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This paper presents a rule driven method of developing composite dispatching rule for multi objective dynamic scheduling. Data envelopment analysis is adopted to select elementary dispatching rules, where each rule is justified as efficient for optimizing specific operational objectives of interest. The selected rules are subsequently combined into a single(More)
Network lifetime and coverage are viewed as the dominating considerations in designing the structure layout for Wireless Sensor Networks (WSN). In a WSN, the sensor nodes and its central node are located far apart to ensure good coverage over the concerning area. However, communication over long distance between the nodes consumes excessive energy from the(More)
Due to the heterogeneous, opaqueness and dynamic nature of Cloud Computing, existing MapReduce approach is not suitable for perform Parallel Computing on the cloud. In this paper, we propose a modified MapReduce framework which extracts the physical network topology information from the Virtual Machine Monitor (VMM) feature of VMs, in order to exploit(More)
Threshold proxy signature is more practical, flexible and secure than traditional proxy signature and multi-proxy signature schemes. However, the majority of existing identity-based threshold proxy signature schemes is still inefficient and impractical. Cloud services allow users to create, store, edit, and read electronic documents on the internet(More)
—A mathematical based approach is presented to evaluate the dynamic cellular reconfiguration problem in a CM system. The model developed is a multi-objective Goal Programming problem that simultaneously considers performance in machine utilization, inter-cellular part movements, and machine reallocation. The merit of the approach presented in this paper is(More)
This paper presents a novel dispatching rule composition method based on Analytic Hierarchy Process for multi objective dynamic scheduling of single machines. By combining different elementary dispatching rules, the proposed method is capable of solving hetero-objective dynamic scheduling problems. Computer simulations were conducted to demonstrate the(More)
In Wireless Sensor Networks (WSN), the sensor nodes and its central node are located some distance apart to ensure good coverage over the concerning area. However, the communication distance between sensor nodes is directly proportional to power consumption, and the ultimate effective point-to-point distance is nevertheless limited. to overcome this(More)
In this paper, we present a hybrid socio-rational secret sharing scheme, which is based on a belief learning model. Using this model, the player can learn the probabilities of the other players' likely action, upon which the player can responsively choose his next counter action(s) with the expected probabilities. Finally, we exploit the application of our(More)