Self-aware software architecture style and patterns for cloud-based applications
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Summary
The self-aware cloud architecture and its reputation-aware coordination mechanism are quantitatively evaluated within the context of an Online Shopping application using synthetic and realistic workload datasets under various configurations (failure, scale, resilience levels etc.).
- Type
- dissertation
- Published
- 2015-07-01
- Cited by
- 0
- References
- 172
- Access
- Open access
- OpenAlex
- https://openalex.org/W837686760
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:39223988
Keywords
Cloud computing, Computer science, Architecture, Context (archaeology), Reputation
References
- Biologically-Inspired Computing Approaches To Cognitive Systems: a partial tour of the literature
- Rainbow: cost-effective software architecture-based self-adaptation
- The Handbook of Engineering Self-Aware and Self-Expressive Systems
- Automated Planning: Theory & Practice
- Dynamic data-driven framework for reputation management
- Software Engineering for Self-Adaptive Systems: A Research Roadmap
- Metrics for Software Adaptability
- Market-based control: a paradigm for distributed resource allocation
- Evaluating Software Architectures: Methods and Case Studies
- Nature-Inspired Computing Technology and Applications
- Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities
- Comparison of scenario-based software architecture evaluation methods
- Machine Nature: The Coming Age of Bio-Inspired Computing
- SEEC: A Framework for Self-aware Computing
- Autonomous resource provision in virtual data centers
- Academic Cloud Computing Research: Five Pitfalls and Five Opportunities
- Specification of service level agreements, clarifying concepts on the basis of practical research
- Rainbow: architecture-based self-adaptation with reusable infrastructure
- A Robust Reputation System for Mobile Ad-hoc Networks
- Resource Allocation with a Budget Constraint for Computing Independent Tasks in the Cloud
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