HRAV: Hierarchical virtual machine placement algorithm in multi-hierarchy RF cloud architecture
Seyed Milad Farzaneh, Omid Fatemi · Research Square · 2023
Abstract Finding the optimum virtual machine placement (VMP) approach in cloud infrastructure is one of the most important optimization problems. Furthermore, in recent years, with the semiconductor industry's increasing development, there has been a growing interest in fabricated chips, including multiple homogeneous or heterogeneous processing elements (PEs). Modern chips include multiple general-purpose cores alongside reconfigurable fabrics (RFs) used for high-performance computing which perform on par with ASIC hardware. Using RF at different hierarchy levels of cloud architecture significantly improve the performance of VM tasks. The methodology in our previous work is used to design a hierarchical RF-aware VMP. The Communication Delay (CD) parameter is used to perform the optimal virtual machine (VM) placement considering multi-hierarchy RF cloud architecture. The synthetic workload simulation results show that the proposed VMP algorithm outperforms other algorithms that work with our proposed cloud architecture model.