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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
SDDC: A Software Defined Datacenter Experimental Framework
TL;DR: A novel experimental framework (SDDC) is introduced to provide a novel virtualized testbed environment for SDD systems and lets the users develop and test their own SDD solutions, and at the same time gives the researchers an experimentation tool for benchmarking purposes.
Journal ArticleDOI
Intelligent jamming-aware routing in multi-hop IoT-based opportunistic cognitive radio networks
Haythem Bany Salameh,Haythem Bany Salameh,Safa Otoum,Moayad Aloqaily,Rawan Derbas,Ismaeel Al Ridhawi,Yaser Jararweh +6 more
TL;DR: A security-aware routing protocol that considers jamming attacks which interrupt cognitive radio transmissions, and assigns the most secure channel for each hop within an IoT source-destination pair in accordance to an optimization problem is introduced.
Journal ArticleDOI
Software-Defined System Support for Enabling Ubiquitous Mobile Edge Computing
Yaser Jararweh,Mohammad A. Alsmirat,Mahmoud Al-Ayyoub,Elhadj Benkhelifa,Ala' Darabseh,Brij B. Gupta,Ahmad Doulat +6 more
Proceedings ArticleDOI
Cross-Lingual Short-Text Document Classification for Facebook Comments
TL;DR: This work considers two languages, Arabic and English, and compares the performance of some of the most popular document classifiers on two datasets of short Facebook comments.
Journal ArticleDOI
Improving the performance of the needleman-wunsch algorithm using parallelization and vectorization techniques
TL;DR: Three sets of parallel implementations of the Needleman-Wunsch algorithm are presented using a mixture of specialized software and hardware solutions: POSIX Threads-based, SIMD Extensions-based and a GPU-based implementations.