No abstract

Due to copyright restrictions, the access to the full text of this article is only available via subscription.The fast increase in mobile device and bandwidth usage is generating big workloads on the IT infrastructures of mobile service providers and increasing management costs. These providers collect log files continuously and use these logs for billing, operational and marketing purposes. In this paper, we describe the design, implementation and efficient parallel processing of large-scale mobile logs using the open-source Hadoop-based low-cost private cloud system for near real-time analytics. We find that batching of small files, parallel loading and pipelining of different workloads by overlapping their disk-and-CPU intensive phases can have significant performance benefits. Optimizations were performed in the light of these findings. Our web-based interface helps users explore progress and performance of their workloads.Avea Lab ; European Commission ; IBM Shared University Research ; TÜBİTA

Plant parasitic nematodes cause the highest financial losses in agricultural crops. Numerous microorganisms (bacteria and fungi) and extracts from plants are used in the control of these pests, as well as chemical controls. However, chemical control has negative effects on the environment and human health, while bionematicides are an extremely reliable alternative management option. Bionematicides can act synergistically or as additives with other agricultural inputs in IPM programs and increase the effectiveness of nematode control. In this review, bionematicides of bacterial, fungal and plant/animal origin used in the control of plant parasitic nematodes are listed and discussed.