paths, and () end-system based address resolution to scale to large server pools, without introducing complexity to the network control plane. VL's design is driven by detailed measurements of tra c and fault data from a large operational cloud service provider. VL's implementation

stranding and fragmentation. To attack this first problem, we propose (1) increasing network agility, and (2) providing appropriate incentives to shape resource consumption. Second, we note that cloud service providers are building out geo-distributed networks of data centers. Geo-diversity lowers latency

We consider the problem of building a secure cloud storage service on top of a public cloud infrastructure where the service provider is not completely trusted by the customer. We describe, at a high level, several architectures that combine recent and non-standard cryptographic primitives in order

the Government of the Basque Country under the “Researchers Training

Abstract. Cloud computing promotes economies of scale by sharing soft-ware and hardware resources across multiple tenants. To date, there has been relatively little research on how MDE can best support multi-tenant cloud ap-plications, where there is a need to separate the logic and data

We present a single rate multicast congestion control scheme (pgmcc) which is TCP-friendly and achieves scalability, stability and fast response to variations in network conditions. pgmcc is suitable for both non-reliable and reliable data transfers; it uses a window-based TCP-like controller based on positive ACKs and run between the sender and a group's representative, the acker. The innovative part of pgmcc is a fast and low-overhead procedure to select (and track changes of) the acker, which permits us to consider the acker as a moving receiver rather than a changing one. As such, the scheme is robust to measurement errors, and supports fast response to changes in the receiver set and/or network conditions. The scheme has been implemented in the PGM protocol, and the paper presents a number of experimental results on its performance.

In this paper, an MDE-based approach to tool building is described. It is based on a core tool definition metamodel and an interpreter of this metamodel. Besides, an extension of the core metamodel is proposed, allowing for tool-specific model transformations to enrich the behavior of the universal

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of different protocols (KNX, LonWorks, InOne). Building a high level middleware to support all the appliances seems to be a reasonable approach. However, market factors has shown that the emergence of a unique and universal middleware is a dream. To solve this issue, we have built a new generation

© The Author(s) 2011. This article is published with open access at Springerlink.com Abstract Cloud computing is a highly discussed topic in the technical and economic world, and many of the big play-ers of the software industry have entered the development of cloud services. Several companies what