Improved Butterfly Optimization Algorithm for Data Placement and Scheduling in Edge Computing Environments
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Title
Improved Butterfly Optimization Algorithm for Data Placement and Scheduling in Edge Computing Environments
Authors
Keywords
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Journal
Journal of Grid Computing
Volume 19, Issue 2, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-03-23
DOI
10.1007/s10723-021-09556-0
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- (2020) Jiwei Huang et al. Peer-to-Peer Networking and Applications
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- (2020) Mohammad Masdari et al. COMPUTING
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- (2020) Jin Sun et al. JOURNAL OF SYSTEMS ARCHITECTURE
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- A survey on the computation offloading approaches in mobile edge computing: A machine learning-based perspective
- (2020) Ali Shakarami et al. Computer Networks
- Cost-effective replication management and scheduling in edge computing
- (2019) Yanling Shao et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Evolutionary Algorithms to Optimize Task Scheduling Problem for the IoT Based Bag-of-Tasks Application in Cloud–Fog Computing Environment
- (2019) Binh Minh Nguyen et al. Applied Sciences-Basel
- A Time-Driven Data Placement Strategy for a Scientific Workflow Combining Edge Computing and Cloud Computing
- (2019) Bing Lin et al. IEEE Transactions on Industrial Informatics
- CDABC: chaotic discrete artificial bee colony algorithm for multi-level clustering in large-scale WSNs
- (2019) Mohammad Masdari et al. JOURNAL OF SUPERCOMPUTING
- m-MBOA: a novel butterfly optimization algorithm enhanced with mutualism scheme
- (2019) Sushmita Sharma et al. SOFT COMPUTING
- Mobile Edge Computing-Enabled Internet of Vehicles: Toward Energy-Efficient Scheduling
- (2019) Zhaolong Ning et al. IEEE NETWORK
- An Improved Butterfly Optimization Algorithm for Engineering Design Problems Using the Cross-Entropy Method
- (2019) Guocheng Li et al. Symmetry-Basel
- User mobility aware task assignment for Mobile Edge Computing
- (2018) Zi Wang et al. Future Generation Computer Systems-The International Journal of eScience
- NoCloud: Exploring Network Disconnection through On-Device Data Analysis
- (2018) Reza Rawassizadeh et al. IEEE PERVASIVE COMPUTING
- Fog Computing for Energy-aware Load Balancing and Scheduling in Smart Factory
- (2018) Jiafu Wan et al. IEEE Transactions on Industrial Informatics
- Tasks Scheduling and Resource Allocation in Fog Computing Based on Containers for Smart Manufacture
- (2018) Luxiu Yin et al. IEEE Transactions on Industrial Informatics
- A modified butterfly optimization algorithm for mechanical design optimization problems
- (2018) Sankalap Arora et al. Journal of the Brazilian Society of Mechanical Sciences and Engineering
- Pattern-Identified Online Task Scheduling in Multitier Edge Computing for Industrial IoT Services
- (2018) Nhu-Ngoc Dao et al. Mobile Information Systems
- Butterfly optimization algorithm: a novel approach for global optimization
- (2018) Sankalap Arora et al. SOFT COMPUTING
- A Survey on the Edge Computing for the Internet of Things
- (2018) Wei Yu et al. IEEE Access
- A data replica placement strategy for IoT workflows in collaborative edge and cloud environments
- (2018) Yanling Shao et al. Computer Networks
- Joint optimization of data placement and scheduling for improving user experience in edge computing
- (2018) Chunlin Li et al. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
- Task Scheduling in Deadline-Aware Mobile Edge Computing Systems
- (2018) Tongxin Zhu et al. IEEE Internet of Things Journal
- An improved butterfly optimization algorithm with chaos
- (2017) Sankalap Arora et al. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- Survey on fog computing: architecture, key technologies, applications and open issues
- (2017) Pengfei Hu et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- An Overhead-Optimizing Task Scheduling Strategy for Ad-hoc Based Mobile Edge Computing
- (2017) Li Tianze et al. IEEE Access
- Towards workflow scheduling in cloud computing: A comprehensive analysis
- (2016) Mohammad Masdari et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- A Survey of PSO-Based Scheduling Algorithms in Cloud Computing
- (2016) Mohammad Masdari et al. Journal of Network and Systems Management
- A survey and taxonomy of DoS attacks in cloud computing
- (2016) Mohammad Masdari et al. Security and Communication Networks
- Internet of Things
- (2015) Felix Wortmann et al. Business & Information Systems Engineering
- An Energy-Efficient Task Scheduling Algorithm in DVFS-enabled Cloud Environment
- (2015) Zhuo Tang et al. Journal of Grid Computing
- Finding your Way in the Fog
- (2014) Luis M. Vaquero et al. ACM SIGCOMM Computer Communication Review
- Internet of Things for Smart Cities
- (2014) Andrea Zanella et al. IEEE Internet of Things Journal
- Pseudo-random number generator based on mixing of three chaotic maps
- (2013) M. François et al. Communications in Nonlinear Science and Numerical Simulation
- A green energy-efficient scheduling algorithm using the DVFS technique for cloud datacenters
- (2013) Chia-Ming Wu et al. Future Generation Computer Systems-The International Journal of eScience
- Analysis of Secure LEACH-Based Clustering Protocols in Wireless Sensor Networks
- (2013) Mohammad Masdari et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- The Internet of Things: A survey
- (2010) Luigi Atzori et al. Computer Networks
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