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A key challenge for the management systems of future networks is the reduction of human interventions in the fundamental management functions. These include mechanisms that render the networks capable to configure, optimize, heal and protect itself, but also handle the emerging complexity. Demands for the future internet networks mandate the rapid...
Contexts in source publication
Context 1
... loads and expected mobility patterns. The assignment of ARs to MA would also be pre-determined. Hence, the configuration of the network is static and the network cannot adapt to spatial and temporal variations in traffic demand and mobility patterns [28]. Handover probabilities have first been measured in a network comprising 12 nodes, see Fig. 13. Figure 13 shows the topology used to study the performance results for different MA locations. In this topology, router 1 is the gateway to reach the Internet, and routers 7 to 12 are the access routers. If an MA is placed at the GW, the intra-MA handover cost will be at its maximum as the packets will need the maximum number of hops ...
Context 2
... probabilities have first been measured in a network comprising 12 nodes, see Fig. 13. Figure 13 shows the topology used to study the performance results for different MA locations. In this topology, router 1 is the gateway to reach the Internet, and routers 7 to 12 are the access routers. ...
Context 3
... MAs are introduced in the network, the congestion gets higher but the handover cost is reduced drastically. Figure 13 also depicts the effect of the location of the MAs. For instance, the congestion will not be the same if the network encompasses two MAs at different nodes (MAs at router 6 and 9, and MAs at router 2 and 3). ...
Citations
... In [3,1] the devices which will host a service replica (host devices) are selected on the basis of their hardware capabilities, without taking account the topology of the network. In [5] the host device is elected by its position within the topology, however, it is a static node and dynamic features are not considered. In [1], service replicas will be created when too many requests are made to a service from an external group. ...
Ubiquitous environments present a dynamic network topology which implies frequent context changes which can affect the availability of the services deployed in the system. In order to obtain the full potential that this kind of environments can provide to assist human beings, this challenge must be faced. Service replication models in combination with self-adaptive capabilities may help to improve service availability and strengthen the system. In this work, it is presented a conceptual model to support a run-time service deployment taking into consideration relevant context information, such as resource availability, network topology and service requirements.
... However, if the threshold is violated and the load balancing procedure is applied, the AP should be able to keep track of all subsequent events in order to verify that the problem has been successfully resolved. Similar arguments can be applied for situations like interference identification [24], coverage and capacity optimization [25], etc. ...
The recent advances in network management systems suggest the adoption of autonomic mechanisms in order to minimize the need for human intervention while handling complex heterogeneous networks. Data acquisition performed by monitoring processes is an essential part of autonomic mechanisms. The rate of sampling is a crucial factor since it is related to (1) the successful/unsuccessful detection of events, (2) the processing power needed to perform the sampling and (3) the energy that a node consumes during such actions. In order to address these issues we designed a simple and efficient mechanism that dynamically adapts the sampling rate of the context monitoring procedure. The merits of the mechanism are quantified by means of an analytical model as well as through extensive simulations that validated the theoretic outcomes. Finally, we experimentally assessed the effectiveness and efficiency of our approach through two real-world experiments. Overall results showcase that our mechanism achieves high detection rates while in parallel minimizes significantly the number of monitoring loops thus, emerges as a viable approach for context monitoring optimization in autonomic networks.
