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[HTML][HTML] AI augmented Edge and Fog computing: Trends and challenges
In recent years, the landscape of computing paradigms has witnessed a gradual yet
remarkable shift from monolithic computing to distributed and decentralized paradigms such …
remarkable shift from monolithic computing to distributed and decentralized paradigms such …
Multi-search-routes-based methods for minimizing makespan of homogeneous and heterogeneous resources in Cloud computing
Cloud computing, as a large-scale distributed computing system dynamically providing
elastic services, is designed to meet the requirement of delivering computing services to …
elastic services, is designed to meet the requirement of delivering computing services to …
NTAM: neighborhood-temporal attention model for disk failure prediction in cloud platforms
With the rapid deployment of cloud platforms, high service reliability is of critical importance.
An industrial cloud platform contains a huge number of disks, and disk failure is a common …
An industrial cloud platform contains a huge number of disks, and disk failure is a common …
Beyond pairwise testing: Advancing 3-wise combinatorial interaction testing for highly configurable systems
To meet the rising demand for software customization, highly configurable software systems
play key roles in practice. Combinatorial interaction testing (CIT) is recognized as an …
play key roles in practice. Combinatorial interaction testing (CIT) is recognized as an …
Solving the t-Wise Coverage Maximum Problem via Effective and Efficient Local Search-Based Sampling
To meet the increasing demand for customized software, highly configurable systems
become essential in practice. Such systems offer many options to configure, and ensuring …
become essential in practice. Such systems offer many options to configure, and ensuring …
Performance and cost-aware task scheduling via deep reinforcement learning in cloud environment
In the cloud computing environment, task scheduling with multiple objectives optimization
becomes a highly challenging problem in such a dynamic and bursty environment. Previous …
becomes a highly challenging problem in such a dynamic and bursty environment. Previous …
Edits: An easy-to-difficult training strategy for cloud failure prediction
Cloud failures have been a major threat to the reliability of cloud services. Many failure
prediction approaches have been proposed to predict cloud failures before they actually …
prediction approaches have been proposed to predict cloud failures before they actually …
CAmpactor: A novel and effective local search algorithm for optimizing pairwise covering arrays
The increasing demand for software customization has led to the development of highly
configurable systems. Combinatorial interaction testing (CIT) is an effective method for …
configurable systems. Combinatorial interaction testing (CIT) is an effective method for …
SamplingCA: effective and efficient sampling-based pairwise testing for highly configurable software systems
Combinatorial interaction testing (CIT) is an effective paradigm for testing highly
configurable systems, and its goal is to generate a t-wise covering array (CA) as a test suite …
configurable systems, and its goal is to generate a t-wise covering array (CA) as a test suite …
CILP: Co-simulation-based imitation learner for dynamic resource provisioning in cloud computing environments
Intelligent Virtual Machine (VM) provisioning is central to cost and resource efficient
computation in cloud computing environments. As bootstrap** VMs is time-consuming, a …
computation in cloud computing environments. As bootstrap** VMs is time-consuming, a …