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Efficient LiDAR-trajectory affinity model for autonomous vehicle orchestration. (2023)
Journal Article
MEKALA, M.S., DHIMAN, G., VIRIYASITAVAT, W., PARK, J.H. and JUNG, H.-Y. 2023. Efficient LiDAR-trajectory affinity model for autonomous vehicle orchestration. IEEE transactions on intelligent transportation systems [online], Early Access. Available from: https://doi.org/10.1109/TITS.2023.3242900

Computation and memory resource management strategies are the backbone of continuous object tracking in intelligent vehicle orchestration. Multi-object tracking generates enormous measurements of targets and extended object positions using light dete... Read More about Efficient LiDAR-trajectory affinity model for autonomous vehicle orchestration..

An effective communication and computation model based on a hybridgraph-deeplearning approach for SIoT. (2022)
Journal Article
MEKALA, M.S., SRIVASTAVA, G., PARK, J.H. and JUNG, H.-Y. 2022. An effective communication and computation model based on a hybridgraph-deeplearning approach for SIoT. Digital communications and networks [online], 8(6), pages 900-910. Available from: https://doi.org/10.1016/j.dcan.2022.07.004

Social Edge Service (SES) is an emerging mechanism in the Social Internet of Things (SIoT) orchestration for effective user-centric reliable communication and computation. The services are affected by active and/or passive attacks such as replay atta... Read More about An effective communication and computation model based on a hybridgraph-deeplearning approach for SIoT..

A DRL-based service offloading approach using DAG for edge computational orchestration. (2022)
Journal Article
MEKALA, M.S., DHIMAN, G., SRIVASTAV, G., NAIN, Z., ZHANG, H., VIRIYASITAVAT, W. and VARMA, G.P.S. 2022. A DRL-based service offloading approach using DAG for edge computational orchestration. IEEE transactions on computational social systems [online], Early Access. Available from: https://doi.org/10.1109/tcss.2022.3161627

Edge infrastructure and Industry 4.0 required services are offered by edge-servers (ESs) with different computation capabilities to run social application's workload based on a leased-price method. The usage of Social Internet of Things (SIoT) applic... Read More about A DRL-based service offloading approach using DAG for edge computational orchestration..

DAWM: cost-aware asset claim analysis approach on big data analytic computation model for cloud data centre. (2021)
Journal Article
MEKALA, M.S., PATAN, R., ISLAM, S.H., SAMANTA, D., MALLAH, G.A. and CHAUDHRY, S.A. 2021. DAWM: cost-aware asset claim analysis approach on big data analytic computation model for cloud data centre. Security and communication networks [online], 2021: security, trust and privacy for cloud, fog and Internet of Things, article ID 6688162. Available from: https://doi.org/10.1155/2021/6688162

The heterogeneous resource-required application tasks increase the cloud service provider (CSP) energy cost and revenue by providing demand resources. Enhancing CSP profit and preserving energy cost is a challenging task. Most of the existing approac... Read More about DAWM: cost-aware asset claim analysis approach on big data analytic computation model for cloud data centre..

Computational intelligent sensor-rank consolidation approach for Industrial Internet of Things (IIoT). (2021)
Journal Article
MEKALA, M.S., RIZWAN, P. and KHAN, M.S. 2023. Computational intelligent sensor-rank consolidation approach for Industrial Internet of Things (IIoT). IEEE Internet of Things journal [online], 10(3), pages 2121-2130. Available from: https://doi.org/10.1109/JIOT.2021.3073600

Continues field monitoring and searching sensor data remains an imminent element emphasizes the influence of the Internet of Things (IoT). Most of the existing systems are concede spatial coordinates or semantic keywords to retrieve the entail data,... Read More about Computational intelligent sensor-rank consolidation approach for Industrial Internet of Things (IIoT)..

Resource offload consolidation based on deep-reinforcement learning approach in cyber-physical systems. (2020)
Journal Article
MEKALA, M.S., JOLFAEI, A., SRIVASTAVA, G., ZHENG, X., ANVARI-MOGHADDAM, A. and VISWANATHAN, P. 2022. Resource offload consolidation based on deep-reinforcement learning approach in cyber-physical systems. IEEE transactions on emerging topics in computational intelligence [online], 6(2), pages 245-254. Available from: https://doi.org/10.1109/tetci.2020.3044082

In cyber-physical systems, it is advantageous to leverage cloud with edge resources to distribute the workload for processing and computing user data at the point of generation. Services offered by cloud are not flexible enough against variations in... Read More about Resource offload consolidation based on deep-reinforcement learning approach in cyber-physical systems..

Efficient task optimization algorithm for green computing in cloud. (2020)
Journal Article
G, T., CH, D.C., VARMA, G.P.S. and MEKALA, M.S. 2023. Efficient task optimization algorithm for green computing in cloud. Internet technology letters [online] 6(1): ubiquitous clouds and social Internet of Things, article e254. Available from: https://doi.org/10.1002/itl2.254

Cloud infrastructure assets are accessed by all hooked heterogeneous network servers and applications to maintain entail reliability towards global subscribers with high performance and low cost is a tedious challenging task. Most of the extant techn... Read More about Efficient task optimization algorithm for green computing in cloud..