Energy efficient fault tolerance techniques in green cloud computing: A systematic survey and taxonomy
Cloud computing has brought the accessibility of several software platforms under a single
roof. It has transformed resources into scalable services on demand and provides the only …
roof. It has transformed resources into scalable services on demand and provides the only …
Iterated greedy algorithms for flow-shop scheduling problems: A tutorial
ZY Zhao, MC Zhou, SX Liu - IEEE Transactions on Automation …, 2021 - ieeexplore.ieee.org
An iterated greedy algorithm (IGA) is a simple and powerful heuristic algorithm. It is widely
used to solve flow-shop scheduling problems (FSPs), an important branch of production …
used to solve flow-shop scheduling problems (FSPs), an important branch of production …
Dual-objective mixed integer linear program and memetic algorithm for an industrial group scheduling problem
Z Zhao, S Liu, MC Zhou… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Group scheduling problems have attracted much attention owing to their many practical
applications. This work proposes a new bi-objective serial-batch group scheduling problem …
applications. This work proposes a new bi-objective serial-batch group scheduling problem …
Heuristic scheduling of batch production processes based on petri nets and iterated greedy algorithms
Wire rod and bar rolling is an important batch production process in steel production
systems. A scheduling problem originated from this process is studied in this work by …
systems. A scheduling problem originated from this process is studied in this work by …
Dynamic energy efficient resource allocation strategy for load balancing in fog environment
The Internet of Things is a flexible, emerging technology and an innovative development of
the environmental trend. It is a large and complex network of devices in which fog computing …
the environmental trend. It is a large and complex network of devices in which fog computing …
Online job scheduling scheme for low-carbon data center operation: An information and energy nexus perspective
As the digitalization of the economy and society accelerates, the enormous and fast-growing
energy consumption of data centers is becoming a global concern. With the unique power …
energy consumption of data centers is becoming a global concern. With the unique power …
DCHG-TS: a deadline-constrained and cost-effective hybrid genetic algorithm for scientific workflow scheduling in cloud computing
Cloud infrastructures are suitable environments for processing large scientific workflows.
Nowadays, new challenges are emerging in the field of optimizing workflows such that it can …
Nowadays, new challenges are emerging in the field of optimizing workflows such that it can …
Design of cultural emperor penguin optimizer for energy-efficient resource scheduling in green cloud computing environment
In recent times, energy related issues have become challenging with the increasing size of
data centers. Energy related issues problems are becoming more and more serious with the …
data centers. Energy related issues problems are becoming more and more serious with the …
Scheduling of continuous annealing with a multi-objective differential evolution algorithm based on deep reinforcement learning
This paper studies a multi-objective scheduling problem in a continuous annealing
operation of the steel industry, which is to simultaneously determine the production batch …
operation of the steel industry, which is to simultaneously determine the production batch …
A two-stage preference driven multi-objective evolutionary algorithm for workflow scheduling in the Cloud
The workflow scheduling problem considered difficult in the Cloud becomes even more
challenging when multiple scheduling criteria are used for optimization. It is much harder to …
challenging when multiple scheduling criteria are used for optimization. It is much harder to …