A content delivery network (CDN) is expected to provide high performance content delivery, which requires scalable infrastructure to achieve global coverage. The provision of such infrastructure may form a substantial...
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A content delivery network (CDN) is expected to provide high performance content delivery, which requires scalable infrastructure to achieve global coverage. The provision of such infrastructure may form a substantial entry barrier for new CDN providers, as well as affecting commercial viability of the existing ones. Peering of CDNs can be a way to allow dynamic infrastructural cooperation between CDNs in a scalable manner, in order to mitigate the impact of flash crowds and to achieve better overall service times. In this paper, we present a quality of service (QoS)-driven model to evaluate the user perceived performance of CDN peering relationships. In this model, an overloaded CDN redirects a fraction of its incoming requests to peered CDNs and thereby can avoid the impact of flash crowds. The model-based approach also assists in making concrete QoS guarantee for a given CDN. Our approach endeavors to achieve scalability for a CDN in a user transparent manner.
This paper identifies requirements for querying and accessing context information in mobile and pervasive computing environments. Furthermore it studies existing query languages showing that they satisfy only a subset...
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This paper identifies requirements for querying and accessing context information in mobile and pervasive computing environments. Furthermore it studies existing query languages showing that they satisfy only a subset of these requirements or cover some of them only to a limited extent. A new context query language is presented to overcome these shortcomings, improving the state of the art in several respects: heterogeneous representations of context information, definition of complex filtering mechanisms, elaborate aggregation functions and ontology integration, all in one language.
The paper proposes three alternative extensions to the classical global-best particle swarm optimization dynamics, and compares their relative performance with the classical particle swarm optimization algorithm. The ...
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The paper proposes three alternative extensions to the classical global-best particle swarm optimization dynamics, and compares their relative performance with the classical particle swarm optimization algorithm. The first extension, which readily follows from the well-known Lyapunov's stability theorem, provides a mathematical basis of the particle dynamics with a guaranteed convergence at an optimum. The inclusion of local and global attractors to this dynamics leads to faster convergence speed and better accuracy than the classical one. The second extension augments the velocity adaptation equation by a negative randomly weighted positional term of individual particle, while the third extension considers the negative positional term in place of the inertial term. computer simulations further reveal that the last two extensions outperform both the classical and the first extension in convergence speed and accuracy.
In novel market-oriented resource sharing models, resource consumers pay for the resource usage and expect that non-functional requirements for the application execution, termed as quality of service (QoS), are satisf...
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In novel market-oriented resource sharing models, resource consumers pay for the resource usage and expect that non-functional requirements for the application execution, termed as quality of service (QoS), are satisfied. QoS is negotiated between two parties following the specific negotiation protocols and is recorded using service level agreements (SLAs). However, most of the existing work assumes that the communication partners know about the SLA negotiation protocols and about the SLA templates before entering the negotiation. However, this is a contradictory assumption, if we consider computational grids and novel, commercially oriented computing clouds where consumers and providers meet each other dynamically. In this paper, we present novel meta-negotiation and SLA-mapping solutions for grid workflows bridging the gap between current QoS models and grid workflows, one of the most successful grid programming paradigms. We illustrate the open research issues with a real world case study. Thereafter, we present document models for the specification of meta-negotiations and SLA-mappings. We discuss the architecture for the management of meta-negotiations and SLA-mappings as well as integration of the architecture into a grid workflow management framework.
This paper presents a grid portal for protein secondary structure prediction developed by using services of Aneka, a .NET-based enterprise grid technology. The portal is used by research scientists to discover new pre...
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This paper presents a grid portal for protein secondary structure prediction developed by using services of Aneka, a .NET-based enterprise grid technology. The portal is used by research scientists to discover new prediction structures in a parallel manner. An SVM (support vector machine)-based prediction algorithm is used with 64 sample protein sequences as a case study to demonstrate the potential of enterprise grids.
Searching in large-scale unstructured peer-to-peer networks is challenging due to the lack of effective hint information to guide queries. In this paper, we propose POP, a parallel, cOllaborative and Probabilistic sea...
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This paper proposes a first step into a common solution, where combined and extended interests will hopefully allow us to surpass this threshold. While there are still some open issues, we hope to not only propose a b...
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Utility computing has been anticipated to be the next generation of computing usage. Users have the freedom to easily switch to any commercial computing service to complete jobs whenever the need arises and simply pay...
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A Grid based e-Research platform is being developed for providing a simulation-based virtual reality environment for clinical management and therapy treatment. The development of this platform involves cross-disciplin...
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Service-Oriented Architectures provide integration of interoperability for independent and loosely coupled services. Web services and the associated new standards such as WSRF are frequently used to realise such Servi...
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ISBN:
(纸本)9780769530642
Service-Oriented Architectures provide integration of interoperability for independent and loosely coupled services. Web services and the associated new standards such as WSRF are frequently used to realise such Service-Oriented Architectures. In such systems, autonomic principles of self-configuration, self-optimisation, self-healing and self-adapting are desirable to ease management and improve robustness. In this paper we focus on the extension of the self management and autonomic behaviour of a WSRF container connected by a structured P2P overlay network to monitor and rectify its QoS to satisfy its SLAs. The SLA plays an important role during two distinct phases in the life-cycle of a WSRF container Firstly during service deployment when services are assigned to containers in such a way as to minimise the threat of SLA violations, and secondly during maintenance when violations are detected and services are migrated to other containers to preserve QoS. In addition, as the architecture has been designed and built using standardised modem technologies and with high levels of transparency, conventional web services can be deployed with the addition of a SLA specification.
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