Containers are a lightweight OS-level virtualization abstraction Primarily based on namespace isolation and control groups. A container is a software environment where one can install an application or application component (the so called micro service) and all the library dependencies, the binaries, and a basic configuration needed to run the application. Containers Provide a higher level of abstraction for the process lifecycle management, with the probability not only to start / stop but overpriced to upgrade and release a new version of a containerized service in a seamless way. Container packaging mechanisms like Docker, LXD and RKT, as well as management frameworks like Kubernetes, Cloudify, Mesos, etc., are witnessing widespread adoption in the Cloud, Big Data and the Internet industry today. Indeed, containers May solve many issues, eg, application dependencies; Application portability; performance overhead.
That despite Wide interest in containers, we are far away from the maturity stage and there are still many open research issues. This workshop ice Specifically focused on the challenge of autonomic management of large-scale container based systems.
Performance modeling of container based systems
Monitoring of container based systems
Characterization of containerized workload
Orchestration models, mechanisms and policies for large-scale deployments
Resource management at run time
Autonomic management of large-scale container-based systems
Management of container in cloud networking (eg NFV)
Use cases and challenges for the management / orchestration of large-scale container-based systems – Cloud, HPC, Big
Data, IoT applications and Internet / Network Services
09月18日
2017
会议日期
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