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Task scheduling in big data platforms: a systematic literature review
Abstract Context: Hadoop, Spark, Storm, and Mesos are very well known frameworks in both
research and industrial communities that allow expressing and processing distributed …
research and industrial communities that allow expressing and processing distributed …
Datasize-aware high dimensional configurations auto-tuning of in-memory cluster computing
In-Memory cluster Computing (IMC) frameworks (eg, Spark) have become increasingly
important because they typically achieve more than 10× speedups over the traditional On …
important because they typically achieve more than 10× speedups over the traditional On …
Resource and deadline-aware job scheduling in dynamic hadoop clusters
As Hadoop is becoming increasingly popular in large-scale data analysis, there is a growing
need for providing predictable services to users who have strict requirements on job …
need for providing predictable services to users who have strict requirements on job …
Cast: Tiering storage for data analytics in the cloud
Enterprises are increasingly moving their big data analytics to the cloud with the goal of
reducing costs without sacrificing application performance. Cloud service providers offer …
reducing costs without sacrificing application performance. Cloud service providers offer …
Deadline-aware MapReduce job scheduling with dynamic resource availability
As MapReduce is becoming ubiquitous in large-scale data analysis, many recent studies
have shown that the performance of MapReduce could be improved by different job …
have shown that the performance of MapReduce could be improved by different job …
Scheduling of Big Data Workflows in the Hadoop Framework with Heterogeneous Computing Cluster
AM Rahmani, EY Chamzini, M pourshaban… - Arabian Journal for …, 2024 - Springer
Recently, resource allocation in cloud computing has become a popular research topic. Hi-
WAY is a scientific workflow management system that facilitates workflows involving large …
WAY is a scientific workflow management system that facilitates workflows involving large …
Towards theoretical cost limit of stochastic number generators for stochastic computing
Stochastic number generator (SNG) is one important component of stochastic computing
(SC). An SNG usually consists of a random number source (RNS) and a probability …
(SC). An SNG usually consists of a random number source (RNS) and a probability …
Ad-hoc cloudlet based cooperative cloud gaming
As the game industry matures, processing complex game logics in a timely manner is no
longer an insurmountable problem. However, current cloud-based mobile gaming solutions …
longer an insurmountable problem. However, current cloud-based mobile gaming solutions …
Tempo: robust and self-tuning resource management in multi-tenant parallel databases
Multi-tenant database systems have a component called the Resource Manager, or RM that
is responsible for allocating resources to tenants. RMs today do not provide direct support …
is responsible for allocating resources to tenants. RMs today do not provide direct support …
Stochastic modeling and optimization of stragglers
MapReduce framework is widely used to parallelize batch jobs since it exploits a high
degree of multi-tasking to process them. However, it has been observed that when the …
degree of multi-tasking to process them. However, it has been observed that when the …