A Distributed Computing System (DCS) comprising networked heterogeneous processors requires efficient tasks to processor allocation to achieve minimum turnaround time and highest possible throughput. Task allocation in DCS remains an important and relevant problem attracting the attention of researchers in the discipline. A good number of task allocation algorithms have been proposed in the lit...

We consider the problem of resource allocation in mining multiple data streams. Due to the large volume and the high speed of streaming data, mining algorithms must cope with the effects of system overload. How to realize maximum mining benefits under resource constraints becomes a challenging task. In this paper, we propose a load shedding scheme for classifying multiple data streams. We focus...

OBJECTIVE To evaluate whether degree of inflammatory activity in multiple sclerosis, expressed by frequency of gadolinium enhancement, has prognostic value for development of hypointense lesions on T1-weighted spin-echo magnetic resonance images, a putative marker of tissue destruction. DESIGN Cohort design with long-term follow-up. Thirty-eight patients with multiple sclerosis who in the pas...

Load balancing algorithms play critical roles in systems where the workload has to be distributed across multiple resources, such as cores in multiprocessor system, computers in distributed computing, and network links. In this paper, we study and evaluate four load balancing methods: random, round robin, shortest queue, and shortest queue with stale load information. We build a simulation mode...

Load balancing is a technique in which workload is distributed across multiple computers or other resources to get optimal resource utilization, minimum time delay, maximize throughput and avoid overload. Mainly in operation of parallel and distributed computing systems, load balancing problem arises. Load balancing scheme can be characterized as: static and dynamic load balancing. This paper r...

Efficient use of multiple batteries is a practical problem with wide and growing application. The problem can be cast as a planning problem under uncertainty. We describe the approach we have adopted to modelling and solving this problem, seen as a Markov Decision Problem, building effective policies for battery switching in the face of stochastic load profiles. Our solution exploits and adapts...

This paper presents a Gaussian process model-based short-term electric load forecasting. The Gaussian process model is a nonparametric model and the output of the model has Gaussian distribution with mean and variance. The multiple Gaussian process models as every hour ahead predictors are used to forecast future electric load demands up to 24 hours ahead in accordance with the direct forecasti...

Multiple sequence alignment program, ClustalW, is time consuming, however, commonly used to compare the protein sequences. ClustalW includes two main time consuming parts: pairwise alignment and progressive alignment. Due to the irregular computation based on tree in progressive alignment, available parallel programs can not achieve reasonable speedups for large scale number of sequences. In th...

The latest professional Karaoke system released in Japan has no ASIC for sound synthesis and effects processing, but instead a small group of load-sharing DSPs that co-operatively handle the varied and dynamically varying tasks of complex high-quality audio performance. The software-only system is a first for the audio industry, heralding a new generation of downloadable and task-sensitive soft...

While human subjects tracked a subset of ten identical, randomly-moving objects, event-related potentials (ERPs) were evoked at parieto-occipital sites by task-irrelevant flashes that were superimposed on either tracked (Target) or non-tracked (Distractor) objects. With ERPs as markers of attention, we investigated how allocation of attention varied with tracking load, that is, with the number ...