Topology-aware multi
Topology-aware multi
a b s t r a c t
With help of virtualization technology, cloud datacenters provide affordable computation power to numerous enterprises and business users.
Virtual machine dynamic consolidation (VMDC) plays an important role in the energy consumption management of datacenters.
Previous solutions on VMDC either fail to consider impact resulting from the interaction between datacenter network topology and communication topology, or handle this issue in coarse granular level.
In this paper, we propose a new approach to coordinate datacenter network topology and communication topology.
The proposed VMDC approach adopts a multi-objective genetic algorithm to simultaneously minimize energy consumption and communication traffic causing performance bottlenecks, while meeting SLA constraint on migration time.
In this approach, both SLA constraint and objective function on communication traffic are formulated with topology awareness in switch link level.
A comprehensive simulation study shows that the proposed approach can significantly save energy consumption of datacenters and provide SLA assurance for different types of datacenter topologies.
Simulation results demonstrate that the proposed approach outperforms prior approaches in terms of reducing energy consumption, bottleneck ratio and SLA violation ratio.
Conclusion and future work
In this paper, we introduced a novel VMDC approach that optimizes consolidation result according to its topology awareness.
By coordinating network topology and communication topology in switch link level, this approach is able to effectively identify communication traffic causing bottleneck issues for different types of network topologies.
The VM allocation problem is formulated as a constrained multi-objective optimization problem and we designed a detailed solution based on multi-objective genetic algorithm.
Through extensive simulation, we demonstrate that this approach is able to effectively reduce energy consumption and communication bottleneck while meeting SLA constraint.
In this work static network routing protocol is assumed.
One direction of our future research will be investigating interplay between our consolidation strategy and dynamic routing protocols that can mitigate network bottlenecks on the fly, and designing a new consolidation approach performing intelligent synergy with dynamic routing protocols.
Moreover, although this consolidation strategy is designed for centralized datacenters, with proper modification it can be used in decentralized datacenters as well.
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Topology-aware multi