A fair, dynamic load balanced task distribution strategy for heterogeneous cloud platforms based on Markov process modeling
Load balancing techniques in cloud computing can be applied at three different levels:
Virtual machine load balancing, task load balancing, and resource load balancing. At all …
Virtual machine load balancing, task load balancing, and resource load balancing. At all …
A shared energy storage business model for data center clusters considering renewable energy uncertainties
The energy consumption of data centers (DCs) is on a sharp upward trend in recent years.
DCs are playing an increasingly important role in demand response (DR) programs …
DCs are playing an increasingly important role in demand response (DR) programs …
Enhanced bee colony algorithm for efficient load balancing and scheduling in cloud
Cloud computing is a promising paradigm which provides resources to customers on their
request with minimum cost. Cost effective scheduling and load balancing are major …
request with minimum cost. Cost effective scheduling and load balancing are major …
A multi-objective optimization for resource allocation of emergent demands in cloud computing
J Chen, T Du, G **ao - Journal of Cloud Computing, 2021 - Springer
Cloud resource demands, especially some unclear and emergent resource demands, are
growing rapidly with the development of cloud computing, big data and artificial intelligence …
growing rapidly with the development of cloud computing, big data and artificial intelligence …
Renewable energy-aware big data analytics in geo-distributed data centers with reinforcement learning
In the age of big data, companies tend to deploy their services in data centers rather than
their own servers. The demands of big data analytics grow significantly, which leads to an …
their own servers. The demands of big data analytics grow significantly, which leads to an …
Mobility-and load-adaptive controller placement and assignment in LEO satellite networks
Software-defined networking (SDN) based LEO satellite networks can make full use of
satellite resources through flexible function configuration and efficient resource …
satellite resources through flexible function configuration and efficient resource …
Enhancing of artificial bee colony algorithm for virtual machine scheduling and load balancing problem in cloud computing
B Kruekaew, W Kimpan - International Journal of Computational …, 2020 - Springer
This paper proposes the combination of Swarm Intelligence algorithm of artificial bee colony
with heuristic scheduling algorithm, called Heuristic Task Scheduling with Artificial Bee …
with heuristic scheduling algorithm, called Heuristic Task Scheduling with Artificial Bee …
Deep matrix factorization for trust-aware recommendation in social networks
Recent years have witnessed remarkable information overload in online social networks,
and social network based approaches for recommender systems have been widely studied …
and social network based approaches for recommender systems have been widely studied …
DeepCC: Multi-agent deep reinforcement learning congestion control for multi-path TCP based on self-attention
With the development of the Internet of Things (IoT) and 5G, there are ubiquitous smart
devices and network functions providing emerging network services efficiently and optimally …
devices and network functions providing emerging network services efficiently and optimally …
Hybrid grey wolf and improved particle swarm optimization with adaptive intertial weight-based multi-dimensional learning strategy for load balancing in cloud …
S Janakiraman, MD Priya - Sustainable Computing: Informatics and …, 2023 - Elsevier
The popularization of Internet applications and rapid advent of information technologies
have invited increased number of developers and companies to focus on the area of Cloud …
have invited increased number of developers and companies to focus on the area of Cloud …