While cluster computing frameworks are continuously evolving to provide real-time data analysis capabilities, Apache Spark has managed to be at the forefront of big data analytics for being a unified framework for both, batch and stream data processing. There is also a renewed interest is Near Data Computing (NDC) due to technological advancement in the last decade. However, it is not known if ...

This paper describes the development of a flexible Role Based Access Control (RBAC) authorisation module – the Shibboleth and Apache Authorisation Module (SAAM) which is based on the PERMIS privilege management infrastructure. It explains how the module can work with the Apache web server, with or without Shibboleth. We argue that this can effectively improve the level of trust and flexibility ...

GridSite has extended the industry­standard Apache webserver for use within Grid projects, both by adding support for Grid security credentials such as GSI and VOMS, and with the GridHTTP protocol for bulk file transfer via HTTP. We describe how GridHTTP combines the security model of X.509/HTTPS with the performance of Apache, in local and wide area bulk transfer applications. GridSite also su...

Deep Learning (DL) is a subfield of Machine Learning (ML) that focuses on learning hierarchical representations of data with multiple levels of abstraction using neural networks [15]. Recent advances in deep learning are made possible due to the availability of large amounts of labeled data, use of GPGPU compute, and application of new techniques (such as ReLU, batch normalization [12], dropout...

We demonstrate how adding resource revocation to Mesos allows the system to provide latency and resource guarantees to frameworks. Mesos, which uses dominant resource fairness to offers of new resources, was designed initially for primarly MapReduce-like and found to provide weak guarantees with more general workloads. This project resolved this issue by allowing frameworks to explicitely state...

This paper outlines the creation of the Polar dataset within the TREC-Dynamic Domain track. The techniques used to create the Polar dataset fall into two basic categories: information extraction using Apache Tika and information retrieval using Apache Nutch. Frist, we expanded the parsing capabilities of Apache Tika, an open source framework for text and metadata extraction, to provide more sea...

BACKGROUND The predictive accuracy of scores on the Acute Physiology and Chronic Health Evaluation II (APACHE II) for in-hospital mortality among critically ill cancer patients varies. OBJECTIVE To evaluate the predictive accuracy of APACHE II scores for severity of illness in critically ill cancer patients and to find clinical indicators to improve the accuracy. METHODS Actual hospital mor...

OBJECTIVE To predict the mortality by the mean Acute Physiology and Chronic Health Evaluation (APACHE) IV score of all the patients admitted in a Surgical Intensive Care Unit (ICU) and comparing the score of the survivors and non-survivors. STUDY DESIGN Descriptive study. PLACE AND DURATION OF STUDY Surgical Intensive Care Unit, Mayo Hospital, Lahore, from June 2013 to November 2014. METH...