Research on Adaptive QoS-Aware Resource Reservation Management in Cloud Service Environments

Taxonomy of resource allocation algorithms for inner IaaS cloud data centres

“…From the description above, we can see that both algorithms in [14] and [17] support reservation as well as non-reservation workloads. They both give higher priority to reservation request.…”

“…In [17], the authors presented a scenario of cloud platforms that supports resident applications and resource reservation. If some resource reservation requests come, VMs running resident applications can easily be shifted somewhere [18] to squeeze out enough resources for the reservation.…”

“…They both give higher priority to reservation request. When a new reservation request comes, the algorithm in [14] and [17] may suspend or migrate non-reservation VMs to have enough cloud resources for this request. The difference between two algorithms is the behavior with the affected VMs.…”

“…The difference between two algorithms is the behavior with the affected VMs. While the algorithm in [14] does not care much about the affected non-reservation workloads, the algorithm in [17] has to consider the fine before deciding to migrate the non-reservation VMs.…”

Analysis of pricing strategies of infrastructure as a service (IaaS)

“…In addition, Wang (Wang et al, 2011) examined resource reservation management challenges in cloud environment and the authors proposed an adaptive QoS-aware resource reservation approach that resource reservation requests were selectively fulfilled based on the possible QoS in the near future.…”