User requirements for a high availability and fast response time of network services require placing more than one server for accessing particular network service, often using multiple communication links and locations. Dynamic Server Selection (DSS) is a new DNS method for the optimal server selection of a multiple available network service that allows dynamic selection of a server on the client side based on the information of the server load and its network topological distance from the client. The server selection is based on the calculations of a composite DNS-metric in which servers, whose IP addresses are sent in a DNS response, are ranked from the optimal to the least suitable. Calculation parameters are server response time, which the client measures for each server independently, and the server load, which is specified by the server administrator and is forwarded to the client together with the rules for calculating the composite DNS-metric. The DSS method has the lowest overall network service response time in comparison with the other four observed methods (Geographical, Hops, Random and RTT) which, in measurements done in a real time environment for two servers accessible by two independent internet links each, have a longer response time from 8.5 to 26.8% compared to DSS. Results of the proposed analytical model for calculating the efficiency index of the DSS method are compared with results of the practical measurements confirming the relevance of the analytical model. In measurements, the DSS method achieved a high average efficiency index of 1.23.
Robots in medicine, unlike industrial automation, can be viewed as an extension or enhancement of human capabilities. The legitimacy of robotics in the health care system stems from the fact that its use increases the efficiency of the treatment process and improves the health of an individual. On the other hand, involving robots in the medical procedures brings a high degree of risk and liability for damage. Legal doubts that arising in regard of the use of robots in medicine are related to civil liability for damage caused to the patient during the medical procedure. In that context, it is necessary to determine the model of indemnity liability that applies to damages due to the action of robots in a medical procedure. Which system shall be applied: the system of subjective liability based on fault (guilt), or the system of objective liability without determining the injurer's fault? This issue is gaining in importance given the degree of autonomy of robots in performing medical procedures. The paper will emphasize the need for legislative intervention in the Croatian legal system in order to adapt to the growing use of robots in medicine. The paper will summarize the results of the analysis on these issues and offer possible solutions in court practice and legal dogmatics.
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