SRM University AP-Andhra Pradesh has collaborated with the Indian Institute of Remote Sensing (IIRS) -Indian Space Research Organization (ISRO)’s outreach programme. SRM AP is included among the top-notch universities of India that can benefit from the incomparable Outreach Programme. As part of the association, the students of SRM AP will have the excellent opportunity to register for annual courses as well as live and interactive programmes being organized by IIRS. In addition, E-learning courses for a short span of 3-4 Month duration will be accessible by the students.

Please view the annual course calendar 2020 here


ISRO is among the best-performing government organizations in India which has mastered the sophisticated space technologies, along with receiving applauds globally. The organization’s brilliant research and development, and applications for societal benefits like tele-education, telemedicine, disaster management, agriculture, fisheries and infrastructure development, ensures its dominance in the world. ISRO has launched the IIRS Outreach Programme to strengthen academia in terms of Space Technology & its applications through online learning platforms.

The popularity of remote sensing, geographical information system, global navigation satellite system and associated geospatial technologies in the current times require trained manpower in the domain. The students of SRM AP are encouraged to proactively avail the interactive distance learning courses and webinars that will enable the students to achieve their career goals in aerospace and geospatial technologies and make a mark globally.

Know more about Registration: https://elearning.iirs.gov.in/outreach.php

Register here: https://elearning.iirs.gov.in/Registration.php

Click here to know more about the registration procedure


For additional information or clarification, please contact programme coordinator:

Prof. Siva Sankar Yellampalli
Professor of Practice & Head of the Department,
Department of Electronics and Communication Engineering
E-mail:
sivasankar.y@srmap.edu.in
Contact No: 7760280268

Dr Om Jee Pandey Two research papers of Dr Om Jee Pandey, Assistant Professor, Department of Electronics and Communication Engineering, have been accepted in reputed IEEE Journals. The papers titled “Multiuser Full-Duplex IoT Networks with Wireless-Powered Relaying: Performance Analysis and Energy Efficiency Optimization,” and “Time Synchronized Node Localization Using Optimal H-Node Allocation in a Small World WSN” are going to be published in IEEE Transactions on Green Communications and Networking and IEEE Communications Letters, respectively. The paper “Multiuser Full-Duplex IoT Networks with Wireless-Powered Relaying: Performance Analysis and Energy Efficiency Optimization,” was pursued in collaborations with Prof. Ha H. Nguyen, Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, Canada, and Dr Mahendra K. Shukla, who is associated with Macau University of Science and Technology as a Post Doctoral Fellow.


Block diagram of the full-duplex
wireless-powered relay based on power splitting
There has been a growing interest in improving energy efficiency for next-generation Internet of Things (IoT) networks due to the increasing demand for green communications. Motivated by this demand, energy efficiency maximization has been investigated for several networks. Specifically, without considering simultaneous wireless information and power transfer networks, various works have extensively studied energy efficiency maximization for half-duplex networks and full-duplex networks. Further, by considering simultaneous wireless information and power transfer networks, several works have examined energy efficiency maximization in half-duplex networks. Moreover, energy efficiency for next-generation IoT networks with simultaneous wireless information and power transfer has also been studied by considering half-duplex transceivers. It appears that energy efficiency problems for multiuser full-duplex IoT networks have not been studied in the open literature.

Multiuser FD-IoT network with
wireless-powered TWR
Motivated by the above discussion, in this work we consider a full-duplex IoT network in which a multi-antenna access point and several single antenna IoT devices exchange information bidirectionally with the aid of a wireless-powered single-antenna relay, under generalized Nakagami-m fading channels. In particular, we consider the power splitting protocol at the full-duplex relay terminal, and each communication terminal operates in the full-duplex mode. For such a network, we first formulate the instantaneous end-to-end signal-to-interference-plus-noise ratios (SINRs) by employing maximum-ratio transmission (MRT) beamforming and maximum-ratio combining (MRC) at the access point A, as well as IoD scheduling. Then, based on the obtained SINRs, we evaluate the overall outage probability and ergodic sum-rate of the network. Furthermore, we develop an optimal power allocation to maximize the network’s EE.

Integral area for the
overall outage probability
Recently, with many technological advancements in wireless data transmission, IoT is expected to affect all aspects of our daily lives with its ever-growing and emerging applications. Traditional wireless communication networks are usually limited by the operational time of energy-constrained devices, and therefore energy consumption minimization is a crucial factor in IoT networks. Simultaneous wireless information and power transfer have emerged as a sustainable solution to the scenarios where replacing or recharging batteries is very costly, and may even be impossible. The basic idea of simultaneous wireless information and power transfer is that since radio frequency signals can carry information and energy at the same time, the received radio frequency signals can be utilized for energy harvesting to keep the energy-constrained devices operational. Existing studies adopt two different protocols, namely time switching and power switching, to implement simultaneous wireless information and power transfer receiver architecture. With these protocols, either the power or time of the received signal is split so that one part is used for information processing, and the other is used for energy harvesting.

The proposed research can play a crucial role in societal development as it can be applied in developing many state-of-the-art applications in the areas related to green healthcare systems, energy-efficient agriculture systems, green transportation, low power home automation, green manufacturing, low power smart utilities, and energy-efficient industries etc.

His other paper “Time Synchronized Node Localization Using Optimal H-Node Allocation in a Small World WSN”, DOI (identifier) 10.1109/LCOMM.2020.3008086, has been done in collaborations with Prof. Rajesh M Hegde, Department of Electrical Engineering, IIT Kanpur and Dr Mahendra K. Shukla, Post Doctoral Fellow at Macau University of Science and Technology. To know more about Dr Pandey’s work in the domain of Small-World Wireless Sensor Network, visit- https://srmap.edu.in/news/dr-om-jee-pandey-small-world-wireless-sensor-network-help-making-smart-applications-industries/.

Dr Pandey is now not only working for the commercial applications of his current research but also has devoted himself to his future projects, that include-
Full-Duplex Network Development for Green Healthcare Systems.
Energy-Efficient Cyber-Physical Systems and Internet of Things.
Development of Energy-Efficient Agriculture Systems.
Green and Intelligent Transportation over Full-Duplex Context-Aware Pervasive Systems.

Department of Electronics and Communication Engineering, SRM University-AP, Andhra Pradesh organised an insightful workshop on “Artificial Intelligence (AI) for Healthcare” in collaboration with IEEE-SRM AP Student Branch on 25th July. Prof. D. Narayana Rao, Pro-Vice-Chancellor, inaugurated the session. The workshop was divided into two sessions.
1. Technical presentation
2. Panel discussion

Dr Muralikrishna Voonna, Managing Director, Mahatma Gandhi Cancer Hospital & Research Institute, and Dr Rajiv Janardhanan, Director, Amity Institute of Public Health, Professor ACVB participated in the technical presentation. Dr Voona delivered a lecture on “Impact of AI in Clinical Healthcare” whereas Dr Rajiv Janardhanan spoke on “Sustainable Healthcare: AI-enabled platforms for Affordable and Accessible Healthcare Solutions”.

Eminent panellists such as Padma Shree Awardee Prof. Upendra Kaul, Dr Pooja Ramakant, Dr Sunil Taneja, Dr Muralikrishna Voonna, and Dr Rajiv Janardhanan interacted on “Impact of Covid-19, AI on Healthcare” during the second half of the session. Prof. Priya Ranjan, Department of ECE, SRM-AP, acted as the moderator of the session. Dr Udaya Shankar V, Assistant Professor, Department of ECE, was the coordinator of the workshop.

In his opening remarks, Prof. D. Narayana Rao asserted that healthcare in India faces significant challenges on quality, accessibility and affordability for a large section of the Indian population. Many healthcare experts are aware that in India, 70% of healthcare infrastructures are in the cities which caters only to 30% of India’s Population. “The shortage of doctors, lack of infrastructures, different mindset about the urban and rural population of the country and low government spending on the healthcare are very much motivating India towards innovative and sustainable and affordable technology to improve the quality of life,” said Prof Rao. He further mentioned that AI in Indian healthcare is expanding at a significant rate of 40% approximately. The AI-enabled health services such as automated analysis of medical tests, predictive healthcare diagnosis with the help of monitoring equipment and wearable sensor-based medical devices are expected to revolutionise medical treatment process in the country. AI is being extensively used in six healthcare segments such as hospital administration, pharmaceuticals, diagnostics, medical equipment and supplies, medical insurance and telemedicine. “Moreover, hospitals can implement patient-centric plans with the help of AI to avoid unnecessary hospital procedures and making healthcare services faster in India. The Government of India also shows its keen inclination as in the past week, the Hon’ble prime minister Sri Narendra Modi had a discussion with the CEO of IBM regarding the development of AI-enabled medical instruments for healthcare in the country. Needless to say, there are a plethora of opportunities for new engineers and doctors,” opined Prof Rao.

In his talk, Dr Murali Krishna Voonna confirmed that Artificial intelligence has a huge potential to become a transformational force in healthcare. It allows humans to gain unprecedented insights into diagnosis, care process, treatment variability and patient outcomes. Nowadays, machine learning uses statistical technics to give computing systems to learn with incoming data to identify patterns and make decisions which will help the doctors to assess risks, make a correct diagnosis, and offer more effective treatments. Robot-assisted surgery is now being widely popular for the precision and accuracy in performing a complicated surgery. AI is world’s one of the highest growth industries projected to reach $150 billion by 2026. It can compensate for physician biases and be used in personalised therapy by studying genome. Dr Voonna further informed that there is a huge scope for development in the segments such as brain-computer interface, next-generation radiology tools, creation of precise analytics for pathology images, expanding access to treat underserved regions, clinical decision support etc. to name a few. “Several reputed companies have invested in India to improve the AI in healthcare. NITI Aayog is working with Google to develop artificial intelligence ecosystems in India both in training and research. They have started a National Research Strategy for Artificial Intelligence recently. National Digital Health Authority has been formed as a regulatory body which is going to make the regulation in the Artificial Intelligence in start-ups and business and commercialisation of the products. Still, AI in healthcare is a decision support tool but not a decision-making tool,” explained Dr Voonna.

In the opinion of Dr Rajiv Janardhanan, the healthcare disparity continued because the investments of the government in the years after independence is less than 2 %. COVID-19 has turned out to be a blessing for health care as it made people especially policy-makers to realise that the healthcare infrastructure needs to be improved drastically. The AI-enabled intelligent support system is required because of budget constraints, rising costs of advanced medical treatments, increased complexity and cost of delivering healthcare, as well as increased expectations and demand for quality patient-centred healthcare. India comprises of a healthcare ecosystem where 80% of the healthcare is expensive, and 70% of the population is living in rural areas with marginalised and inaccessible healthcare. This makes the rationale to develop tools which are community empowering. “Knowledge dissemination of health literacy is required necessarily to increase the productive hours of the nation. When we empower the stakeholders with health literacy it directly aligns with the health promotion efforts, provides a rationale with community-empowering policy decision making, where the weakest stakeholder in the healthcare system can be an active participant,” asserted Dr Janardhanan. AI-enabled tagging of data can convert precision medicine to a community-centric new system which is called precision public health. This conversion has to be technology-enabled with support from the engineering fraternity to make it affordable and accessible.

During the second half of the session, the panel discussed the impact of COVID-19 on health immunity system. Padma Shree Awardee Prof Kaul explained in detail how COVID-19 disease affects the human body and the process of vaccination. He gave a detailed overview of how vaccines are prepared and the process of a clinical trial. He further shared the updated information on the COVID-19 vaccine with particular focus on India’s progress in making the vaccine. Dr Taneja and Dr Ramakanth expressed their views on COVID situation based on their daily experience at the hospitals. The panel agreed that the adoption of artificial intelligence (AI) in the healthcare system enables healthcare services, delivered at a lower cost with increased efficiency and emphasis on the diagnostics. AI should be encouraged to be used in machines to predict, comprehend, learn and act. It has the ability to play the role of game-changer in the areas of wellness, early detection, diagnosis, decision making, treatment, end of life, research and training. However, some concerns related to the safety, data quality, accountability, transparency, legal aspects etc. still persists.

The enthralling session ended with the vote of thanks. The insightful event certainly helped the participants to understand the approach in which AI is reinventing and improving modern healthcare through technologies that can estimate, comprehend, explore, and perform effectively.

K. Sree Rama Murthy, Second Year B. Tech-CSE student presented a paper at a conference in IIT-Kharagpur

K. Sree Rama MurthySRM University-AP always inspires the students in their pursuits, be it a job of their choice or a career in research and higher studies. K. Sree Rama Murthy, a 2nd-year student of B.Tech in Computer Science and Engineering, has recently presented a research paper on “A Block-wise Histogram Shifting based Reversible Data Hiding Scheme with Overflow Handling” in the Eleventh International Conference on Computing, Communication and Networking Technologies (11th ICCCNT), held at IIT Kharagpur, India in association with IEEE Kharagpur Section, during July 1 – 3, 2020.

Data hiding is a process of embedding a secret message into a cover medium for secure message transmission. The reversible data hiding techniques are recently explored in the domain of data hiding in which the cover image can be recovered while extracting the hidden secret message. The overview of a reversible data hiding scheme is shown in Figure. 1.

Figure 1. Overview of reversible data hiding

In this research paper, Sree Rama Murthy introduced a new reversible data hiding algorithm based on the histogram of the blocks of the cover images with an efficient overflow management technique to achieve a better embedding rate without compromising the visual quality of the stego image.

Design and development of reversible data hiding schemes are widely studied topic due to its wide scope in cloud computing and medical image transmission. This paper introduces a new reversible data hiding algorithm based on the histogram of the blocks of the cover images with an efficient overflow management technique. In the new scheme, the peak intensity value from each block is used for data hiding, and to make sure the correct recovery of the original image, the grayscale value used for data hiding from each block is embedded in the same block itself by replacing the least significant bits of eight selected pixels. The lossless recovery is ensured by embedding those least significant bits in the same block itself along with the secret message. Detailed theoretical analysis and experimental study of the scheme are carried out and discussed in this paper. The images from the standard image dataset of the University of Southern California (USC-SIPI) are used in their study.

“To be able to publish a research paper at such an early stage in a reputed conference like ICCCNT-2020 is an achievement that has acted as a cornerstone for my research aspirations. I feel highly encouraged, motivated and inspired to contribute more in the fields of research. I express my sincere gratitude to my professors, especially to Dr Manikandan V. M for providing me with the opportunity to collaborate. He put his trust on me, encouraged to do research with him and guided me with his knowledge and experience throughout the journey. I feel this is only the beginning for me, and I will try my best to accomplish more and retain more knowledge,” said Sree Rama Murthy.

Sree Rama Murthy plans to acquire a master’s degree in computer science and aspires to be a researcher who can make significant contributions in the domain of Computer Science and Engineering.

Monochromatic painting of Mahatma Gandhi won hearts and the first prize at the inter-department competition.

Painting of GandhiThe Department of Electronics and Communication Engineering is very proud of its student Ms Vyshnavi Tanikonda for securing the first prize in the Independence Day Painting Competition. Ms Vyshnavi painted a beautiful monochromatic painting of Mahatma Gandhi, the ‘Father of the Nation’ who fought for the independence and sovereignty of the country till his last breath. Ms Vyshnavi, a 2nd-year student, successfully captured the true essence of the great patriot in her painting which brought her the top prize in the inter-departmental competition. The Department of ECE heartily congratulates its daughter for bringing this honour to the department.

Dr Somesh Tiwari has received Mentoring of Engineering Teachers by INAE (Indian National Academy of Engineering) Fellowship -2020.

Dr Somesh Vinayak Tewari, Assistant Professor, Department of Electronics and Electrical Engineering, brings another honour for SRM University-AP. He has been selected for Mentoring of Engineering Teachers by INAE (Indian National Academy of Engineering) Fellowship -2020. His mentor during the programme will be Dr Archana Sharma, FIE, FNAE, Outstanding Scientist, Bhabha Atomic Research Centre.

The INAE (Indian National Academy of Engineering) provides funding to an Engineering Teacher for carrying out research in the selected/proposed area to be mentored by an INAE fellow. The scheme attempts to increase the knowledge base and is instrumental in building long term collaborations. Such mentoring program helps in bridging the collaboration between an academic area and a research and development organization which is extremely necessary to sow the seeds of research in young and energetic brains so that they are able to translate their research ideas for further growth. This interaction of ideas leads to a win-win situation for both the University and the research organization. The prestigious and highly competitive fellowship receives thousands of applications nationwide though only fifteen of them finally are selected for the fellowship this year by INAE. Dr Somesh is one of fifteen outstanding researchers.

Dr Tiwari will be working on the proposed research topic- “Studies on Inertial Electrostatic Confinement Concept in Deuterium gas environment”. Inertial Electrostatic Confinement (IEC) is an alternative concept to Magnetic and Inertial fusion. IEC fusion device is an extremely compact and simple device, running by high voltage as discharge on Deuterium -Deuterium/Deuterium-Tritium/Deuterium -3He fuel gases. Studies related to IEC find application in the areas of dosimeter calibration, isotope production, radiography, and has medical applications. Such a research is multifaceted and helps an engineering teacher to enhance his skills in experimental areas of high voltage, plasma physics, vacuum techniques, radiation detection and measurement and in numerical methods and simulation leading to a comprehensive analysis of a given problem. During the two months of the fellowship, Dr Archana Sharma will be mentoring the project. It is an excellent opportunity for our faculty to work with such a renowned scientist in such close proximity. The collaboration will be beneficial for both institutions.

Simulating time-variant channel impulse response for mmWave I2I channels using Doppler spread information

Dr Anirban Ghosh

Dr Anirban Ghosh, Assistant Professor, Electronics and Communication Engineering, has recently published a paper titled “Time Variance of 60 GHz VI2I channel”. The paper is published in the renowned journal Elsevier-Vehicular Communication with an Impact Factor of 4.7. This paper explores the implementation challenges in unlicensed 60 GHz frequency band for autonomous vehicle infrastructure. This work has been implemented in collaboration with his colleagues from NIT Durgapur and collaborators from Brno University under the aegis of Prof. Ales Prokes. This work is also funded by the Science Foundation grant (Czech) and National Sustainability Program grant (Czech) and DST-Core Research Grant(India).

Fig 1: Field test setup at the measurement site

Smart cities are cities on the move; having a mission of delivering people and goods with zero congestion, zero fatality and zero energy wastage. For realising this mission, a smart city needs an intelligent transport system (ITS). As far as the communication aspect of ITS is concerned, historically, the urban ITS planners were more concerned about vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) modes of communication. This is because the V2V and V2I channels are essentially wireless, and establishing reliable low-latency links over these channels is challenging. Infrastructure-to-infrastructure (I2I) communication is also an integral part of the ITS initiative, and due to their rapid, dynamic and non-invasive nature of the installation, wireless I2I links are preferred over wired links in several smart-road based ITS applications. In order to implement wireless I2I communication, transceivers may be fitted with different kinds of roadside units (RSUs), e.g., short height traffic signposts, overhead gantries, and cantilever sign supports. The traditional role of these RSUs is to support the basic ITS goals, i.e. driver assistance or traffic management. As the vehicular networks scale-up, ITS computations are being shifted to the edge, and the RSUs are going to play more prominent roles in the form of edge computing devices. For example, RSUs can form the cloudlet layer of a vehicular fog computing (VFC) architecture for the internet of vehicles (IoV).

Vehicular wireless I2I channels realise fixed-to-fixed (F2F) radio communication between two RSUs. For any F2F radio channel with stationary transmitter (TX) and receiver (RX), the time-variance is caused by the mobility of the scatterers. These mobile scatterers, say passersby for an indoor scenario, or passing vehicles for an outdoor scenario, cause changes in path lengths in a fading multipath channel. When viewed in frequency-domain, this yields a change in carrier frequency termed as Doppler shift which is proportional to the velocity of the scatterer, and the spectral broadening caused by the time rate of change of the channel is measured with the Doppler spread. Information about Doppler spread is critical for V2V applications such as platooning. In the context of V2I applications, accurate estimation of the Doppler spread is required for designing adaptive transceivers, smart antennas and for determining cellular handoffs. Doppler spread information can also be used for I2I applications like speed estimation. The radar-based solution has a lower latency compared to a camera-based solution, owing to the video acquisition and processing time of the later. As the Doppler shift is a linear function of the carrier frequency, it is of greater concern while moving up in the frequency ladder to the millimetre wave (mmWave) regime. The Doppler spread in the unlicensed 60 GHz mmWave band would be 10-30 times that in the current sub-6 GHz band, with a range spanning from 10 Hz to 20 kHz depending on the velocity of the scatterers. Moreover, compared to V2V links, the effect of moving scatterers is much more pronounced in F2F links; walking pedestrians with a velocity order of ∼ 1 m/s or even the tree leaves fluttering in the wind are important for F2F channel modelling. For highways, the moving vehicles have a velocity an order higher (> 10 m/s) and contribute significantly to the time-variance of the roadside wireless I2I links.

Fig 2: Comparison of the measured and
proposed models of ACF and Doppler
Spectrum with existing analytical models

In this paper, Dr Ghosh studied the time-variance of a roadside infrastructure to infrastructure (I2I) channel operating at 60 GHz millimetre wave (mmWave) band, where the time-variance is caused by moving vehicles acting as scatterers. At first, measurement data is obtained by placing the transmitter (TX) and the receiver (RX) at different heights to emulate a link between two nonidentical roadside units (RSUs), and time-domain channel sounding is performed by sending complementary Golay sequences from the TX to the RX. A linear piecewise interpolation of the corresponding temporal auto-correlation function (ACF) is used to find the Doppler spread of the I2I channel, where their interpolation method compensates for a slower sampling rate. Next, a framework is presented for the time-variant channel impulse response (CIR) simulation, which focuses on moving scatterers only and validates the linear piecewise ACF model. The framework is useful for time-variant vehicular I2I channel simulation and in speed estimation related vehicular applications. Finally, a double-slope curve-fitted analytical model for ACF is proposed as a generalisation to the linear piecewise model. The proposed model and its Doppler spectrum are found to be in agreement with the analytical results for fixed-to-fixed (F2F) channels with moving scatterers and matches perfectly with the measured data. “Our research has explained a framework for simulating time-variant channel impulse response (CIR) for mmWave I2I channels with moving scatterers using Doppler spread information – which provides means to study the various characteristics of an I2I channel even without carrying out any expensive channel sounding campaign”, said Dr Ghosh.

Dr Ghosh and his collaborators are currently exploring further challenges in communication between vehicles (V2V) in the same frequency range (60 GHz).

To know more about the paper, please visit- https://www.sciencedirect.com/science/article/abs/pii/S2214209620300590?dgcid=coauthor


SRM University AP-Andhra Pradesh has collaborated with the Indian Institute of Remote Sensing (IIRS) -Indian Space Research Organization (ISRO)’s outreach programme. As part of the association, the students of SRM AP have the excellent opportunity to register for annual courses as well as live and interactive programmes being organized by IIRS-ISRO.

Department of Electronics and Communication Engineering, SRM AP, have participated and successfully completed the programmes offered IIRS-ISRO. Lehitha Paturi, Bharadwaj Kadiyala, and Sai Yasaswini Metla have been awarded the certificate from the IIRS-ISRO on completing the online course on “Satellite Photogrammetry and its Application”. Also, Annapragada Sai Mounika has been certified for taking up the course on “Application of Geoinformatics in Ecological Studies”. Further, Tamatam Sravani Ratna has been accredited for undertaking both the aforementioned programmes organized by IIRS-ISRO.

SRM AP encourages the students to proactively avail the interactive distance learning courses and webinars that will enable them to achieve their career goals in aerospace and geospatial technologies and make a mark globally.

Smart algorithm to optimize performance of the heterogeneous multi-cloud network

Dr Sambit Kumar Mishra

As the world goes more digital in the future, the dependability on cloud computing is going to be more. The availability of high-capacity networks, low-cost computers and storage devices as well as the widespread adoption of hardware virtualization, service-oriented architecture and autonomic and utility computing has led to growth in cloud computing. But is it enough? How to improve its performance? How to make it more reliable with high-end technology and impeccable performance quality? Dr Sambit Kumar Mishra’s research has an answer to that.

System Model for Multi-cloud Networks Dr Sambit Kumar Mishra, Assistant Professor, Computer Science and Engineering has published a paper “Energy-Aware Task Allocation for Multi-Cloud Networks” in renowned journal IEEE ACCESS with an Impact Factor: 3.745. The research was done in collaboration with Dr Sonali Mishra, SOA (Deemed to be) University Bhubaneswar, India; Dr Ahmed Alsayat, College of Computer and Information Sciences Jouf University, Al-Jouf, Saudi Arabia; Dr N Z Jhanjhi and Dr Mamoona Humayun, School of Computer Science and Engineering (SCE), Taylor’s University, Malaysia; Dr Ashish Kr. Luhach, The PNG University of Technology, Papua New Guinea Lae, Morobe; Dr Kshira Sagar Sahoo, VNRVJIET, Hyderabad, India.

Example of Direct Acyclic Graph (DAG)with four TasksIn recent years, the growth rate of Cloud computing technology is exponentially, mainly for its extraordinary services with expanding computation power, the possibility of massive storage and all other services with the maintained quality of services (QoS). The task allocation is one of the best solutions to improve different performance parameters in the cloud, but when multiple heterogeneous clouds come into the picture, the allocation problem becomes more challenging. This research work proposed a resource-based task allocation algorithm. The same is implemented and analysed to understand the improved performance of the heterogeneous multi-cloud network. The proposed task allocation algorithm (Energy-aware Task Allocation in Multi-Cloud Networks (ETAMCN)) minimizes the overall energy consumption and also reduces the makespan. The results show that the makespan is approximately overlapped for different tasks and does not show a significant difference. However, the average energy consumption improved through ETAMCN is approximately 14%, 6.3%, and 2.8% in opposed to the random allocation algorithm, Cloud Z-Score Normalization (CZSN) algorithm, and multi-objective scheduling algorithm with Fuzzy resource utilization (FR-MOS), respectively. An observation of the average SLA-violation of ETAMCN for different scenarios is performed.

Energy Consumption Vs SLA Violation when
the number of VMs varies and the number of Task is 100.
The multi-cloud strategy offers flexibility to service providers. It allows businesses to be productive while using the proper set of services to optimize their opportunities. Adopting a multi-cloud network enables an enterprise to implement a “best of breed” model for the services. Organizations’ ability to choose the vendor that offers the best price for their workload is added significant advantage of multi-cloud. Thus, the optimization of energy consumption in a multi-cloud environment is necessary for the current generation.

However, this proposed work has not considered any priority-oriented users, such as task execution through reserve resource in the network, which will be considered as his future work. The future work also aims to propose a task cum resource-aware scheduling approach that will exploit the nature of the presented workload and efficiently map on the available Cloud resources so that energy consumption will optimize.

Link to the research paper: Please Click Here

Connecting the dots between Mathematics and Physics of the hydrodynamic instability known as Viscous Fingering (VF)

DST, Government of India, sanctioned a total outlay of Rs.14.63 lakhs to Dr Tapan Kumar Hota, Assistant Professor, Department of Mathematics, SRM University-AP, Andhra Pradesh, for pursuing research on “Mathematical analysis and Adjoint Based Stability for a Coupled Convection-Diffusion equation in Miscible Displacement”. Hydrodynamic Stability (Instability) is a study of an equilibrium point subject to small and/or medium disturbances. This assists in understanding several complicated natural phenomena such as fluid transition from laminar to turbulent, chemical mixing, formation of cloud, and others. The available stability analysis is unable to address the early-time evolution of the VF process. The early-time behaviour of the system helps us to choose the parameters that are responsible for the long-time behaviour of the coupled PDEs. To achieve the target, we need to address the linear stability of the system from the study of the singular-value-decomposition instead of traditional eigenvalue analysis. As the system is non-autonomous, the eigenvectors/eigenvalues may not be physically relevant. Further, it is required to confirm our linear stability analysis by mathematical analysis of the coupled non-linear PDEs.

‘The nonmonotonic viscosity profile when a high mobile fluid is displacing a less mobile fluid. There is a potentially unstable region, where the viscosity increases in the flow direction, followed in the downstream direction by a potentially stable region, where the viscosity decreases in the flow direction. The disturbance structure is computed using the singular-value decomposition of the propagator matrix. Reference: Hota & Mishra, Journal of Fluid Mech, Vol. 856, pp:552-579, 2018.’

Dr Tapan is keen on studying other branches of science to provide the correct mathematical approach to address the issues. His project will address one of the hydrodynamic instabilities known as viscous fingering (VF). It forms when a high mobile fluid displaces a low mobile fluid. It has enormous implications in the field of Chemical Engineering Science, Petroleum Engineering, Chromatography, and Oil Extraction process. He explains, “I will study this instability from a mathematician’s point of view, more precisely, to address the mathematical analysis of coupled partial differential equations (PDEs). The system that governs the VF is non-autonomous and there is no readily available stability analysis that can represent Physics, based on robust mathematical analysis. My aim is to connect the dots between mathematics and physics of the VF.”

Infrastructure and laboratory facilities are crucial to conduct research. Upon receiving approval from a prestigious organization like SERB (Science and Engineering Research Board), Govt. of India, Dr. Tapan is entitled to this unique opportunity to serve the scientific community. He divulges, “The award is not only a recognition to me but also to the SRM University, AP. The University will be more visible in the world of research and can attract more eminent scientists and researchers to make the University their second home.” Quoting Master Oogway, ‘Yesterday is history, Tomorrow is a mystery… Today is a gift, that’s why it is called present.’, Dr Tapan is eager to commence working on his project at the earliest, and looks forward to enjoying the process of accomplishing the task.