Hybrid cloud bursting (i.e., leasing temporary off-premise cloud resources to boost the overall capacity during peak utilization) can be a cost-effective way to deal with the increasing complexity of big data analytics, especially for iterative applications. However, the low throughput, high latency network link between the on-premise and off-premise resources (“weak link”) makes maintaining scalability difficult. While several data locality techniques have been designed for big data bursting on hybrid clouds, their effectiveness is difficult to estimate in advance. Yet such estimations are critical, because they help users decide whether the extra pay-as-you-go cost incurred by using the off-premise resources justifies the runtime speed-up...
Abstract—For many organizations, one attractive use of cloud resources can be through what is referr...
International audienceRecently, hybrid multi-site big data analytics (that combines on-premise with ...
The exponential growth of scientic and business data has resulted in theevolution of the cloud compu...
Hybrid cloud bursting (i.e., leasing temporary off-premise cloud resources to boost the overall capa...
International audienceHybrid cloud bursting (i.e., leasing temporary off-premise cloud resources to ...
The cloud computing model has seen tremendous commercial success through its materialization via two...
The cloud computing model has seen tremendous commercial success through its materialization via two...
International audienceHybrid cloud bursting (i.e., leasing temporary off-premise cloud resources to ...
Over the last few years, the context of big data has gained a significant traction due to many facto...
Understanding and predicting the performance of big data applications running in the cloud or on-pre...
Big Data analytics is increasingly performed using the MapReduce paradigm and its open-source implem...
Big Data analytics is increasingly performed using the MapReduce paradigm and its open-source implem...
The trending evolution towards the Internet of things and the general increase in broadband are cons...
In the last years, Cloud Computing has become a key technology that made possible to run application...
Abstract—For many organizations, one attractive use of cloud resources can be through what is referr...
International audienceRecently, hybrid multi-site big data analytics (that combines on-premise with ...
The exponential growth of scientic and business data has resulted in theevolution of the cloud compu...
Hybrid cloud bursting (i.e., leasing temporary off-premise cloud resources to boost the overall capa...
International audienceHybrid cloud bursting (i.e., leasing temporary off-premise cloud resources to ...
The cloud computing model has seen tremendous commercial success through its materialization via two...
The cloud computing model has seen tremendous commercial success through its materialization via two...
International audienceHybrid cloud bursting (i.e., leasing temporary off-premise cloud resources to ...
Over the last few years, the context of big data has gained a significant traction due to many facto...
Understanding and predicting the performance of big data applications running in the cloud or on-pre...
Big Data analytics is increasingly performed using the MapReduce paradigm and its open-source implem...
Big Data analytics is increasingly performed using the MapReduce paradigm and its open-source implem...
The trending evolution towards the Internet of things and the general increase in broadband are cons...
In the last years, Cloud Computing has become a key technology that made possible to run application...
Abstract—For many organizations, one attractive use of cloud resources can be through what is referr...
International audienceRecently, hybrid multi-site big data analytics (that combines on-premise with ...
The exponential growth of scientic and business data has resulted in theevolution of the cloud compu...