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Yaser Jararweh

Researcher at Jordan University of Science and Technology

Publications -  324
Citations -  8851

Yaser Jararweh is an academic researcher from Jordan University of Science and Technology. The author has contributed to research in topics: Cloud computing & Computer science. The author has an hindex of 44, co-authored 297 publications receiving 6045 citations. Previous affiliations of Yaser Jararweh include University of Arizona & Pennsylvania State University.

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Proceedings ArticleDOI

Accelerated discovery through integration of Kepler with data turbine for ecosystem research

TL;DR: This paper shows how to integrate Kepler with RBNB Data Turbine to achieve simultaneous reads and writes and exploits the open-source features of Kepler system and create customized processing models in order to accelerate and automate the experiments in ecosystems research.
Proceedings ArticleDOI

SCIP: Selective cache insertion and bypassing to improve the performance of last-level caches

TL;DR: This paper presents a simple, low-hardware overhead, yet effective, cache bypassing algorithm that dynamically chooses which blocks to insert into the LLC and which to bypass it following a miss based on past access/bypass patterns.
Journal ArticleDOI

Framework for Affective News Analysis of Arabic News: 2014 Gaza Attacks Case Study

TL;DR: A benchmark annotated Arabic dataset of news for affective news analysis, an aspect-based sentiment analysis (ABSA) approach for evaluating the sentimental affect of Arabic news posts on the reader, and a baseline approach with a common evaluation framework to compare future research results with the baseline ones are provided.
Journal ArticleDOI

Software Defined Cognitive Radio Network Framework: Design and Evaluation

TL;DR: A virtualization based SDN resource management framework for cognitive radio networks CRNs that uses the concept of multilayer hypervisors for efficient resources allocation and introduces a semi-decentralized control scheme that allows the CRN Base Station BS to delegate some of the management responsibilities to the network users.
Proceedings ArticleDOI

A Brief Analysis of Amazon Online Reviews

TL;DR: This study provides a comprehensive statistical analysis of a previously-published dataset containing Amazon reviews and insists on the importance of using user votes as an important source of information for new users.