DYNAMIC LOAD BALANCING FOR THE DISTRIBUTED MINING OF MULTILEVEL AND LOCATION AWARE SERVICE PATTERNS

DYNAMIC LOAD BALANCING FOR THE DISTRIBUTED MINING OF MULTILEVEL AND LOCATION AWARE SERVICE PATTERNS

MINI ABSTRACT:

                   In this project, we present a data mining algorithm for the prediction of user movements in a mobile computing system. The algorithm proposed is based on mining the mobility patterns of users, forming mobility rules from these patterns, and finally predicting a mobile user’s next movements by using the mobility rules.

                   Through accurate prediction of mobile user movements, our algorithm will enable the system to allocate resources to users in an efficient manner, thus leading to an improvement in resource utilization and a reduction in the latency in accessing the resources.

                   Another benefit of our algorithm will be to enable the system to produce more accurate answers to location-dependent queries that refer to future positions of mobile users.

EXISTING SYSTEM

                             It is only dealing with Frequent Sub graph Mining Using Dynamic Load Balancing.

·        Taxonomy is incorporated for representing the hierarchical relations of items.

·        It does not support dynamic load balancing.

                    Advances in hardware and wireless network technologies have created low-cost, low-power, multifunctional miniature sensor devices.

                    The available data, the data mining tools must have a mechanism for analyzing data from a wide variety of data sources and should be able to handle data characterized by                   

(a) Spatial (or temporal) distribution

(b) Different data security classification levels

(c) Complexity and multi-feature representations

(d) Vertical partitioning

                   The project facilitates the domain expert’s in the service provider office to provide data allocation and personalization service to the mobile web users. It will search the nodes in the distributed network for frequent user moving path and related frequent service he/she performing.

PROPOSED SYSTEM

          The proposed dynamic load balancing for the distributed mining of multilevel and location-aware service pattern system is completely a new one used to find most frequent services performed by the mobile users in a particular location. So far there are many system used to identify the mobile user-moving path and most frequent services performed by the mobile users at particular time.

          The major functions performed by our proposed system are that it mainly performs distributed mining of location-aware service pattern and it also performs dynamic load balancing.

          This is needed when we are using the peer-to-peer system for distributed mining so that the resources will be used more effectively.

 The features of the Proposed System are

·         It naturally tolerates node failures and communication latency.

·         It supports dynamic resource aggregation.

·         High scalability of the communication framework makes this distributed mining application suitable for multi-domain.

·         Very low communication and synchronization requirements.

·         It will be utilized in real application like location-based and personalized services.