In a significant advancement for cloud computing technologies, Dr Kakumani K C Deepthi and Dr Prasanthi Boyapati, Assistant Professors in the Department of Computer Science and Engineering, alongside B Tech student Ms Yarra Khyathisree, have successfully filed and published a patent titled “SYSTEM AND METHOD FOR AUTOMATIC LOAD BALANCING FOR BANK OF CLOUD SERVERS.” The patent, registered with Application Number 202441057273, was officially published in the Patent Office Journal.
As cloud computing continues to expand, effective load balancing has become critical for optimizing distributed environments. Load balancing is essential for distributing data and services across a scalable network of nodes, ensuring that no single node becomes overwhelmed. This is particularly important as data storage needs in cloud environments grow exponentially.
The newly patented system aims to enhance load balancing and job scheduling, addressing the increasing demand for efficient services. The article highlights various notification algorithms designed to improve these processes, comparing the latest methods to boost performance and user satisfaction.
This innovation marks a promising step forward in cloud computing technology, paving the way for more robust and efficient systems to meet the evolving needs of users and organizations alike.
Abstract of the Research
Load balancing is crucial for the efficient operation of distributed environments, especially with the rapid growth of cloud computing and increasing customer demands for more services and positive outcomes. Cloud load balancing involves transparently sharing data and delivering services through a scalable network of nodes. Due to the open and distributed nature of cloud computing, the amount of data storage grows rapidly, making load balancing a critical issue. Managing load information in such a vast system is costly. A major challenge in cloud computing is distributing dynamic workloads across multiple nodes to prevent any single node from becoming overwhelmed. Numerous algorithms have been proposed to effectively allocate customer requests to available cloud nodes. These methods aim to enhance the overall performance of the cloud and provide users with more satisfying and efficient services. This article reviews various notification algorithms to address cloud computing load balancing and job scheduling issues, comparing the latest methods in the field.
Practical Implementation or the Social Implications Associated with the Research
In this patent, the common load-balancing algorithms in cloud computing include:
• Round Robin
• Least Connection
• Randomized
• Load Balancing Challenges in Cloud Computing
• Automated Service Provisioning
• Virtual Machine Migration
• Energy Management
• Stored Data Management
Future Research Plans
To implement automatic load balancing for not only banks but also some other applications where cloud servers can be designed by ensuring optimal resource utilization, performance, and reliability.