Titlebook: Algorithmic Aspects of Cloud Computing; First International Ioannis Karydis,Spyros Sioutas,Dimitrios Tsoumakos Conference proceedings 2016

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Density Matrix Theory and Applications we need a middleware framework, such as Apache Hadoop [.], that provides reliability, scalability and distributed computing. Once the infrastructure has been established, a software framework can be installed, which runs on top of it and will be the connection to communicate with the applications d

LARK

Femish

sparse

Density Matrix Theory and Applicationssuch data grows, graph databases most often offer distributed solutions implemented in a cloud infrastructure. In this paper, we focus on transaction management for such cloud-based graph databases. In particular, we use various graph databases as case studies to survey the different levels of trans

PLIC

有偏見(jiàn)

EXTOL

Bernstein-test

https://doi.org/10.1007/978-3-642-20561-3oud deployments. The efficient handling of cloud elasticity is a challenge that attracts the interest of the research community. This work constitutes a survey of research efforts towards this direction. The main contribution of this work is an up-to-date review of the latest elasticity handling app