Predictive performance modeling for distributed batch processing using black box monitoring and machine learning
In many domains, the previous decade was characterized by increasing data volumes and
growing complexity of data analyses, creating new demands for batch processing on …
growing complexity of data analyses, creating new demands for batch processing on …
Context-aware big data quality assessment: a scoping review
The term data quality refers to measuring the fitness of data regarding the intended usage.
Poor data quality leads to inadequate, inconsistent, and erroneous decisions that could …
Poor data quality leads to inadequate, inconsistent, and erroneous decisions that could …
[图书][B] Distributed and cloud computing: from parallel processing to the internet of things
Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers
complete coverage of modern distributed computing technology including clusters, the grid …
complete coverage of modern distributed computing technology including clusters, the grid …
A game-theoretic method of fair resource allocation for cloud computing services
As cloud-based services become more numerous and dynamic, resource provisioning
becomes more and more challenging. A QoS constrained resource allocation problem is …
becomes more and more challenging. A QoS constrained resource allocation problem is …
Cost-optimal scheduling in hybrid iaas clouds for deadline constrained workloads
R Van den Bossche, K Vanmechelen… - 2010 IEEE 3rd …, 2010 - ieeexplore.ieee.org
With the recent emergence of public cloud offerings, surge computing-outsourcing tasks
from an internal data center to a cloud provider in times of heavy load-has become more …
from an internal data center to a cloud provider in times of heavy load-has become more …
Improved cost-based algorithm for task scheduling in cloud computing
S Selvarani, GS Sadhasivam - 2010 IEEE International …, 2010 - ieeexplore.ieee.org
Cloud computing has been build upon the development of distributed computing, grid
computing and virtualization. Since cost of each task in cloud resources is different with one …
computing and virtualization. Since cost of each task in cloud resources is different with one …
Online cost-efficient scheduling of deadline-constrained workloads on hybrid clouds
R Van den Bossche, K Vanmechelen… - Future Generation …, 2013 - Elsevier
Cloud computing has found broad acceptance in both industry and research, with public
cloud offerings now often used in conjunction with privately owned infrastructure. Technical …
cloud offerings now often used in conjunction with privately owned infrastructure. Technical …
Online multi-workflow scheduling under uncertain task execution time in IaaS clouds
Cloud has become an important platform for executing numerous deadline-constrained
scientific applications generally represented by workflow models. It provides scientists a …
scientific applications generally represented by workflow models. It provides scientists a …
Task execution time modeling for heterogeneous computing systems
A distributed heterogeneous computing (HC) system consists of diversely capable machines
harnessed together to execute a set of tasks that vary in their computational requirements …
harnessed together to execute a set of tasks that vary in their computational requirements …
Representing task and machine heterogeneities for heterogeneous computing systems
ABSTRACT A distributed heterogeneous computing (HC) system consists of diversely
capable machines harnessed together to execute a set of tasks that vary in their …
capable machines harnessed together to execute a set of tasks that vary in their …