Swarm Intelligence Heuristics for Component Deployment

Abstract

International audienceWe address the problem of efficient deployment of software services into a networked environment. Services are considered that are provided by collaborating components. The problem of obtaining efficient mappings for components to host in a network is challenged by multiple dimensions of quality of service requirements. In this paper we consider execution costs for components and communication costs for the collaborations between them. Our proposed solution to the deployment problem is a nature inspired distributed heuristic algorithm that we apply from the service provider's perspective. We present simulation results for different example scenarios and present an integer linear program to validate the results obtained by simulation of our algorithm

Ant system for service deployment in private and public clouds

“…Similar techniques can be used to build an ILP for checking how close mappings obtained by our algorithm are to the optimum solution. Preliminary results of this evaluation can be found in [4]. In this paper we discuss an extension to our bio-inspired algorithm to consider resource allocation in federated public and private clouds as well as to obtain optimal utilization of resources in case of overshoot scenarios.…”