Forecasting resource availability for supporting real-time container migration
Suresh Babu, Vishakh
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https://hdl.handle.net/2142/116124
Description
Title
Forecasting resource availability for supporting real-time container migration
Author(s)
Suresh Babu, Vishakh
Issue Date
2022-07-21
Director of Research (if dissertation) or Advisor (if thesis)
Mohan, Sibin
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Real-time
Container
Migration
Forecasting
Abstract
Hard real-time applications have stringent response time requirements and failure to meet the deadlines can have catastrophic consequences. With the success of the edge computing paradigm, more edge applications have real-time requirements. User mobility and multi-tenancy on the edge nodes create new challenges for these real-time applications running inside containers. These problems can be resolved by migrating the container along with all of the underlying files to a new node where the application can run safely. However, single-target migration is prone to failure due to network issues or system crashes at the target. It is also hard to guarantee that applications will meet their real-time requirements during (or even after) the migration process.
To this end, we propose a framework for planning reliable real-time container migration. This framework monitors the container and nodes in the network and accurately predicts the future resource availability of the nodes. The forecasts are used to identify a subset of nodes that have sufficient resources to run the container. We migrate to multiple nodes in parallel to make it resilient to network issues and crashes.
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