a smaller foundation, has previously been shown to be prohibitive. The aim of this work is to revisit this tension, and present an alternative, lightweight and composable approach to virtualization that we call MacroComponents—software components that run in isolation from the rest of the system, but without the full foundations of their more traditionally virtualized counterparts. We argue that this approach will provide a more scalable and sustainable approach for composing robust services in cloud environments, both in terms of dynamic system properties and software engineering qualities.
{"title":"Virtualized recomposition: Cloudy or clear?","authors":"Chris Matthews, Y. Coady","doi":"10.1109/CLOUD.2009.5071531","DOIUrl":"https://doi.org/10.1109/CLOUD.2009.5071531","url":null,"abstract":"Virtualization provides a coarse-grained isolation mechanism that results in large systems, with full operating systems and a complete software stack as their foundation. Though much of this foundation is not strictly necessary, the programmatic burden of building systems at a finer-granularity, on a smaller foundation, has previously been shown to be prohibitive. The aim of this work is to revisit this tension, and present an alternative, lightweight and composable approach to virtualization that we call MacroComponents—software components that run in isolation from the rest of the system, but without the full foundations of their more traditionally virtualized counterparts. We argue that this approach will provide a more scalable and sustainable approach for composing robust services in cloud environments, both in terms of dynamic system properties and software engineering qualities.","PeriodicalId":104079,"journal":{"name":"2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124865749","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 : 2009-05-23DOI: 10.1109/CLOUD.2009.5071529
Alexander Lenk, Markus Klems, Jens Nimis, S. Tai, Thomas Sandholm
We propose an integrated Cloud computing stack architecture to serve as a reference point for future mash-ups and comparative studies. We also show how the existing Cloud landscape maps into this architecture and identify an infrastructure gap that we plan to address in future work.
{"title":"What's inside the Cloud? An architectural map of the Cloud landscape","authors":"Alexander Lenk, Markus Klems, Jens Nimis, S. Tai, Thomas Sandholm","doi":"10.1109/CLOUD.2009.5071529","DOIUrl":"https://doi.org/10.1109/CLOUD.2009.5071529","url":null,"abstract":"We propose an integrated Cloud computing stack architecture to serve as a reference point for future mash-ups and comparative studies. We also show how the existing Cloud landscape maps into this architecture and identify an infrastructure gap that we plan to address in future work.","PeriodicalId":104079,"journal":{"name":"2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117072302","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 : 2009-05-23DOI: 10.1109/CLOUD.2009.5071533
C. Ragusa, F. Longo, A. Puliafito
Market competitiveness puts enormous pressures over companies to be agile in providing their offers and adapt to fast changes. In such context, resource dimensioning is an hard and risky task which may lead companies to underprovision their data-center, and therefore be unable to cope with peak loads, or to overprovision it, and not fullfill their ROI. Cloud computing ought to provide such ability. In a previous work, we presented our solution for multi-tier web-based application hosting over a gLite based infrastructure. In this paper, we present a further development of our system towards the Cloud model. A scenario describing our system in action is also discussed.
{"title":"Experiencing with the Cloud over gLite","authors":"C. Ragusa, F. Longo, A. Puliafito","doi":"10.1109/CLOUD.2009.5071533","DOIUrl":"https://doi.org/10.1109/CLOUD.2009.5071533","url":null,"abstract":"Market competitiveness puts enormous pressures over companies to be agile in providing their offers and adapt to fast changes. In such context, resource dimensioning is an hard and risky task which may lead companies to underprovision their data-center, and therefore be unable to cope with peak loads, or to overprovision it, and not fullfill their ROI. Cloud computing ought to provide such ability. In a previous work, we presented our solution for multi-tier web-based application hosting over a gLite based infrastructure. In this paper, we present a further development of our system towards the Cloud model. A scenario describing our system in action is also discussed.","PeriodicalId":104079,"journal":{"name":"2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133863802","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 : 2009-05-23DOI: 10.1109/CLOUD.2009.5071528
J. Li, J. Chinneck, M. Woodside, Marin Litoiu, Gabriel Iszlai
This paper presents a method for achieving optimization in clouds by using performance models in the development, deployment and operations of the applications running in the cloud. We show the architecture of the cloud, the services offered by the cloud to support optimization and the methodology used by developers to enable runtime optimization of the clouds. An optimization algorithm is presented which accommodates different goals, different scopes and timescales of optimization actions, and different control algorithms. The optimization here maximizes profits in the cloud constrained by QoS and SLAs across a large variety of workloads.
{"title":"Performance model driven QoS guarantees and optimization in clouds","authors":"J. Li, J. Chinneck, M. Woodside, Marin Litoiu, Gabriel Iszlai","doi":"10.1109/CLOUD.2009.5071528","DOIUrl":"https://doi.org/10.1109/CLOUD.2009.5071528","url":null,"abstract":"This paper presents a method for achieving optimization in clouds by using performance models in the development, deployment and operations of the applications running in the cloud. We show the architecture of the cloud, the services offered by the cloud to support optimization and the methodology used by developers to enable runtime optimization of the clouds. An optimization algorithm is presented which accommodates different goals, different scopes and timescales of optimization actions, and different control algorithms. The optimization here maximizes profits in the cloud constrained by QoS and SLAs across a large variety of workloads.","PeriodicalId":104079,"journal":{"name":"2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130546437","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 : 2009-05-23DOI: 10.1109/CLOUD.2009.5071526
Hien Nguyen Van, Frederic Dang Tran, Jean-Marc Menaud
Cloud platforms host several independent applications on a shared resource pool with the ability to allocate computing power to applications on a per-demand basis. The use of server virtualization techniques for such platforms provide great flexibility with the ability to consolidate several virtual machines on the same physical server, to resize a virtual machine capacity and to migrate virtual machine across physical servers. A key challenge for cloud providers is to automate the management of virtual servers while taking into account both high-level QoS requirements of hosted applications and resource management costs. This paper proposes an autonomic resource manager to control the virtualized environment which decouples the provisioning of resources from the dynamic placement of virtual machines. This manager aims to optimize a global utility function which integrates both the degree of SLA fulfillment and the operating costs. We resort to a Constraint Programming approach to formulate and solve the optimization problem. Results obtained through simulations validate our approach.
{"title":"Autonomic virtual resource management for service hosting platforms","authors":"Hien Nguyen Van, Frederic Dang Tran, Jean-Marc Menaud","doi":"10.1109/CLOUD.2009.5071526","DOIUrl":"https://doi.org/10.1109/CLOUD.2009.5071526","url":null,"abstract":"Cloud platforms host several independent applications on a shared resource pool with the ability to allocate computing power to applications on a per-demand basis. The use of server virtualization techniques for such platforms provide great flexibility with the ability to consolidate several virtual machines on the same physical server, to resize a virtual machine capacity and to migrate virtual machine across physical servers. A key challenge for cloud providers is to automate the management of virtual servers while taking into account both high-level QoS requirements of hosted applications and resource management costs. This paper proposes an autonomic resource manager to control the virtualized environment which decouples the provisioning of resources from the dynamic placement of virtual machines. This manager aims to optimize a global utility function which integrates both the degree of SLA fulfillment and the operating costs. We resort to a Constraint Programming approach to formulate and solve the optimization problem. Results obtained through simulations validate our approach.","PeriodicalId":104079,"journal":{"name":"2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132247427","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 : 2009-05-23DOI: 10.1109/CLOUD.2009.5071527
A. Stage, Thomas Setzer
Server virtualization enables dynamic workload management for data centers. However, especially live migrations of virtual machines (VM) induce significant overheads on physical hosts and the shared network infrastructure possibly leading to host overloads and SLA violations of co-hosted applications. While some recent work addresses the impact of live migrations on CPUs of physical hosts, little attention has been given to the control and optimization of migration algorithms and migration-related network bandwidth consumption. In this paper we introduce network topology aware scheduling models for VM live migrations. We propose a scheme for classifying VMs based on their workload characteristics and propose adequate resource and migration scheduling models for each class, taking network bandwidth requirements of migrations and network topologies into account. We also underline the necessity for additional migration control parameters for efficient migration scheduling.
{"title":"Network-aware migration control and scheduling of differentiated virtual machine workloads","authors":"A. Stage, Thomas Setzer","doi":"10.1109/CLOUD.2009.5071527","DOIUrl":"https://doi.org/10.1109/CLOUD.2009.5071527","url":null,"abstract":"Server virtualization enables dynamic workload management for data centers. However, especially live migrations of virtual machines (VM) induce significant overheads on physical hosts and the shared network infrastructure possibly leading to host overloads and SLA violations of co-hosted applications. While some recent work addresses the impact of live migrations on CPUs of physical hosts, little attention has been given to the control and optimization of migration algorithms and migration-related network bandwidth consumption. In this paper we introduce network topology aware scheduling models for VM live migrations. We propose a scheme for classifying VMs based on their workload characteristics and propose adequate resource and migration scheduling models for each class, taking network bandwidth requirements of migrations and network topologies into account. We also underline the necessity for additional migration control parameters for efficient migration scheduling.","PeriodicalId":104079,"journal":{"name":"2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128097179","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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