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Online travel and ticket booking is one of the top E-Commerce industries. As they present a mix of products: flights, hotels, tickets, restaurants, activities and vacational packages, they rely on a wide range of technologies to support them: Javascript, AJAX, XML, B2B Web services, Caching, Search Algorithms and Affiliation; resulting in a very rich and heterogeneous workload. Moreover, visits to...
The growing complexity of software systems is resulting in an increasing number of software faults. According to the literature, software faults are becoming one of the main sources of unplanned system outages, and have an important impact on company benefits and image. For this reason, a lot of techniques (such as clustering, fail-over techniques, or server redundancy) have been proposed to avoid...
Traditionally, performance has been the most important metrics when evaluating a system. However, in the last decades industry and academia have been paying increasing attention to another metric to evaluate servers: availability. A Web server may serve many users when running, but if it is out of service too much time, it becomes useless and expensive. The industry has adopted several techniques...
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...
In this paper we introduce a new approach to the consolidation strategy of a data center that allows an important reduction in the amount of active nodes required to process a heterogeneous workload without degrading the offered service level. This article reflects and demonstrates that consolidation of dynamic workloads does not end with virtualization. If energy-efficiency is pursued, the workloads...
It was known that every set A in P/poly has an advice function in PF(Σ P2 (A)). This paper shows that A also has an advice function in PF(NP(A) ⊕ Σ P3 ). From this new bound, it is shown that separating Δ P2 and Σ P2 relative to a set in P/poly is as hard as obtaining the same separation, unrelativized.
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