Sanjaya Kumar Panda

ORCID: 0000-0003-3242-525X
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About
Contact & Profiles
Research Areas
  • Cloud Computing and Resource Management
  • IoT and Edge/Fog Computing
  • Distributed and Parallel Computing Systems
  • Caching and Content Delivery
  • Vehicular Ad Hoc Networks (VANETs)
  • Parallel Computing and Optimization Techniques
  • Recommender Systems and Techniques
  • Blockchain Technology Applications and Security
  • Context-Aware Activity Recognition Systems
  • Water Quality Monitoring Technologies
  • Smart Agriculture and AI
  • Transportation and Mobility Innovations
  • Digital Marketing and Social Media
  • Mobile Ad Hoc Networks
  • Network Security and Intrusion Detection
  • Opportunistic and Delay-Tolerant Networks
  • Energy Efficient Wireless Sensor Networks
  • Software-Defined Networks and 5G
  • Distributed systems and fault tolerance
  • Sentiment Analysis and Opinion Mining
  • Green IT and Sustainability
  • Age of Information Optimization
  • Multi-Criteria Decision Making
  • Neural Networks and Applications
  • Advanced Data Storage Technologies

National Institute of Technology Warangal
2020-2024

Veer Surendra Sai University of Technology
2015-2022

University of Technology
2022

Australian Regenerative Medicine Institute
2022

Monash University
2022

GIET University
2021

Indian Institute of Information Technology Allahabad
2019

Indian Institute of Information Technology Design and Manufacturing, Kurnool
2019

Indian Institute of Technology Dhanbad
2014-2018

University of Wollongong
2018

Cloud Computing has become a popular computing paradigm which gained enormous attention in delivering on-demand services. Task scheduling cloud is an important issue that been well researched and many algorithms have developed for the same. However, goal of most these to minimize overall completion time (i.e., makespan) without looking into minimization cost service (referred as budget). Moreover, them are applicable single-cloud environment. In this paper, we propose multi-objective task...

10.1109/edcav.2015.7060544 article EN 2015-01-01

Recommendation System (RS) has been broadly utilized in various areas and discovers product recommendations during an active user interaction E-Commerce sites. Tremendous growth of users products recent years faced some key challenges. There are numerous online sites that present many decisions to the at once, which is strenuous. Moreover, finding or right important task RS. Existing works have proposed recommend a by considering inclination socio-demographic behaviour. In this paper, we...

10.1109/access.2020.2994056 article EN cc-by IEEE Access 2020-01-01

In the traditional irrigation process, a huge amount of water consumption is required which leads to wastage. To reduce wasting for this tedious task, an intelligent system urgently needed. The era machine learning (ML) and Internet Things (IoT) brings it great advantage building that performs task automatically with minimal human effort. study, IoT enabled ML-trained recommendation proposed efficient usage nominal intervention farmers. devices are deployed in crop field precisely collect...

10.7717/peerj-cs.578 article EN cc-by PeerJ Computer Science 2021-06-21

In the cloud computing environment, scheduling algorithms show vital role of finding a possible schedule tasks. Extant literatures have shown that task problem is NP-Complete as objective to obtain minimum overall execution time. this paper, we address set l tasks with |G| groups m clouds, such layover time minimized. Note sum timing gaps between paired Here, present pair-based algorithm for which based on well-known optimization algorithm, called Hungarian algorithm. The proposed considers...

10.1016/j.jksuci.2018.10.001 article EN cc-by-nc-nd Journal of King Saud University - Computer and Information Sciences 2018-10-03

10.1007/s12652-020-01711-x article EN Journal of Ambient Intelligence and Humanized Computing 2020-01-20

Cloud computing is one of the growing technology usage for day-to-day business operations in today's IT industry. The diverse features cloud such as on-demand self-service, quality service, pay-per-usage pricing, virtualization and elasticity make more popular industries well research communities. However, mapping resources forms virtual machines (VMs) to fulfill customer requests very challenging a well-known NP-Complete problem. In this paper, we propose an allocation-aware task scheduling...

10.1016/j.procs.2015.04.081 article EN Procedia Computer Science 2015-01-01

Fire is the most widespread cause of death by accident. affects thousand residents each year, resulting in injury and loss life. In this paper, an Internet Things (IoT) based Detection System (FireDS-IoT) designed to prevent people from fire providing alert message emergency. The system using MQ-135 (CO_2), MQ-2 (smog), MQ-7 (CO) DHT-11 (temperature) sensors embedded with Arduino get event information surrounding more accurately. This research distinguishes conditions a as fire, no may be...

10.1109/icit.2018.00042 article EN 2018-12-01

In recent years, vehicular cloud computing (VCC) has gained vast attention for providing a variety of services by creating virtual machines (VMs). These VMs use the resources that are present in modern smart vehicles. Many studies reported some these hosted on vehicles overloaded, whereas others underloaded. As circumstance, energy consumption overloaded is drastically increased. On other hand, underloaded also drawing considerable underutilized situation. Therefore, minimizing both and...

10.32604/cmc.2021.015026 article EN Computers, materials & continua/Computers, materials & continua (Print) 2021-01-01

Round Robin (RR) scheduling algorithm is a preemptive algorithm. It designed especially for time sharing Operating System (OS). In RR the CPU switches between processes when static Time Quantum (TQ) expires. considered as most widely used in research because TQ equally shared among processes. this paper newly proposed variant of called Min-Max (MMRR) presented. The idea MMRR to make repeatedly adjusted using dispersion measure accordance with remaining burst time. Our experimental analysis...

10.48550/arxiv.1404.5869 preprint EN other-oa arXiv (Cornell University) 2014-01-01

Cloud Computing has been adopted as one of the growing technologies in business and research community. However, due to significant client demands, there is a need overflow some workloads other data centers no center unlimited resources. The workload sharing provides even more flexible cheaper resources complete applications submitted centers. scheduling multi-cloud environment challenging have which are heterogeneous nature. In this paper, we propose task algorithm environment. based on two...

10.1109/icacci.2014.6968253 article EN 2014-09-01

Summary This paper presents the design of two‐degree‐of‐freedom state feedback controller (2DOFSFC) for automatic generation control problem. A recently developed new metaheuristic algorithm called whale optimization is employed to optimize parameters 2DOFSFC. The proposed 2DOFSFC analyzed a two‐area interconnected thermal power system including governor dead band nonlinearity and further extended multiunit hydrothermal system. supremacy established comparing with proportional‐integral,...

10.1002/oca.2462 article EN Optimal Control Applications and Methods 2018-09-04
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