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Chapter and Conference Paper
Semantics-Driven Learning for Microservice Annotations
Annotations are program metadata that generates code and configuration files, among others. Different frameworks provide annotations to facilitate the implementation of microservice applications while their ab...
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Chapter and Conference Paper
Mining the Limits of Granularity for Microservice Annotations
Microservice architecture style advocates the design and coupling of highly independent services. Various granularity dimensions of the constituent services have been proposed to measure the complexity and ref...
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Chapter and Conference Paper
A Market-Based Approach for Detecting Malware in the Cloud via Introspection
Traditional anti-virus (AV) solutions are known for their considerable consumption of resources, limiting their usefulness on the cloud. In contrast, cloud-based lightweight malware monitoring approaches consu...
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Chapter and Conference Paper
A Debt-Aware Learning Approach for Resource Adaptations in Cloud Elasticity Management
Elasticity is a cloud property that enables applications and their execution systems to dynamically acquire and release shared computational resources on demand. Moreover, it unfolds the advantage of economies...
