Big data processing frameworks (MapReduce, Hadoop, Dryad) are hugely popular today because they greatly simplify the deployment and execution of big data analysis jobs requir-ing the use of many machines in parallel. A strong selling point of these frameworks is their built-in failure resilience support. Big data frameworks can run computations to comple-tion despite occasional failures in the system. However, an important but overlooked point has been the efficiency of their failure resilience. The vision of this thesis is that big data frameworks should not only be failure resilient but that they should provide the resilience in an efficient manner. This means both minimizing the impact of failures on computations as well as minimizing th...
As of 2017, we live in a data-driven world where data-intensive applications are bringing fundamenta...
Failures are common in today’s data center environment and can significantly impact the performance ...
As of 2017, we live in a data-driven world where data-intensive applications are bringing fundamenta...
The examiner of cloud computing systems in the last few years observes that there is a trend of the ...
Projections and reports about exascale failure modes conclude that we need to protect numerical simu...
Today we are living in the digital world. There is a vast amount of data everywhere and it is increa...
Projections and reports about exascale failure modes conclude that we need to protect numerical simu...
Due to the growing size of compute clusters, large scale parallel applications increasingly have to ...
High-Performance Computing (HPC) has passed the Petascale mark and is moving forward to Exascale. As...
With the prosperity of Big Data, the performance and robustness of storage systems have become ever ...
Abstract—the rising number of applications serving millions of users and dealing with terabytes of d...
Abstract—Data replication, the main failure resilience strategy used for big data analytics jobs, ca...
Big data plays a major role in the real world. Every day the database access may be in increased man...
The popularity of MapReduce programming model has increased interest in the research community for i...
International audienceMapReduce has become a relevant framework for Big Data processing in the cloud...
As of 2017, we live in a data-driven world where data-intensive applications are bringing fundamenta...
Failures are common in today’s data center environment and can significantly impact the performance ...
As of 2017, we live in a data-driven world where data-intensive applications are bringing fundamenta...
The examiner of cloud computing systems in the last few years observes that there is a trend of the ...
Projections and reports about exascale failure modes conclude that we need to protect numerical simu...
Today we are living in the digital world. There is a vast amount of data everywhere and it is increa...
Projections and reports about exascale failure modes conclude that we need to protect numerical simu...
Due to the growing size of compute clusters, large scale parallel applications increasingly have to ...
High-Performance Computing (HPC) has passed the Petascale mark and is moving forward to Exascale. As...
With the prosperity of Big Data, the performance and robustness of storage systems have become ever ...
Abstract—the rising number of applications serving millions of users and dealing with terabytes of d...
Abstract—Data replication, the main failure resilience strategy used for big data analytics jobs, ca...
Big data plays a major role in the real world. Every day the database access may be in increased man...
The popularity of MapReduce programming model has increased interest in the research community for i...
International audienceMapReduce has become a relevant framework for Big Data processing in the cloud...
As of 2017, we live in a data-driven world where data-intensive applications are bringing fundamenta...
Failures are common in today’s data center environment and can significantly impact the performance ...
As of 2017, we live in a data-driven world where data-intensive applications are bringing fundamenta...
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