7 research outputs found
An Overview of Query-Broadcasting Techniques in Ad Hoc Networks
This chapter presents query-broadcasting techniques used to minimize expenses of the route discovery in ad hoc networks. A broad variety of such techniques have been proposed that improved the effectiveness and efficiency in various aspects of route discovery considering time and energy. Time-to-live based broadcast is the most common controlled flooding scheme widely used in routing protocols. One category of such techniques leveraged the routing history, while other category used broadcast repealing strategy to cancel the query-broadcast after successful route discovery
Analysis and Clustering of Workload in Google Cluster Trace based on Resource Usage
Cloud computing has gained interest amongst commercial organizations,
research communities, developers and other individuals during the past few
years.In order to move ahead with research in field of data management and
processing of such data, we need benchmark datasets and freely available data
which are publicly accessible. Google in May 2011 released a trace of a cluster
of 11k machines referred as Google Cluster Trace.This trace contains cell
information of about 29 days.This paper provides analysis of resource usage and
requirements in this trace and is an attempt to give an insight into such kind
of production trace similar to the ones in cloud environment.The major
contributions of this paper include Statistical Profile of Jobs based on
resource usage, clustering of Workload Patterns and Classification of jobs into
different types based on k-means clustering.Though there have been earlier
works for analysis of this trace, but our analysis provides several new
findings such as jobs in a production trace are trimodal and there occurs
symmetry in the tasks within a long job typ
Predicting Emerging Trends on Social Media by Modeling it as Temporal Bipartite Networks
The behavior of peoples' request for a post on online social media is a stochastic process that makes post's ranking highly skewed in nature. We mean peoples interest for a post can grow/decay exponentially or linearly. Considering this nature of the evolutionary peoples' interest, this paper presents a Growth-based Popularity Predictor (GPP) model for predicting and ranking the web-contents. Three different kinds of web-based real datasets namely Movielens, Facebook-wall-post and Digg are used to evaluate the performance of the proposed model. This performance is measured based on four information-retrieval metrics Area Under receiving operating Characteristic (AUC), Novelty, Precision, and Kendal's Tau. The obtained results show that the prediction performance can be further improved if the score is mapped onto a cumulative predicted item's ranking.https://doi.org/10.1109/ACCESS.2020.297613
An unanticipated difficult airway in Lesch–Nyhan syndrome
An 11-year-old boy with Lesch–Nyhan syndrome presented to the emergency for fixation of a fractured femur. During induction of general anesthesia, unexpected difficult intubation was encountered with a 6.5-mm ID endotracheal tube and successively smaller tubes, also failing to pass 1 cm beyond the vocal cords. Intubation was finally achieved with a 4.5-mm ID tube. The surgery was completed uneventfully. A tracheal diverticulum was found in the computerized tomography (CT) scan performed postoperatively to account for this unexpected difficult intubation. This case highlights the anesthetic concerns in Lesch-Nyhan syndrome and also reports the rare occurrence of a tracheal diverticulum associated with it