Multi-objective task and workflow scheduling approaches in cloud computing: a comprehensive review
Efficient task and workflow scheduling are very important for improving resource
management and reducing power consumption in cloud computing data centers (DCs) …
management and reducing power consumption in cloud computing data centers (DCs) …
A review on recent studies utilizing artificial intelligence methods for solving routing challenges in wireless sensor networks
Wireless sensor networks (WSNs) are becoming increasingly important, providing pervasive
real-time applications that have been used to enhance smart environments in various fields …
real-time applications that have been used to enhance smart environments in various fields …
[PDF][PDF] Artificial bee colony optimization algorithm for enhancing routing in wireless networks
The throughput of wireless multi-channel networks are enhanced using artificial intelligence
algorithm. The performance of the network may be improved while reducing the interference …
algorithm. The performance of the network may be improved while reducing the interference …
A new hybrid chaotic atom search optimization based on tree-seed algorithm and Levy flight for solving optimization problems
S Barshandeh, M Haghzadeh - Engineering with Computers, 2021 - Springer
Optimizing the high computational real-world problems is a challenging task that has taken a
great deal of efforts in the last decade. The meta-heuristic algorithms have brought countless …
great deal of efforts in the last decade. The meta-heuristic algorithms have brought countless …
An improved discrete harris hawk optimization algorithm for efficient workflow scheduling in multi-fog computing
Workflow scheduling in fog computing is an NP-hard problem that tries to allocate the best
possible set of resources for the workflows considering various objectives such as …
possible set of resources for the workflows considering various objectives such as …
A novel Q-learning-based hybrid algorithm for the optimal offloading and scheduling in mobile edge computing environments
Abstract Mobile Edge Computing (MEC) has arisen as a promising computing paradigm
consisting of three tiers: Smart Mobile Devices (SMDs), fog nodes, and the cloud. The MEC …
consisting of three tiers: Smart Mobile Devices (SMDs), fog nodes, and the cloud. The MEC …
Using differential evolution and Moth–Flame optimization for scientific workflow scheduling in fog computing
Fog computing is an interesting technology aimed at providing various processing and
storage resources at the IoT networks' edge. Energy consumption is one of the essential …
storage resources at the IoT networks' edge. Energy consumption is one of the essential …
Improved butterfly optimization algorithm for data placement and scheduling in edge computing environments
Mobile edge computing (MEC) is an interesting technology aimed at providing various
processing and storage resources at the edge of mobile devices (MDs). However, MECs …
processing and storage resources at the edge of mobile devices (MDs). However, MECs …
Clustering analysis through artificial algae algorithm
Clustering analysis is widely used in many areas such as document grou**, image
recognition, web search, business intelligence, bio information, and medicine. Many …
recognition, web search, business intelligence, bio information, and medicine. Many …
An enhanced binary slime mould algorithm for solving the 0–1 knapsack problem
The slime mould algorithm (SMA) has recently been introduced to solve continuous
engineering problems, which has been employed to solve a wide range of various problems …
engineering problems, which has been employed to solve a wide range of various problems …