A popular programming model for running data intensive applications on the cloud is map reduce. In the Hadoop usually, jobs are scheduled in FIFO order by default. There are many map reduce applications which require strict deadline. In Hadoop framework, scheduler w i t h deadline con stra in ts has not been implemented. Existing schedulers d o not guarantee that the job will be completed by a specific deadline. Some schedulers address the issue of deadlines but focus more on improving s y s t e m utilization. We have proposed an algorithm which facilitates the user to specify a jobs deadline and evaluates whether the job can be finished before the deadline. Scheduler with deadlines for Hadoop, which ensures that only jobs, whose deadlines ...
MapReduce can speed up the execution of jobs operating over big data. A MapReduce job can be divided...
Resource allocation and scheduling on clouds are required to harness the power of the underlying res...
Abstract — The specific choice of workload task schedulers for Hadoop MapReduce applications can hav...
MapReduce has become the dominant programming model in a cloud-based data processing environment, su...
This study presents a soft deadline scheduler for distributed systems that aims of exploring data lo...
Abstract — This study presents a soft deadline scheduler for distributed systems that aims of explor...
International audienceHadoop is a popular framework to process growing volumes of data across cluste...
Abstract—Virtualization promised to dramatically increase server utilization levels, yet many data c...
Abstract—In this paper, we present WOHA, an efficient scheduling framework for deadline-aware Map-Re...
In this paper, we explore the challenges and needs of current cloud infrastructures, to better suppo...
AbSTRACT Hadoop-MapReduce is one of the dominant parallel data processing tool designed for large sc...
MapReduce has been widely used as a Big Data processing platform. As it gets popular, its scheduling...
MapReduce is the preferred computing framework used in large data analysis and processing applicatio...
Abstract — In this paper, we propose a novel algorithm to solve the starving problem of the small jo...
The majority of large-scale data severe applications executed by data centers are based on MapReduce...
MapReduce can speed up the execution of jobs operating over big data. A MapReduce job can be divided...
Resource allocation and scheduling on clouds are required to harness the power of the underlying res...
Abstract — The specific choice of workload task schedulers for Hadoop MapReduce applications can hav...
MapReduce has become the dominant programming model in a cloud-based data processing environment, su...
This study presents a soft deadline scheduler for distributed systems that aims of exploring data lo...
Abstract — This study presents a soft deadline scheduler for distributed systems that aims of explor...
International audienceHadoop is a popular framework to process growing volumes of data across cluste...
Abstract—Virtualization promised to dramatically increase server utilization levels, yet many data c...
Abstract—In this paper, we present WOHA, an efficient scheduling framework for deadline-aware Map-Re...
In this paper, we explore the challenges and needs of current cloud infrastructures, to better suppo...
AbSTRACT Hadoop-MapReduce is one of the dominant parallel data processing tool designed for large sc...
MapReduce has been widely used as a Big Data processing platform. As it gets popular, its scheduling...
MapReduce is the preferred computing framework used in large data analysis and processing applicatio...
Abstract — In this paper, we propose a novel algorithm to solve the starving problem of the small jo...
The majority of large-scale data severe applications executed by data centers are based on MapReduce...
MapReduce can speed up the execution of jobs operating over big data. A MapReduce job can be divided...
Resource allocation and scheduling on clouds are required to harness the power of the underlying res...
Abstract — The specific choice of workload task schedulers for Hadoop MapReduce applications can hav...