Description

Cloud computing has recently been the focus of attention both as academic research and industrial initiatives. Major IT companies and start-ups envision cloud computing as i) an economic strategy to meet business objectives cost effectively and ii) a way to remain competitive by exploiting technical resources efficiently. From a business point of view, organizations can benefit from the on-demand and pay-per-use model offered by cloud services rather than an upfront purchase of costly and over-provisioned infrastructure. From a technological perspective, the scalability, interoperability, and efficient (de-)allocation of resources through cloud services can enable a smooth execution of organizational operations. 

Given the potential benefits of cloudification, an increasing number of organizational business-critical applications – so-called legacy systems – are being migrated to cloud environments. Regardless of the benefits of cloudification, many organizations still rely on legacy software systems developed over the lifetime of an organization using traditional development methods. In spite of the maintainability issues, (on-premise) legacy systems are still crucial as they support core business processes that cannot simply be replaced. Therefore, migrating legacy systems towards cloud-based platforms allows organizations to leverage their existing systems deployed (over publicly available resources) as scalable cloud services. 

Call for paper

Important Dates

Draft paper submission deadline:2017-07-15

Draft paper acceptance notification:2017-08-15

Abstract submission deadline:2017-07-08

Final paper submission deadline:2017-08-30

Topics of submission

We solicit original high-quality papers focused on different areas of research and practices on cloud adoption and migration based on (but not limited to) the following topics: 

  • Processes, patterns, and frameworks 

  • Cloud migration strategies 

  • Cloud migration processes 

  • Cloud migration best practices 

  • Cloud migration patterns, styles, and tactics 

  • Cloud migration reference models 

  • Migration verification and validation 

  • Empirical studies 

  • Empirical studies, secondary studies or surveys on cloud migration 

  • Cloud migration lessons learned 

  • Industrial case studies or experience reports on cloud migration 

  • Crosscutting concerns 

  • Tool support for cloud migration 

  • Governance in cloud migration 

  • Cloud migration project management and planning 

  • Crosscutting concerns in cloud migrations (security, training, organizational change) 

  • Effort and cost estimation in cloud migration 

  • Business models for cloud adoption and migration 

  • Pricing models of public clouds for migration 

  • Quality concerns in migration 

  • Software licensing and infrastructure procurement in cloud migration 

  • Privacy and law issues 

  • Architecture evolution, adaptation, and transformation 

  • Evolution, scaling, adaptation of cloud architectures 

  • Model-driven approaches for cloud migration 

  • Software architecture recovery for cloud migration 

  • Single tenant architecture transformation to multi-tenant architectures 

  • Adaptation of organizational business processes in cloud migration 

  • Adaptation of services and supporting infrastructure 

  • Cloud-friendly (re)design 

  • Programming support for cloud migration 

  • Infrastructure and data challenges 

  • Migration to XaaS (e.g., SaaS, PaaS, IaaS) delivery models 

  • Organizational data in cloud migration 

  • Data migration strategies in cloud 

  • Hybrid and multi-cloud migration 

  • Application distribution and portability in cloud migration 

  • Hybrid, multi-cloud deployment of application components 

  • Availability and resiliency in cloud migration 

  • Migrating to cloud using microservices 

  • Migrating monolithic architecture to microservice architecture 

  • Migrating to big data systems using Lambda Architecture (LA) 

  • From centralized governance to decentralized governance for microservices 

  • Service failure and resiliency in microservices and concerns in migration processes 

  • DevOps process and cloud migration 

  • Infrastructure automation for cloud migration 

  • Restructuring cross-functional teams to team organization around business capabilities 

  • DevOps and continuous development 

  • DevOps and cloud 

  • Containerisation for IaaS and PaaS

Message

Leave a message

Refresh

Contact information

  • claus.pahl@unibz.it