In this work, we investigate techniques to improve the performance of big data analytics in virtualized clusters by effectively increasing the utilization of cached data and efficiently using scarce memory resources
International audienceVirtualization has become a prominent tool in data centers and is extensively ...
Big data processing has recently gained a lot of attention both from academia and industry. The term...
Big data analytics has become not just a popular buzzword but also a strategic direction in informat...
Running big data analytics frameworks in the cloud is becoming increasingly important, but their res...
Extensive data analysis has become the enabler for diagnostics and decision making in many modern sy...
Big data has revolutionized science and technology leading to the transformation of our societies. H...
Large scale computing infrastructures have been widely developed with the core objective of providin...
Many Big Data analytics and IoT scenarios rely on fast and non-relational storage (NoSQL) to help pr...
The memory system has been evolving at a fast pace recently, driven by the emergence of large-scale ...
Despite the use of virtualization to share individual servers, data centers are still often only lig...
We are in the computing era of super-zetta data bytes (a.k.a. Big Data). Big Data is critical to dev...
Part 11: New Methods and Tools for Big Data Wokshop (MT4BD)International audienceIn recent years, bi...
While cluster computing frameworks are continuously evolving to provide real-time data analysis capa...
Motivated by the increasing popularity of hosting in-memory big-data analytics in cloud, we present ...
Timely and cost-effective analytics over "big data" has emerged as a key ingredient for success in m...
International audienceVirtualization has become a prominent tool in data centers and is extensively ...
Big data processing has recently gained a lot of attention both from academia and industry. The term...
Big data analytics has become not just a popular buzzword but also a strategic direction in informat...
Running big data analytics frameworks in the cloud is becoming increasingly important, but their res...
Extensive data analysis has become the enabler for diagnostics and decision making in many modern sy...
Big data has revolutionized science and technology leading to the transformation of our societies. H...
Large scale computing infrastructures have been widely developed with the core objective of providin...
Many Big Data analytics and IoT scenarios rely on fast and non-relational storage (NoSQL) to help pr...
The memory system has been evolving at a fast pace recently, driven by the emergence of large-scale ...
Despite the use of virtualization to share individual servers, data centers are still often only lig...
We are in the computing era of super-zetta data bytes (a.k.a. Big Data). Big Data is critical to dev...
Part 11: New Methods and Tools for Big Data Wokshop (MT4BD)International audienceIn recent years, bi...
While cluster computing frameworks are continuously evolving to provide real-time data analysis capa...
Motivated by the increasing popularity of hosting in-memory big-data analytics in cloud, we present ...
Timely and cost-effective analytics over "big data" has emerged as a key ingredient for success in m...
International audienceVirtualization has become a prominent tool in data centers and is extensively ...
Big data processing has recently gained a lot of attention both from academia and industry. The term...
Big data analytics has become not just a popular buzzword but also a strategic direction in informat...
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