Multi-Objective Optimization for Cost Effective IoMT task scheduling in Fog-Cloud Systems Using Blockchain Technology

Abstract

The arrival of IoMT (Internet of Medical Things) has changed the health care services available these days by providing real time monitoring and data collection. But, in fog-cloud systems, the secure and efficient scheduling of tasks is a bit complicated. This interconnected network of medical devices provides continuous and accurate health information, which is invaluable for early diagnosis, personalized treatment, and efficient health management. In spite of these advancements, the integration of IoMT within fog-cloud computing systems introduces difficulties in ensuring the secure and efficient scheduling of tasks. Fog computing extends cloud capabilities to the edge of the network, closer to the data source, offers several benefits such as reduced latency and improved response times. However, managing the seamless operation of IoMT tasks in such a distributed environment poses significant challenges. Ensuring that the data is processed promptly, securely, and in a cost-effective way requires sophisticated scheduling mechanisms. These mechanisms must address multiple objectives, including optimizing resource utilization, reducing costs, and enhancing security, particularly given the sensitive nature of healthcare data. Moreover, the task scheduling needs to be adaptive to dynamic changes in the system and varying workloads, all while maintaining high standards of data integrity and confidentiality. The complexity is further compounded by the necessity to integrate blockchain technology to provide secure, transparent, and immutable records of all transactions and data exchanges within the system.

Specification

Description:Blockchain technology, being a decentralized ledger, ensures secure task transactions and communication in healthcare by recording all actions immutably and transparently. This technology is essential for maintaining data integrity, security, and real-time processing. In Fog-Cloud IoMT scheduling, blockchain offers enhanced security, improved transparency and trust, and efficient resource allocation, leading to cost optimization.
A Blockchain-Enabled Multi-Objective Optimization Framework is introduced to optimize security, cost, and task execution delays in the IoMT system. This framework leverages blockchain's immutability and security features while minimizing scheduling costs and delays through multi-objective optimization.
Each task request is recorded on blockchain to ensure secure data transfer between IoMT devices, fog nodes and cloud servers and helps in preventing unauthorized access. In our framework, blockchain technology is used to secure task requests and ensure the immutability of task execution records. Each task transaction, consisting of a task identifier, device signature, and execution details, is added to the blockchain. This decentralized ledger prevents tampering or unauthorized access to sensitive medical data.

, Claims:1. Enhanced Security and Data Integrity: The use of blockchain technology ensures that all task transactions, data transfers, and scheduling requests are recorded immutably and transparently, preventing unauthorized changes and enhancing data security.
2. Improved Transparency and Trust: Blockchain's decentralized ledger provides a transparent and trustworthy system for managing IoMT tasks, fostering trust among stakeholders.
3. Efficient Resource Allocation and Cost Optimization: The multi-objective optimization framework optimizes the allocation of resources, minimizing scheduling costs and delays, and improving overall system efficiency.
4. Real-Time Processing: The system supports real-time processing of medical data, which is crucial for timely diagnosis and treatment in healthcare settings.
5. Scalability and Flexibility: The framework is designed to be scalable and flexible, adapting to varying workloads and dynamic changes in the healthcare environment.

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