[HTML][HTML] From DevOps to MLOps: Overview and application to electricity market forecasting
In the Software Development Life Cycle (SDLC), Development and Operations (DevOps)
has been proven to deliver reliable, scalable software within a shorter time. Due to the …
has been proven to deliver reliable, scalable software within a shorter time. Due to the …
Prediction-based scheduling techniques for cloud data center's workload: a systematic review
A cloud data center provides various facilities such as storage, data accessibility, and
running many specific applications on cloud resources. The unpredictable demand for …
running many specific applications on cloud resources. The unpredictable demand for …
esDNN: deep neural network based multivariate workload prediction in cloud computing environments
Cloud computing has been regarded as a successful paradigm for IT industry by providing
benefits for both service providers and customers. In spite of the advantages, cloud …
benefits for both service providers and customers. In spite of the advantages, cloud …
CoScal: Multifaceted scaling of microservices with reinforcement learning
The emerging trend towards moving from monolithic applications to microservices has
raised new performance challenges in cloud computing environments. Compared with …
raised new performance challenges in cloud computing environments. Compared with …
Characteristics of co-allocated online services and batch jobs in internet data centers: a case study from Alibaba cloud
In order to reduce power and energy costs, giant cloud providers now mix online and batch
jobs on the same cluster. Although the co-allocation of such jobs improves machine …
jobs on the same cluster. Although the co-allocation of such jobs improves machine …
CLR-DRAM: A low-cost DRAM architecture enabling dynamic capacity-latency trade-off
DRAM is the prevalent main memory technology, but its long access latency can limit the
performance of many workloads. Although prior works provide DRAM designs that reduce …
performance of many workloads. Although prior works provide DRAM designs that reduce …
Characterizing co-located workloads in alibaba cloud datacenters
Workload characteristics are vital for both data center operation and job scheduling in co-
located data centers, where online services and batch jobs are deployed on the same …
located data centers, where online services and batch jobs are deployed on the same …
A trajectory prediction-based and dependency-aware container migration for mobile edge computing
Edge computing and container technologies offer more possibilities for the development of
Internet of Vehicles (IOV). However, many studies have neglected the dependencies among …
Internet of Vehicles (IOV). However, many studies have neglected the dependencies among …
Degtec: A deep graph-temporal clustering framework for data-parallel job characterization in data centers
Y Liang, K Chen, L Yi, X Su, X Jin - Future Generation Computer Systems, 2023 - Elsevier
Complex data-parallel job contains task dependency information defined as Directed Acyclic
Graph (DAG). For convenience, the DAG presented data-parallel jobs are named as DAG …
Graph (DAG). For convenience, the DAG presented data-parallel jobs are named as DAG …
How different are the cloud workloads? characterizing large-scale private and public cloud workloads
With the rapid development of cloud systems, an increasing number of service workloads
are deployed in the private cloud and/or public cloud. Although large cloud providers such …
are deployed in the private cloud and/or public cloud. Although large cloud providers such …