Green Computing and Sustainable Info Systems

The rapid growth of large-scale computing infrastructures has
significantly increased global energy consumption and associated
carbon emissions, making sustainability a critical concern in modern
information systems. Although numerous studies have addressed
energy efficiency in computing environments, most existing
approaches focus primarily on power reduction and often neglect
carbon-aware decision-making and system-level sustainability. To
address this gap, this study proposes an integrated green computing
framework for sustainable information systems that jointly optimizes
energy consumption, carbon emissions, and quality of service. The
proposed methodology incorporates energy-aware workload
scheduling, dynamic resource consolidation, and carbon-intensity–
based resource selection to minimize environmental impact under
varying workload conditions. Simulation-based evaluation
demonstrates that the proposed framework achieves an average
reduction of 22–28% in total energy consumption and up to 35%
under peak workloads, along with an approximate 30% decrease in
CO₂-equivalent emissions when compared with conventional resource management strategies. System performance is maintained within
acceptable limits, with response time degradation below 5%,
indicating an effective balance between sustainability and operational
efficiency. The results confirm that embedding sustainability-aware
mechanisms into information system design can substantially
enhance environmental performance without compromising service
quality, thereby offering a scalable and practical solution for nextgeneration green computing infrastructures.