@inproceedings{scholars4242, journal = {2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings}, year = {2014}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, note = {cited By 0; Conference of 2014 International Conference on Computer and Information Sciences, ICCOINS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:112912}, title = {A semi greedy soft real-time multiprocessor scheduling algorithm}, doi = {10.1109/ICCOINS.2014.6868397}, isbn = {9781479943913}, author = {Alhussian, H. and Zakaria, N. and Hussin, F. A. and Bahbouh, H. T.}, keywords = {Interactive computer systems; Multiprocessing systems; Quality of service; Response time (computer systems), Earliest deadline first; Multi processor scheduling; Multiprocessor scheduling algorithms; Real-time tasks; Schedulability; Soft real time; Soft real-time systems; Uniprocessors, Real time systems}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938792258&doi=10.1109\%2fICCOINS.2014.6868397&partnerID=40&md5=e5043cab152cb910af9f840d8e13f81a}, abstract = {Soft real-time systems are systems that can tolerate deadline misses but at the expense of degradation in quality of service. Many of the Scheduling algorithms used to schedule real-time tasks in a multiprocessor soft real-time systems are extended from their uniprocessor counterparts such as Global Earliest Deadline First (G-EDF) and Least Laxity First (LLF). However such algorithms when extended to real-time multiprocessor scheduling achieve low schedulability rates. In this paper, we present an efficient real-time multiprocessor scheduling algorithm that achieves high schedulability rates compared to currently existing algorithms. Unlike the current algorithms which are known to be greedy, our proposed algorithm uses a semi-greedy criteria to schedule tasks. The simulation showed that the proposed algorithm misses few deadlines as well as achieves high schedulability rates compared to currently existing algorithms. {\^A}{\copyright} 2014 IEEE.} }