José Luis Vázquez-Poletti

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Simulation techniques have become a powerful tool for deciding the best starting conditions on pay-as-you-go scenarios. This is the case of public cloud infrastructures, where a given number and type of virtual machines (in short VMs) are instantiated during a specified time, being this reflected in the final budget. With this in mind, this paper introduces(More)
In order to achieve a reasonable degree of performance and reliability, Metascheduling has been revealed as a key functionality of the grid middleware. The aim of this paper is to provide a comparative analysis between two major grid scheduling philosophies: a semi-centralized approach, represented by the EGEE Workload Management System, and a fully(More)
Data analytics applications are well-suited for a cloud environment. In this paper we examine the problem of provisioning resources in a public cloud to execute data analytic workloads. The goal of our provisioning method is to determine the most cost-effective configuration for a given data analytic workload. Provisioning a workload in a public cloud(More)
Cloud computing, with its support for elastic resources that are available on an on-demand, pay-as-you-go basis, is an attractive platform for hosting Web-based services that have variable demand, yet consistent performance requirements. Effective service management is mandatory in order for services running in the cloud, which we call elastic services, to(More)
Advances in service-oriented architectures (SOA), virtualization, high-speed networks, and cloud computing has resulted in attractive pay-as-you-go services. Job scheduling on these systems results in commodity bidding for computing time. This bidding is institutionalized by Amazon for its Elastic Cloud Computing (EC2) environment and bidding methods exist(More)
Modern latency-critical online services often rely on composing results from a large number of server components. Hence the tail latency (e.g. The 99th percentile of response time), rather than the average, of these components determines the overall service performance. When hosted on a cloud environment, the components of a service typically co-locate with(More)
Since the late 1990s, we have witnessed an extraordinary development of Grid technologies. Nowadays, different Grid infrastructures are being deployed within the context of growing national and transnational research projects. However, the coexistence of those different infrastructures opens an interesting debate about the coordinated harnessing of their(More)