Developing a Cloud Intelligent and Energy-Saving Information Interface Agent with Web Services

Yang, Sheng-Yuan; Lee, Dong-Liang

doi:10.1109/waina.2012.18

Cited by 5 publications

(1 citation statement)

References 6 publications

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“…In [10] a cloud intelligent and energy-saving information interface agent with web services was presented where it was seen that agent simply cannot search relevant technologies to build web service platform but can explore the development of cloud interactive diagrams by making use of web service techniques for widely and consistently merging backend information systems on the Internet. This work was the first cloud energy-saving information agent which used web service techniques by presenting a three-stage intelligent decision processing strategy.…”

Section: Literature Survey 31 a Review On Applications Of Mass In CLmentioning

confidence: 99%

Dynamic Consolidation of Virtual Machines with Multi-Agent System

Barlaskar¹,

Singh²

2014

IJCA

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Cloud computing systems supply massive infrastructures for high-performance computing that are flexible as they are able to acclimate to user and application requirements. Cloud Computing offers on demand services which are used by virtue of a service-oriented interface that execute the anything-as-a-service archetype. The enlargement of Cloud computing has resulted in the establishment of large-scale data centers around the world containing thousands of compute nodes and these data centers consume excessive amounts of electrical energy resulting in high operating costs. Therefore, to cut down the cost of energy consumption the cloud providers must optimize resource usage by performing dynamic consolidation of virtual machines (VMs) in an effective way to improve energy efficiency in cloud data center. The problem of VM consolidation can be split into four sub-problems namely physical machine overload detection; physical machine under-load detection; VM selection and VM placement. Each of the afore-stated subproblems must operate in an optimized manner to maintain the tradeoff between energy and performance. In this research paper a new multi-agent system (MAS) for dynamic consolidation of VMs is proposed with the aim of making the cloud system smarter by incorporating the five traits of multiagent systems which are ubiquity, interconnection, intelligence, delegation and human orientation. The Cloud Computing systems require intelligent and perceptive based software with progressive, elastic, self-ruling style which can be provided by MASs. The proposed method has significantly reduced energy consumption and at the same time ensures a high level of constancy to the Service Level Agreements (SLA).

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Section: Literature Survey 31 a Review On Applications Of Mass In CLmentioning

confidence: 99%