An Improved Scheduling Strategy in Cloud Computing Using Fuzzy Logic
Title | An Improved Scheduling Strategy in Cloud Computing Using Fuzzy Logic |
Publication Type | Conference Paper |
Year of Publication | 2016 |
Authors | Ragmani, Awatif, El Omri, Amina, Abghour, Noreddine, Moussaid, Khalid, Rida, Mohammed |
Conference Name | Proceedings of the International Conference on Big Data and Advanced Wireless Technologies |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-4779-2 |
Keywords | cloud computing, cyber physical systems, Fuzzy logic, key performance indicators, load balancing, Metrics, Processing time, pubcrawl, Resiliency, response time, scheduling |
Abstract | Within few years, Cloud computing has emerged as the most promising IT business model. Thanks to its various technical and financial advantages, Cloud computing continues to convince every day new users coming from scientific and industrial sectors. To satisfy the various users' requirements, Cloud providers must maximize the performance of their IT resources to ensure the best service at the lowest cost. The performance optimization efforts in the Cloud can be achieved at different levels and aspects. In the present paper, we propose to introduce a fuzzy logic process in scheduling strategy for public Cloud in order to improve the response time, processing time and total cost. In fact, fuzzy logic has proven his ability to solve the problem of optimization in several fields such as data mining, image processing, networking and much more. |
URL | http://doi.acm.org/10.1145/3010089.3010107 |
DOI | 10.1145/3010089.3010107 |
Citation Key | ragmani_improved_2016 |