Hotspot-Aware Workload Scheduling and Server Placement for Heterogeneous Cloud Data Centers
نویسندگان
چکیده
Data center servers located in thermal hotspot regions receive inlet air at a higher than the set temperature and thus generate comparatively high outlet temperature. Consequently, there is rise energy that consumed to cool down otherwise would undergo reliability hazards. The workload deployment across should be resilient hotspots ensure smooth performance. In heterogeneous data environment, an equally important fact placement of hotspot-aware manner lower peak temperatures. These approaches can applied proactively with help prediction. This paper presents adaptive algorithm (HAWDA) aware server relocation (HASRA) based on profiling regarding HAWDA deploys thermal-efficient HASRA optimizes location Performance comparison carried out analyze efficacy against TASA GRANITE algorithms. Results suggest provides average utilization similar without additional burden cooling mechanism, relocation, as minimizes
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ژورنال
عنوان ژورنال: Energies
سال: 2022
ISSN: ['1996-1073']
DOI: https://doi.org/10.3390/en15072541