Time-Aware VMFlow Placement, Routing, and Migration for Power Efficiency in Data Centers


Increased power usage and network performance variation thanks to best-effort bandwidth sharing significantly affect tenancy value, cloud adoption, and information center efficiencies. In this paper, we propose a novel time-aware request model which permits tenants to specify an estimated needed time-period, in addition to their needed server resources for Virtual Machines (VMs) and network bandwidth for his or her communication. We investigate the VM-placement and routing downside, which allocates both server and network resources for the desired time-length, to supply resource guarantees. Additional, we have a tendency to exploit VM-migration while considering its power consumption overhead, to enhance power saving and resource utilization. Using the multi-part utilization-based mostly power model, we have a tendency to formulate the problem as an optimization problem that maximizes the acceptance rate while consuming as low power as possible. We have a tendency to develop quick online heuristics that allocate resources for requests, considering their duration and bandwidth demand. We conjointly develop migration policies augmenting these heuristics. For migration heuristics, we have a tendency to propose server-migration and switch-migration approaches, which migrate the VMs between the powered-on servers only if their migrations result in turning-off at least one server and switch, respectively. We demonstrate the effectiveness of the proposed heuristics in terms of power saving, acceptance ratio, and migration overhead using comprehensive simulation results.

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