Improve the energy efficiency of datacenters with the awareness of workload variability

C Hu, Y Guo, Y Deng, L Lang - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
In modern datacenters, huge energy consumption is a significant problem that remains to be
solved. Previous works reduce the system energy consumption by switching the idle servers …

Leveraging N-1 queues to improve the energy efficiency of scalable computing

C Hu, H Luo, M Tang - IEEE Access, 2020 - ieeexplore.ieee.org
The clusters in a blockchain computing system can be constructed to be elastic, thus
supporting scalable computing and improving energy efficiency. To form an elastic cluster …

Sampling workloads with dynamic time scale to promote the energy efficiency of datacenters

C Hu, Y Zhou, R Ding - … on Internet of Things (iThings) and …, 2020 - ieeexplore.ieee.org
In modern datacenters (DCs), service resources are allowed to be partially supplied, thus
maintaining a good energy efficiency. To match the supplied service resources with the …

Reduce the energy cost of elastic clusters by queueing workloads with N-1 queues

C Hu, M Tang - Blockchain and Trustworthy Systems: First International …, 2020 - Springer
Abstract In Data Centers (DCs), elastic clusters are introduced to cut down the huge energy
cost. In elastic clusters, the number of working nodes can be manipulated based on the …

Extracting a Credible Hint of Response Time to Scale Resources in Elastic Clusters

C Hu, Y Deng - Journal of Circuits, Systems and Computers, 2020 - World Scientific
In elastic clusters, the service resources (or called “resources” for short) can be dynamically
scaled, thus providing opportunities to cut down the energy cost of redundant resources …