Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Resource optimization of container orchestration: a case study in multi-cloud microservices-based applications
Stochastic Resource Provisioning for Containerized Multi-Tier Web Services in Clouds
Leveraging Linux Containers to Achieve High Availability for Cloud Services
Application Oriented Dynamic Resource Allocation for Data Centers Using Docker Containers
Integrated and autonomic cloud resource scaling
A Holistic Evaluation of Docker Containers for Interfering Microservices
Network Service Orchestration: A Survey
A Multi-Cloud Framework for Measuring and Describing Performance Aspects of Cloud Services Across Different Application Types
Open Issues in Scheduling Microservices in the Cloud
CQSTR: Securing Cross-Tenant Applications with Cloud Containers
Lightweight Resource Scaling for Cloud Applications
Docker Containers across Multiple Clouds and Data Centers
OPTIMIS : A holistic approach to cloud service provisioning
ATOM : Efficient Tracking, Monitoring, and Orchestration of Cloud Resources
Practical Use of Microservices in Moving Workloads to the Cloud
Security-as-a-Service for Microservices-Based Cloud Applications
ContainerCloudSim: An environment for modeling and simulation of containers in cloud data centers
Modelling performance & resource management in kubernetes
Auto-scaling to minimize cost and meet application deadlines in cloud workflows
Dynamic Resource Allocation Algorithm for Container-Based Service Computing
MODAClouds: a model-driven approach for the design and execution of applications on multiple clouds
Classification and comparison of architecture evolution reuse knowledge-a systematic review
Designing Digital Mindfulness: Presence-In and Presence-With versus Presence-Through
Improved Knowledge Graph Embedding using Background Taxonomic Information
Transmembrane Mucins: Signaling Receptors at the Intersection of Inflammation and Cancer
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing