Name
Title | ||
|---|---|---|
Using a multi-agent system and artificial intelligence for monitoring and improving the cloud performance and security. |
Abstract | ||
|---|---|---|
Cloud Computing is one of the most intensively developed solutions for large-scale distributed processing. Effective use of such environments, management of their high complexity and ensuring appropriate levels of Quality of Service (QoS) require advanced monitoring systems. Such monitoring systems have to support the scalability, adaptability and reliability of Cloud. Most of existing monitoring systems do not incorporate any Artificial Intelligence (AI) algorithms for supporting the change inside the task stream or environment itself. They focus only on monitoring or enabling the control of the system as a part of a separated service. An effective monitoring system for the Cloud environment should gather information about all stages of tasks processing and should actively control the monitored environment. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.future.2017.05.046 | Future Generation Computer Systems |
Keywords | Field | DocType |
Cloud computing,Cloud monitoring,Multi-agent systems,Cloud security,Genetic algorithms,Artificial neural networks,Independent batch scheduling | Computer science,Scheduling (computing),Quality of service,Multi-agent system,Real-time computing,Cloud computing security,Artificial intelligence,Genetic algorithm,Cloud computing,Scalability,Performance improvement,Distributed computing | Journal |
Volume | ISSN | Citations |
86 | 0167-739X | 11 |
PageRank | References | Authors |
0.51 | 26 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Grzonka | 1 | 34 | 3.64 |
| Agnieszka Jakobik | 2 | 37 | 6.46 |
| Joanna Kolodziej | 3 | 30 | 4.65 |
| Sabri Pllana | 4 | 384 | 40.25 |