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A low-level resource allocation in an agent-based Cloud Computing platform
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DOI：10.1016/j.asoc.2016.05.056.png)
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Abstract
En 中文
The distribution of computational resources in a Cloud Computing platform is a complex process with several parameters to consider such as the demand for services, available computational resources and service level agreements with end users. Currently, the state-of-the-art presents centralized approaches derived from previous technologies related to cluster of servers. These approaches allocate computational resources by means of the addition/removal of (physical/virtual) computational nodes. However, virtualization technology currently allows for research into new techniques, which makes it possible to allocate at a lower level. In other words, not only is it possible to add/remove nodes, but also to modify the resources of each virtual machine (low level resource allocation). Thus, agent theory is a key technology in this field, allowing decentralized resource allocation. This innovative approach has undeniable improvements such us computational load distribution and reduced computation time. The evaluation was carried out through experiments in a real Cloud environment, thus proving the validity of the proposed approach. (C) 2016 Elsevier B.V. All rights reserved.
Keywords:
Allocation computation resources
Load balancing
Multiagent systems
Virtual organizations
Linear programming
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