Aditya Bhardwaj - Academia.edu (original) (raw)

Papers by Aditya Bhardwaj

International Journal of Engineering Research and

International Journal of Knowledge Engineering and Data Mining

The proliferation of virtualisation enables cloud computing industries, such as Amazon, IBM, Goog... more The proliferation of virtualisation enables cloud computing industries, such as Amazon, IBM, Google, Microsoft, and Rackspace to increase their physical hardware utilisation by multi-tenant model. One important key characteristic of server virtualisation is virtual machine (VM) migration. With the popularity of cloud paradigm, the number of enterprise applications deployed over cloud-systems are increasing. This shift in cloud services has brought new challenges of frequently varying resource requirement by the VM migration operation. Inaccurate allocation of bandwidth may affect end-user experience and reduce the cloud service provider's profit, Therefore, in this work we setup QEMU-KVM cloud VM migration experimental testbed environment and run CPU, memory intensive cloud benchmarks on the migrated VM. From the experimental results, it is found that increase in bandwidth significantly lower the migration time and downtime up-to an extent, however, reserving maximum bandwidth does not help anymore for performance improvement of migration mechanism.

Materials Today: Proceedings

International Journal of Engineering & Technology

Customer Relationship Management(CRM) has always played a crucial role as a market strategy for p... more Customer Relationship Management(CRM) has always played a crucial role as a market strategy for providing organizations with the quintessential business intelligence for building, managing and developing valuable long-term customer relationships. A number of business enterprises have come to realize the significance of CRM and the application of technical expertise to achieve competitive advantage. This study explores the importance of Customer Segmentation as a core function of CRM as well as the various models for segmenting customers using clustering techniques. The available clustering models for customer segmentation, in general, and the major models of K-Means and Hierarchical Clustering, in particular, are studied and the virtues and vices of the techniques are pointed out. Finally, the possibility of developing a hybrid solution by the combination of the above two techniques, having the ability to outperform the individual models, is discussed.

International Journal of Research in Medical Sciences

Background: The present prospective observational study was done to analyse the risk factors lead... more Background: The present prospective observational study was done to analyse the risk factors leading to minor or major lower extremity amputation (LEA) in diabetic patients.Methods: A 139 patients were divided into Group A (n=113) and Group B (n=26) who underwent minor and major LEA respectively.Results: Majority of the patients in group B were from rural and lower socioeconomic background. Duration of diabetes (p=0.017) and of DFU was significantly longer in group B (P <0.001) The pro-portion of patients with Wagner Grade 4 and 5 ulcer were significantly higher in group B than in group A (P <0.001) Wound infection and maggots were significantly higher in group B though polymicrobial infection was higher in group A. Biochemical investigations were abnormally altered but difference between two groups was not significant.Conclusions: Socioeconomic burden on the society due to LEA can be reduced by making diabetic patients aware of foot hygiene, regular medical check-up for co...

Journal of Intelligent & Fuzzy Systems

In cloud computing datacenter infrastructure, virtualization has enabled cloud providers to creat... more In cloud computing datacenter infrastructure, virtualization has enabled cloud providers to create abstraction of their physical resources and increased the infrastructure utilization. At the datacen-ter, cloud users services are implemented using Virtual Machines (VMs). With the popularity of cloud paradigm, numbers of enterprise applications deployed over cloud systems are increasing. For example, bigdata MapReduce computing environment are implemented through cloud to access large amount of computing resources. This shift in cloud paradigm has brought new challenges of server consolidation, load balancing, resource management, and server fault situation. Cloud managers trigger VM migration to achieve all these challenges. VM migration allows migration of running VMs from one datacenter to another. In migration process to keep the VM alive, VM memory pages are transferred in multiple iterations. Thus, there is an increase in the requirement of network resources consumption during migration process. However, inaccurate bandwidth allocation for a VM migration request can lead to performance degradation. Therefore, there is a need to devise an efficient bandwidth allocation strategy. In this paper using cloud virtualization testbed environment, we first identified alpha (α), as a key controlling parameter to improve the migration performance. Next, we propose a multistage bandwidth allocation technique which aims to minimize the bandwidth allocation at each round of migration mechanism. The proposed technique is implemented by the simulation carried out in Matlab software. To ensure the applicability for hosted applications with varying characteristics, multistage scheme is evaluated using both low and high dirty rate conditions. We also considered distributed cloud deployment situation by using sequential and multiple VM migration test cases. The results demonstrated shows, as compared to existing migration bandwidth allocation schemes, our proposed technique outperform in terms of downtime, migration time, amount of bandwidth provisioned and finally migration iterations count. The significance of this study is that, multistage technique allows bandwidth allocation in each iteration as variable to current dirty rate scenario, thereby increasing the revenue of cloud providers. Furthermore, its applicability is not limited to read intensive workloads as in MIN scheme and write intensive workloads as in MAX scheme, but it can be useful for all types of hosted instances.

Advanced Composites and Hybrid Materials

International Journal of Engineering Research and Applications, 2017

Industrialisation and population is increasing day by day leading to the increase in the amount o... more Industrialisation and population is increasing day by day leading to the increase in the amount of waste plastic. Plastic is a non-biodegradable substance i.e. it is not decomposed by bacteria easily. So, dumping it causes soil pollution which leads to decrease in the fertility of soil. Another way of getting rid of plastic is by burning it, which also produces a lot of harmful gases and leads to increase in air pollution. Soil and air pollution both are harmful for the environment. Waste plastic can be used in bitumen as a modifier. In this paper we will discuss the variation of the properties of bitumen on addition of waste plastic at different percentage.

2016 International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT), 2016

Several challenges are faced by citizens of urban centers while dealing with day-today events, an... more Several challenges are faced by citizens of urban centers while dealing with day-today events, and the absence of a centralized reporting mechanism makes event-reporting and redressal a daunting task. With the push on information technology to adapt to the needs of smart-cities and integrate urban civic services, the use of Open311 architecture presents an interesting solution. In this paper, we present a novel approach that uses an existing Open311 ontology to classify and report non-emergency city-events, as well as to guide the citizen to the points of redressal. The use of linked open data and the semantic model serves to provide contextual meaning and make vast amounts of content hyper-connected and easily-searchable. Such a one-size-fits-all model also ensures reusability and effective visualization and analysis of data across several cities. By integrating urban services across various civic bodies, the proposed approach provides a single endpoint to the citizen, which is imperative for smooth functioning of smart cities.

2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS), 2015

These are the days of Growth and Innovation for a better future. Now-a-days companies are bound t... more These are the days of Growth and Innovation for a better future. Now-a-days companies are bound to realize need of Big Data to make decision over complex problem. Big Data is a term that refers to collection of large datasets containing massive amount of data whose size is in the range of Petabytes, Zettabytes, or with high rate of growth, and complexity that make them difficult to process and analyze using conventional database technologies. Big Data is generated from various sources such as social networking sites like Facebook, Twitter etc, and the data that is generated can be in various formats like structured, semi-structured or unstructured format. For extracting valuable information from this huge amount of Data, new tools and techniques is a need of time for the organizations to derive business benefits and to gain competitive advantage over the market. In this paper a comprehensive study of major Big Data emerging technologies by highlighting their important features and how they work, with a comparative study between them is presented. This paper also represents performance analysis of Apache Hive query for executing Twitter tweets in order to calculate Map Reduce CPU time spent and total time taken to finish the job.

2015 Annual IEEE India Conference (INDICON), 2015

Recently Cloud based Hadoop has gained a lot of interest that offer ready to use Hadoop cluster e... more Recently Cloud based Hadoop has gained a lot of interest that offer ready to use Hadoop cluster environment for processing of Big Data, eliminating the operational challenges of on-site hardware investment, IT support, and installing, configuring of Hadoop components such as HDFS and MapReduce. On demand Hadoop as a service helps the industries to focus on business growth and based on pay per use model for Big Data processing with auto-scaling of Hadoop cluster feature. In this paper implementation of various MapReduce jobs like Pi, TeraSort, WordCount has been done on cloud based Hadoop deployment by using Microsoft Azure cloud services. Performance of MapReduce jobs has been evaluated with respect to CPU execution time with varying size of Hadoop cluster. From the experimental result, it is found that CPU execution time to finish the jobs decrease as the number of Data Nodes in HDInsight cluster increases and indicates the good response time with increase in performance as well as more customer satisfaction.

Result of Pre Contoured Distal Radius Indian Locking Plates in Distal Radius Fracture, Nov 17, 2014

Journal of Arthroscopy and Joint Surgery, 2016

Procedia Computer Science, 2015

$Research paper thumbnail of Hoffa fracture associated with avulsion fracture of cruciate ligaments: Two case reports$

Journal of Arthroscopy and Joint Surgery, 2015

Indian Journal of …, 2002

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The American Journal of Cardiology, 2011

Almost 50% of patients with congestive heart failure (HF) have preserved ejection fraction (PEF).... more Almost 50% of patients with congestive heart failure (HF) have preserved ejection fraction (PEF). Data on the effect of HF-PEF on atrial fibrillation outcomes are lacking. We assessed the prognostic significance of HF-PEF in an atrial fibrillation population compared to a systolic heart failure (SHF) population. A post hoc analysis of the National Heart, Lung, and Blood Institute-limited access data set of the Atrial Fibrillation Follow-up Investigation of Rhythm Management (AFFIRM) trial was carried out. The patients with a history of congestive HF and a preserved ejection fraction (EF >50%) were classified as having HF-PEF (n ‫؍‬ 320). The patients with congestive HF and a qualitatively depressed EF (EF <50%) were classified as having SHF (n ‫؍‬ 402). Cox proportional hazards analysis was performed. The mean follow-up duration was 1,181 ؎ 534 days/patient. The patients with HF-PEF had lower all-cause mortality (hazard ratio [HR] 0.62, 95% confidence interval [CI] 0.46 to 0.85, p ‫؍‬ 0.003) and cardiovascular mortality (HR 0.56, 95% CI 0.38 to 0.84, p ‫؍‬ 0.006), with a possible decreased arrhythmic end point (HR 0.39, 95% CI 0.16 to 1.006, p ‫؍‬ 0.052) than did the patients with SHF. No differences were observed for ischemic stroke (HR 1.08, 95% CI 0.48 to 2.39, p ‫؍‬ 0.86), rehospitalization (HR 0.89, 95% CI 0.75 to 1.07, p ‫؍‬ 0.24), or progression to New York Heart Association class III-IV (odds ratio 0.80, 95% CI 0.42 to 1.54, p ‫؍‬ 0.522). In conclusion, although patients with HF-PEF have better mortality outcomes than those with SHF, the morbidity appears to be similar.

Biomaterials, 2006

Implant stability is not only a function of strength but also depends on the fixation established... more Implant stability is not only a function of strength but also depends on the fixation established with surrounding tissues [Robertson DM, Pierre L, Chahal R. Preliminary observations of bone ingrowth into porous materials. J Biomed Mater Res 1976;10:335-44]. In the past, such stability was primarily achieved using screws and bone cements. However, more recently, improved fixation can be achieved by bone tissue growing into and through a porous matrix of metal, bonding in this way the implant to the bone host. Another potentially valuable property of porous materials is their low elastic modulus. Depending on the porosity, moduli can even be tailored to match the modulus of bone closer than solid metals can, thus reducing the problems associated with stress shielding. Finally, extensive body fluid transport through the porous scaffold matrix is possible, which can trigger bone ingrowth, if substantial pore interconnectivity is established [Cameron HU, Macnab I, Pilliar RM. A porous metal system for joint replacement surgery. Int J Artif Organs 1978;1:104-9; Head WC, Bauk DJ, Emerson Jr RH. Titanium as the material of choice for cementless femoral components in total hip arthroplasty. Clin Orthop 1995;85-90]. Over the years, a variety of fabrication processes have been developed, resulting in porous implant substrates that can address unresolved clinical problems. The advantages of metals exhibiting surface or bulk porosity have led researchers to conduct systematic research aimed at clarifying the fundamental aspects of interactions between porous metals and hard tissue. This review summarises all known methods for fabricating such porous metallic scaffolds.