Abstract
A telecommunication network is composed of a number of nodes. Each node can be either a terminal host or a web cache location. Objects are downloaded throughout the network among the nodes. An object can represent either a file or any other resource to be shared (e.g. machine time). For memory saving and for safety reasons, each object is composed of a number of portions and not all the portions are located within the same node, because no node should have the complete knowledge of each object. It means that a single node can have only a part of the file. It is strongly recommendable because if a single node should be accessed without authorization, the information retrieved would not be sufficient to detect the overall content.
Concerning networking viewpoint the following main issues will characterize the performance of object exchange: Position of the information, Strategy to reach the information, Algorithm to download information, Capacity Planning. The paper proposes a control architecture that considers the mentioned issues. It is composed of three layers: Local, Network and Planning Controller. The Local Controller acts locally to each node at object downloading time scale (seconds/minutes) and, after an “advanced flooding” signaling query to get informed about the object portions’ position, decides from which node (or nodes) each portion needs to be downloaded; the Network Controller may change the distribution of the object portions among the nodes; it acts with larger time scale (hours/day) and is centralized; the Planning Controller may change the dimension of each single portion and increase/decrease the physical link and node capacities. The order of magnitude of its intervention is weeks/months. The problem is modeled through a mathematical formulation and a specific cost function, which takes into account all the necessary details, is introduced for each controller as well as a minimization procedure.
A preliminary performance evaluation analyses the effect of the Local Controller.
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Bisio, I., Marchese, M., Mongelli, M., Raviola, A. (2006). Distributed Information Retrieval In GRID Environment: A Formal Approach. In: Davoli, F., Palazzo, S., Zappatore, S. (eds) Distributed Cooperative Laboratories: Networking, Instrumentation, and Measurements. Signals and Communication Technology. Springer, Boston, MA. https://doi.org/10.1007/0-387-30394-4_23
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DOI: https://doi.org/10.1007/0-387-30394-4_23
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