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Optimal placement and selection of service instances in a distributed heterogeneous cloud is a complex trade-off between application requirements and resource capabilities that requires detailed information on the service, infrastructure constraints, and the underlying IP network. In this article we first posit that from an analysis of a snapshot of today's centralized and regional data center infrastructure,...
The increasing scale of cloud environments requires more scalable orchestration systems for determining which physical resources are responsible for processing service requests. A centralised service placement lacks scalability while a fully decentralised approach only has a limited view of the system. For these reasons, this paper investigates a hierarchical approach for service placement in a distributed...
This paper presents a new method for selection between replicated servers distributed over a wide area, allowing application and network providers to trade-off costs with quality-of-service for their users. First, we create a novel utility framework that factors in quality of service metrics. Then we design a polynomial optimization algorithm to allocate user service requests to servers based on the...
Recent advances offered by Software Defined Networking and virtualization techniques are creating the favourable conditions to design and develop Future Networks where network functions and services can be virtualized, dynamically instantiated and moved across networks. The ability to dynamically allocate virtual nodes across distributed physical hosts and even more the live migration of the Virtual...
In this paper we introduce the hypercube topology and show effects over the performance of communication networks in term of throughput and average lifetime. Hypercube network structures have been proposed as effective topologies to increase the network performance. We test this hypothesis by considering appropriate nonlinear traffic generation models and comparing the performance of hypercube networks...
This paper addresses the problem of managing highly dynamic network and service environments, where virtual nodes and virtual links are created and destroyed depending on traffic volumes, service requests, or high-level goals such as reduction in energy consumption. This problem will be one of the main technical challenges to be faced in the evolution towards Future Networks (FN). Emerging paradigms...
Technology advances are making available huge amounts of processing, storage, networking capabilities at the edge (i.e., up to End-Users premises) of current networks. It is argued that these trends, coupled with new emerging paradigms such as Software Defined Networks, will impact deeply the evolution of future networks, allowing to design highly flexible architectures at the edge capable of creating...
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