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Adaptive Resource Management in Active Network Nodes

AuthorYuhong Li
PublisherLogos Verlag
61.00 USD
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Book Details

Author(s)Yuhong Li
PublisherLogos Verlag
ISBN / ASIN3832506330
ISBN-139783832506339
AvailabilityUsually ships in 24 hours
Sales Rank99,999,999
MarketplaceUnited States  🇺🇸

Description

Active Networks enable users to inject and execute their programs in the active nodes in order to increase the flexibility of the networks. This changes greatly the resource usage in the active nodes and requires correspondingly a new resource management mechanism. However, the existing work has not addressed the provisioning of resource guarantees for applications and simultaneously taken the new resource usage characteristics emerged in active networks into account. Due to the introduction of user-specific computation in the active nodes, resources such as CPU and memory used by applications cannot be neglected like normally done in the current IP-based networks anymore. Moreover, due to the diversity of user programs, the usage of different types of resources in the active node systems may be non-balanced. Thus, situations that a user-specific computation cannot be executed due to the lack of only one or several types of resources may appear. Therefore, the resource management methods employed in the current Internet cannot be directly used in active networks. A more elaborated resource management method is needed in active nodes. The usage of each type of resources, the possible tradeoff among the resources, as well as the total system resource utilization must be considered. In this work, a new resource management mechanism for active nodes has been developed. In order to address both the type and the amount of resources in active nodes, the concept of resource vector is introduced to facilitate the description of the resource usage in the active node system. Based on this, the adaptable resource vector space (ARVS) is suggested to describe the resource adaptability of applications. The ARVS formulates a generic model for network adaptation, and expresses also the individual resource requirements of applications. An adaptive admission control mechanism has been designed to support the resource adaptation a
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