3rd International Workshop on Cloud Adoption and Migration CloudWays 2017

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活动简介

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 â€“ so-called legacy systems â€“ 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.

征稿信息

重要日期

2017-07-08

摘要截稿日期

2017-07-15

初稿截稿日期

2017-08-15

初稿录用日期

2017-08-30

终稿截稿日期

征稿范围

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