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The Cloud computing paradigm enables innovative and disruptive services by allowing enterprises to lease computing, storage and network resources from physical infrastructure owners, to offer a persistently available service. This shift in infrastructure management responsibility has brought new revenue models and new challenges to Cloud providers. One of those challenges is to efficiently migrate...
NoSQL Database Management Systems (DBMS) have increased in prominence and market share in the last few years. IBM Cloudant is one of the well-known enterprise NoSQL DBMS which has been offered in both cloud and also as an onpremise standalone product (i.e. Cloudant Local). Cloudant has a large number of customers such as Samsung, Adobe, DHL, etc. In this paper, we will demonstrate how Cloudant can...
Improving the performance is the common sense on those large-scale data processing frameworks and fruitful studies are proposed in this direction. In contrast, the fairness and energy consumption of those frameworks need further exploration and how the performance, fairness and energy consumption interact each other on big data computing frameworks is not well addressed. In our research, we study...
Cloud computing datacenters dynamically provide millions of virtual machines in actual cloud computing markets and several challenging problems have to be addressed towards an efficient resource management of these infrastructures. In the context of resource allocation, Virtual Machine Placement (VMP) is one of the most studied problems with several possible formulations and a large number of existing...
The volatility of web software systems, for example due to traffic fluctuations, can be addressed through cloud resource elasticity. Cloud providers offer specific services to automate the process of elasticity, so that application developers can efficiently and effectively manage their cloud resources. Current autoscaling methods mostly employ rule-based or threshold-based techniques. In this work,...
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