Description:The drawing appended herein depicts a block-level architectural diagram of a Carbon-Aware Scheduling System aimed at optimizing workload execution within cloud data centers based on energy consumption patterns and carbon emission metrics.
Figure 1 illustrates a system consisting of the following core components:
1. Workload Profiler:
This module performs real-time analysis of incoming user workloads. It profiles the workloads in terms of CPU, memory, storage, and latency requirements, along with execution patterns (e.g., batch, real-time). The profiling data is forwarded to the Carbon-Aware Scheduler.
2. Carbon-Aware Scheduler:
Operates as the central intelligence of the system. Based on the workload characteristics received from the profiler and real-time energy data (including carbon intensity), it determines the optimal data center resources (physical or virtual machines) to execute each workload. It prioritizes locations and times of execution with lower carbon impact.
3. Load Balancer:
Receives the sched , C , C , C , Claims:1. A system for carbon-aware workload scheduling in cloud data centers, comprising: a Workload Profiler configured to analyze characteristics of computational workloads; a Carbon-Aware Scheduler communicatively coupled to the Workload Profiler, configured to: receive profiled workload information; integrate carbon intensity data from a plurality of Cloud Data Centers; and determine an optimal Cloud Data Center for each computational workload based on the profiled workload information and the carbon intensity data, prioritizing data centers with lower carbon footprints; a Load Balancer communicatively coupled to the Carbon-Aware Scheduler, configured to distribute the computational workloads to the determined optimal Cloud Data Center(s); an Energy Monitor communicatively coupled to the Cloud Data Center(s), configured to monitor real-time energy consumption and associated carbon emissions of executed workloads; and a Feedback & Learning Module communicatively coupled to the Energy Monitor and the Carbon-Aware