A Heuristic Algorithm for Mapping Communicating Tasks on Heterogeneous Resources
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
A solver for the network testbed mapping problem
ACM SIGCOMM Computer Communication Review
Rethinking virtual network embedding: substrate support for path splitting and migration
ACM SIGCOMM Computer Communication Review
Automated application component placement in data centers using mathematical programming
International Journal of Network Management
Topology-aware task mapping for reducing communication contention on large parallel machines
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
CloudNaaS: a cloud networking platform for enterprise applications
Proceedings of the 2nd ACM Symposium on Cloud Computing
Declarative automated cloud resource orchestration
Proceedings of the 2nd ACM Symposium on Cloud Computing
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In the IaaS model, users have the opportunity to run their applications by creating virtualized infrastructures, from virtual machines, networks and storage volumes. However, they are still not able to optimize these infrastructures to their workloads, in order to receive guarantees of resource requirements or availability constraints. In this paper we address the problem of efficiently placing such infrastructures in large scale data centers, while considering compute and network demands, as well as availability requirements. Unlike previous techniques that focus on the networking or the compute resources allocation in a piecemeal fashion, we consider all these factors in one single solution. Our approach makes the problem tractable, while enabling the load balancing of resources. We show the effectiveness and efficiency of our approach with a rich set of workloads over extensive simulations.