Open Access
·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to:
• Information Sciences
• Optimization Sciences
• Control Theory
• Operational Research
• Decision Sciences
• Information Theory
• Information Technology
• Computer Networks and Communications
• Mathematical Programming
• Modelling and Simulation
• Database Management
• Applications to Engineering Sciences
• Applications to Technology
Issues up to 2022 co-published with and available at:
Developing a model for energy-efficient data storage in cloud-based database management systems
Jyoti M. Shindejyotimanishshinde@gmail.comDepartment of Computer Engineering Dr. D. Y. Patil Institute of Technology PimpriPune, Maharashtra, 411018, IndiaView full profile →
, *Pradnya BorkarCorresponding authorpradnyaborkar2@gmail.comDepartment of Computer Science and Engineering Symbiosis Institute of Technology Nagpur Campus Symbiosis International (Deemed University)Department of Computer Science and Engineering Symbiosis Institute of Technology Nagpur Campus Symbiosis International (Deemed University)Pune, Maharashtra, 440027, IndiaView full profile →
, Sandhya Damodar Pandaosandhya.pandao@vit.eduDepartment of Artificial Intelligence and Data Science Vishwakarma Institute of TechnologyPune, Maharashtra, 411037, IndiaView full profile →
, V. Dhanalakshmidhanalakshmiv@maher.ac.inDepartment of Computer Science Meenakshi College of Arts and Science Meenakshi Academy of Higher Education and ResearchChennai, Tamil Nadu, 600078, IndiaView full profile →
, Amit Gauravcoe@niu.edu.inSchool of Engineering & Technology Noida International UniversityDepartment of School of Engineering & Technology Noida International UniversityGreater Noida, Uttar Pradesh, 203201, IndiaView full profile →
* Corresponding author · click or hover a name for details
The huge growth of digital data has made cloud-based database management systems (DBMS) face serious problems, especially when it comes to speed, scalability, and energy use. Traditional ways of keeping things are based on speed and quantity, not on how long they will last. There is a model in this work that combines dynamic compression, smart resource sharing, and faster query processing. Using mathematical formulas turns energy use into an optimization problem, it accurately weigh the pros and cons of different options. Experiments study show that energy savings are always between 32.8% and 34.2%, even when different tasks are used.
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