A novel classification model, named the quantum-behaved particle swarm optimization (QPSO)-based weighted multiple kernel extreme learning machine (QWMK-ELM), is proposed in this paper. Experimental validation is carried out with two different electronic nose (e-nose) datasets. Being different from the existing multiple kernel extreme learning machine (MK-ELM) algorithms, the combination coeffi...

This paper introduces the idea of dynamically moving functionality in a network—between clients and servers, and between hosts at the edge of the network and nodes inside the network. At the heart of moving functionality is the ability to support mobile code—code that is not tied to any single machine, but instead can easily move from one machine to another. Mobile code has been studied mostly ...

Cloud computing has become an attractive target for attackers as the mainstream technologies in the cloud, such as the virtualization and multitenancy, permit multiple users to utilize the same physical resource, thereby posing the so-called problem of internal facing security. Moreover, the traditional network-based intrusion detection systems (IDSs) are ineffective to be deployed in the cloud...

This paper proposes an architecture that can support autonomous mobile agents performing intrusion prevention activities on a heterogeneous network. The division of duties performed by the agents in the system ensures the agents are able to remain distributed throughout the network architecture to eliminate single points of failure. The distributed nature of the architecture reduces the workloa...

In this paper, single machine scheduling problems with sequence dependent setup times are considered. The objective is to minimize the total weighted tardiness. The single machine total weighted tardiness (SMTWT) scheduling problems with sequence dependent setup times were proved to be strongly NP-hard. A recently developed meta-heuristic algorithm called as crow search algorithm is proposed to...

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This paper studies the single-machine scheduling problem with deteriorating jobs and learning considerations. The objective is to minimize the makespan. We first show that the schedule produced by the largest growth rate rule is unbounded for our model, although it is an optimal solution for the scheduling problem with deteriorating jobs and no learning. We then consider three special cases of ...

Operational and investment costs are reduced by resource sharing in virtual machine (VM) environments, which also results in an overhead for hosted services. VM machine performance is important because of resource contention. If an application takes a long time to execute because of its CPU or network, it is considered to be a failure because if many VMs are running over a single hardware platf...