TY - GEN
T1 - Larger Cloud Servers, Fewer Hosts? On the Evolution of VM Sizes in IaaS Platforms
AU - Jacquet, Pierre
AU - Coti, Camille
AU - Dias De Assunção, Marcos
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - Hardware evolution has been extensively characterized, with models describing long-term trends in processors, storage, and memory. In contrast, the evolution of the virtual resources through which most practitioners interact with computing infrastructure remains largely unexplored. This paper studies how Virtual Machine (VM) configurations have evolved across major cloud providers over the past two decades. Using historical catalogs and large-scale usage traces, we analyze both the supply of VM types and the way clients actually consume them. Our analysis shows that VM evolution diverges from underlying hardware trends. Although provider catalogs have expanded toward larger configurations, client demand remains concentrated on the smallest options. At the same time, larger options are increasingly selected, and gradual increases in minimal allocations have raised the footprint of active VMs, which doubled between 2019 and 2025. Consequently, despite growing hardware capabilities, the number of instances consolidated per host has remained stable over time. These trends have important environmental implications. By progressively inflating default VM footprints, cloud offerings weaken incentives for software efficiency and limit the potential gains from consolidating workloads on more capable servers.
AB - Hardware evolution has been extensively characterized, with models describing long-term trends in processors, storage, and memory. In contrast, the evolution of the virtual resources through which most practitioners interact with computing infrastructure remains largely unexplored. This paper studies how Virtual Machine (VM) configurations have evolved across major cloud providers over the past two decades. Using historical catalogs and large-scale usage traces, we analyze both the supply of VM types and the way clients actually consume them. Our analysis shows that VM evolution diverges from underlying hardware trends. Although provider catalogs have expanded toward larger configurations, client demand remains concentrated on the smallest options. At the same time, larger options are increasingly selected, and gradual increases in minimal allocations have raised the footprint of active VMs, which doubled between 2019 and 2025. Consequently, despite growing hardware capabilities, the number of instances consolidated per host has remained stable over time. These trends have important environmental implications. By progressively inflating default VM footprints, cloud offerings weaken incentives for software efficiency and limit the potential gains from consolidating workloads on more capable servers.
KW - Cloud computing
KW - flavor evolution
KW - IaaS
KW - instance type
KW - resource allocation
KW - virtual machine
UR - https://www.scopus.com/pages/publications/105047164120
U2 - 10.1109/CCGRID68966.2026.00037
DO - 10.1109/CCGRID68966.2026.00037
M3 - Contribution to conference proceedings
AN - SCOPUS:105047164120
T3 - Proceedings - 2026 IEEE 26th International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2026
SP - 287
EP - 296
BT - Proceedings - 2026 IEEE 26th International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2026
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2026
Y2 - 18 May 2026 through 21 May 2026
ER -