TY  - JOUR
KW  - Cloud computing; Consumer behavior; Distributed database systems; Intelligent agents; Web services
KW  -  Agent-based negotiation system; Cloud service providers; Cloud services; Cloud-computing; Competitive environment; Consumer services; Minimum time; Negotiation; Negotiation process; SLA
KW  -  Intelligent systems
ID  - scholars17410
N2  - Cloud service providers (CSP) are facing a competitive environment in the cloud-computing world and CSP is huge in demand with the growing field of IoT, fog, and cloud services. Consumers are always looking forward to acquiring services as per requirement. Due to the competitive field in the market of cloud computing, consumers face issues during the delivery of services. Consumer and CSP need an intelligent agent to mediate which performs the negotiations process on behalf of both parties and maintaining other responsibilities. An intelligent agent-based negotiation system (IANS) is required to perform the negotiation process and measure the KPIs during the process that helps to make quick decisions in minimum time. Researchers suggested many learning algorithm-based agents that maximize the success rate and speed of negotiation. IANS with behavior analysis of consumers and CSP helps to opt for more reliable and secure services. IANS uses negotiation metrics, performance factors, and evaluation measures for decision. Due to the dynamic environment of cloud services, IANS is recommended for the negotiation process. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
VL  - 758
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142692872&doi=10.1007%2f978-981-16-2183-3_51&partnerID=40&md5=fb017fcdf50336cdac785de83f664e01
JF  - Lecture Notes in Electrical Engineering
A1  - Kumar, R.
A1  - Hassan, M.F.
A1  - Adnan, M.H.M.
Y1  - 2022///
SP  - 547
TI  - Analysis of Intelligent Agent and Its Components for the SLA Negotiation Process in Cloud Computing
N1  - cited By 1; Conference of 1st International Conference on Artificial Intelligence for Smart Community, AISC 2020 ; Conference Date: 17 December 2020 Through 18 December 2020; Conference Code:286319
AV  - none
EP  - 552
SN  - 18761100
PB  - Springer Science and Business Media Deutschland GmbH
ER  -