System to place and protect interruptible workloads in cloud environment

An apparatus for resource allocation in a distributed wide area network, comprising:

• one or more memories storing computer-executable instructions;
• and
• one or more processors, individually or in combination, configured to execute the computer-executable instructions to:
• predict, using one or more machine-learning algorithms, a rate of requests for priority uninterruptible workloads and a capacity for the priority uninterruptible workloads during a future time period;
• receive a plurality of requests for interruptible workloads;
• determine to protect at least one of the interruptible workloads during the future time period based on the rate of requests and the capacity;
• and
• guarantee resources to the at least one interruptible workload as a protected workload for the future time period.

A method of resource allocation in a distributed wide area network, comprising:

• predicting, using one or more machine-learning algorithms, based on network utilization and eviction information, a set of stable interruptible virtual machine (IVM) resources having an IVM capacity;
• receiving a plurality of requests for interruptible workloads;
• and
• allocating the interruptible workloads to the stable IVM resources up to the IVM capacity.

A method of resource allocation in a distributed wide area network, comprising:

• predicting, using one or more machine-learning algorithms, a rate of requests for priority uninterruptible workloads and a capacity for the priority uninterruptible workloads during a future time period;
• receiving a plurality of requests for interruptible workloads;
• determining to protect at least one of the interruptible workloads during the future time period based on the rate of requests and the capacity;
• and
• guaranteeing resources to the at least one interruptible workload as a protected workload for the future time period.