J ABDUL RASHEEDH
@thenewcollege.edu.in
ASSISTANT PROFESSOR, COMPUTER SCIENCE
P.G. Department of Computer Science, The New College, Chennai, Tamil Nadu, India
Mr. J ABDUL RASHEEDH carrying his PhD Research in the specific area of Microservices on Cloud Computing under the guidance of most respected , Assistant Professor, Department of Computer Science, VISTAS, Chennai .He is actively involved in research to develop a framework and to avoid downtime in cloud by using Agile methodology . He is also currently working as an Assistant Professor in the Department of Computer Science, The New College (Autonomous), Chennai-14 from 2008-Till date.
EDUCATION
Ph.D., Computer Science - 2023 VELS UNIVERSITY, PALAVARAM,CHENNAI, TAMILNADU, INDIA
M.Phil., Computer Science - 2012 PRIST UNIVERSITY, THANJAVUR,TAMILNADU,INDIA
M.C.A ., Computer Application - 2004 MADRAS UNIVERSITY, CHENNAI,TAMILNADU,INDIA
B.Sc., Computer Science - 2001 VELS UNIVERSITY, CHENNAI,TAMILNADU,INDIA
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Science
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
J.Abdul Rasheedh, G.Najeeb Ahmed, S Hassan Abdul Cader, and K Nirmala
IEEE
Microservices architecture, composed of independently deployable services, has gained prominence in the IT industry. However, designing and implementing effective microservice-based systems presents significant challenges. This research focuses on optimizing microservices architecture by integrating BPMN orchestration and agile methodologies. A workflow engine based on Business Process Model and Notation (BPMN) is proposed to coordinate microservice interactions within an agile transformation context. This centralized control mechanism enhances monitoring, error handling, and system administration. The study evaluates the impact of BPMN orchestration on microservice efficiency and scalability. Results demonstrate that the proposed approach improves time-to-market, fault tolerance, and overall system performance. By combining advanced orchestration systems with agile processes, this research provides a framework for optimizing microservices development and deployment. The proposed BPMN orchestration approach offers a resilient and adaptable solution for building robust and scalable software systems.
Syed Jamalullah R, L. Mary Gladence, G Bharanidharan, and J Abdul Rasheedh
IEEE
Advancements in electroencephalogram (EEG) data processing have enabled the consistent monitoring of the human brain, playing a crucial role in the early detection and prevention of potential health issues. This study analyzes EEG data to identify abnormal signals, particularly those related to Bradykinesia, a neurological disorder associated with an increased risk of Parkinson's disease. Previous research has utilized neural networks, clinical features, and computational methodologies for signal classification. This research proposes using the Parks McClellan best approach and filter order estimation across various frequency bands to extract meaningful characteristics from EEG data. Additionally, the Power Spectral Density (PSD) approach, Fast Fourier Transform (FFT) method, and periodogram are employed to differentiate amplitude bandwidths. The non-linear vector technique enhances classification accuracy through the Peak Signal-to-Noise Ratio (PSNR). The study also explores the evaluation of consistency quotient using mean-square and mean-absolute error methodologies. By calculating the cross-correlation average of bandwidths, the classification accuracy of the Bradykinesia assessment is improved. The research findings, supported by simulated computations and MATLAB algorithmic implementations, validate the effectiveness of the proposed methods. This research contributes to the ongoing efforts in EEG data analysis, enhancing the early detection and intervention of brain health issues.
Mr. J. Abdul Rasheedh and Dr. Saradha S.
ENGG Journals Publications
Microservices is a notion that claims to enable the creation of large, complicated systems that must operate in an unpredictable environment. Microservices should therefore promote resiliency. This paper provides possible solutions on fault tolerant of microservices and solve the problem of frequent shutdown or restart of services through advance research on hybrid design patterns based on Agile – Iterative and Incremental approach through a process called dynamic fusion. Fusion of objects Microservices during runtime will ensure that there is no need for system restart. Though currently there are many techniques to achieve binding, still it is widely found that the microservice needs to be restarted whenever there is a new increment or iteration. This area of research is to find out all possible and feasible options of dynamic binding via a deep study on object-oriented analysis and design techniques which comes out with various possible technical solutions. This study is based on "SOLID" software design concepts in general and how they are applied to microservices difficulties specifically to dynamic fusion of atomic microservices in a complex microservices architecture on cloud. This research work would pave a way for the future programmers to understand how to achieve dynamic binding in the real dynamic fashion as per the principles of agile approach.
J Abdul Rasheedh and S. Saradha
IEEE
In Cloud Computing, microservices have been recently introduced for enabling the development of large-scale structures, which are scalable, agile and especially suitable for meeting the emerging demands. The asynchronous communication has facilitated using reactive system which managed in interaction challenges and even variation of load in modern systems. There are certain features of microservices like elasticity and resilience have considered for messages can be progressed through Reactive Microservices (RM) which consists of segregated components over event stream that can able to perform individually or shown with various microservices for reaching the event at final stages. The reactive principle in microservices have involved for individual possibility in every microservice components reference architecture include the components of microservices, which have the ability to develop, release, organize, scale, upgrade and retired individually. It has infused the necessary redundancy into the network for avoiding failure cascading, which maintains the system reactive in case of any failure. This paper has explored the RM architecture application and provides insights by assisting in reducing the developing demand to create resilient and scalable systems. The basic use case of microservice framework implementation has been illustrated by Vert.x, which act as the general toolkit to create RM and also the performance of both reactive and nonreactive implementation are compared as an alternate. The performance comparison can reveal how RM performs better than non-reactive microservices.
J. Abdul Rasheedh and S. Saradha
IEEE
The Service Oriented Architecture (SOA) is developed as a pattern to distributed computing, enterprise integration and process of e-business in the early decade of 2000. The sudden increase of SOA and web services are subjected to the hype and virtual in which each organization has tried for adopting them with no matter in their indeed appropriateness. There are several SOA adopted by the user which may lead to massive fail on various attempts that tried for modifying the issues to solutions fit. At present, the microservices act as a recent technique for accomplishing a similar goal established to SOA a decade ago. However, the microservice has described a specific design concept in software application as an independent set, modularity, obtaining dynamism, and heterogeneous system integration and distribution development. Therefore, the microservices have provided applications with agility and scalability. This study of literature has discovered such challenges by an evolutionary concept from the SOA early years to microservices. This paper has also discussed various models for a run time of dynamic official, web association, a slight extension of association plan and AI technique are considered as a view at issues.