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Resource management is a key challenge that service providers must adequately face in order to ensure their profitability. This paper describes a proof-of-concept framework for facilitating resource management in service providers, which allows reducing costs and at the same time fulfilling the quality of service agreed with the customers. This is accomplished by means of virtualization. Our approach...
As long as computers continue to get more CPU processing power, data centers need to optimize their power usage. We can do this and maintain the same complexity level as before by using virtualized environments. We can put a large number of small isolated servers, inside a large one and improve a large number of values like the wattage or power consumption, space usage, and resource usage. In this...
One of the primary tools for performance analysis of multi-tier systems are standardized benchmarks. They are used to evaluate system behavior under different circumstances to assess whether a system can handle real workloads in a production environment. Such benchmarks are also helpful to resolve situations when a system has an unacceptable performance or even crashes. System administrators and developers...
In order to be profitable, service providers must be able to undertake complex management tasks such as provisioning, deployment, execution and adaptation in an autonomic way. This paper introduces a framework, the semantically-enhanced resource allocator (SERA), aimed to facilitate service provider management, reducing costs and at the same time fulfilling the QoS agreed with the customers. The SERA...
Service providers (SP) business goals require an efficient management of their computational resources in order to perform provisioning, deployment, execution and adaptation which traditionally require human intervention. The semantically-enhanced resource allocator (SERA) is a framework designed to obtain an efficient autonomous service provider management while fulfilling customers' requests. While...
Virtualization and consolidation are two complementary techniques widely adopted in a global strategy to reduce system management complexity. In this paper we show how two simple and well-known techniques can be combined to dramatically increase the energy efficiency of a virtualized and consolidated data center. This result is obtained by introducing a new approach to the consolidation strategy that...
We study the problem of dynamic resource allocation to clustered Web applications. We extend application server middleware with the ability to automatically decide the size of application clusters and their placement on physical machines. Unlike existing solutions, which focus on maximizing resource utilization and may unfairly treat some applications, the approach introduced in this paper considers...
Resource allocation techniques are determinant to achieve high spectral efficiency in wireless systems and to provide QoS guarantees and fairness to the system users. In this work, several scheduling algorithms are evaluated over a packetized multiuser adaptive OFDMA system with spatial diversity MIMO. Multiuser capacity and fairness are assessed for different channel-aware and/or QoS-aware user multiplexing...
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