Various researches have been conducted to discover the machinery that led evolvement of non-symmetric formation groups by uncountable marine animals. The huge tasks comes per unit time brought obstacles assign each particular server, while task assignment needed a fast strategy make decision. Artificial fish affect environment through their behavior and peers. Creating synthetic model has two p...

We study a problem of scheduling client requests to servers. Each client has a particular latency requirement at each server and may choose either to be assigned to some server in order to get serviced provided that her latency requirement is met or not to participate in the assignment at all. From a global perspective, in order to optimize the performance of such a system, one would aim to max...

In this paper, we investigate the problem of assignment of K identical servers to a set of N parallel queues in a time slotted queueing system. The connectivity of each queue to each server is randomly changing with time; each server can serve at most one queue and each queue can be served by at most one server per time slot. Such multi-server queueing systems were widely applied in modeling th...

Problems dealing with assignment of clients to servers have been widely studied. However, they usually do not model the fact that the delay incurred by a client is a function of both the distance to the assigned server and the load on this server, under a given assignment. We study a problem referred to as the Load-Distance Balancing problem (or LDB), where the objective is assigning a set of c...

This work studies a variant of the online generalized assignmen t problem , where there are m P 2 heterogeneous servers to process n requests which arrive one by one over time. Each request mu st either be assigned to one of the servers or be rejected upon its arrival, before knowing any information of future requests. There is a corresponding weight (or revenue) for assigning each request to a...

Federated Learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train deep model, without the need share their local data. It promising solution for telemonitoring systems demand intensive data collection, detection, classification, and prediction of future events, from different locations while maintaining strict privacy constraint. Due concerns critic...

Tunnel Broker model, as defined in RFC3053, is a solution to the automation of IPv6 address assignment and IPv6 over IPv4 tunnel management. Tunnel server selection and fault tolerance are two big problems for a Tunnel Broker system. Anycast makes it possible to solve the tunnel server selection problem and improve the system’s fault tolerance. This paper proposes an architecture of the Tunnel ...

AI IS’1’RAC’1’: We examine the problems of routing and server assignment in network with ranclom connectivities. In such a network the basic topology is fixed, but during each time slot ancl for each of its iw ~Jut queues, each server (node) is either connected to or disconnected from each of its input queues with some probability. I~uring each time slot a server must decide which of its connec...