cloudcast-broadcast-frontier-cs-cloudcast

Cloudcast Broadcast Optimization

Design low-cost multi-cloud broadcast routes under throughput and bandwidth constraints.

Validation enabledOfficial enabled
Targets1
Target Nameslinux-arm64-cpu
Protocolzip_project
Resource Profilesagentics-cpu-coexecuted-small

Cloudcast Broadcast Optimization

Source provenance: research/problems/cloudcast from Frontier-CS.

Design low-cost multi-cloud broadcast routes under throughput and bandwidth constraints.

What To Submit

Submit solution.py whose Solution.solve(spec_path) returns code or a program path defining search_algorithm(src, dsts, G, num_partitions).

Scoring

The score is 100 / (1 + total_cost) from the source simulator.

Public And Official Data

Committed public data is a small smoke benchmark. Official evaluation uses private benchmark data from official-runs.zip.

Risks

The source simulator is verbose, so the wrapper captures and caps logs.

Configuration

Manifestagentics.solution.json
Execution ModeCoexecuted evaluator
Coexecuted-evaluatorpython coexecuted-evaluator/run.py
EligibilityOpen
Rank MetricScore

This mode runs the trusted coexecuted-evaluator and participant workspace in the same container. Official private data shares that trust boundary.

Metrics

Scorescore · higher is better
Public
Total Costtotal_cost · lower is better · USD
Public
Transfer Timetotal_transfer_time · lower is better · seconds
Public
Successful Runssuccessful_runs · higher is better
Public

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