Pradeep Kumar Tiwari

Data Security for Software as a Service

Cloud computing is a BUZZ word of modern computing scenario. Cloud computing services are flexible and cost effective with resource utilization. Cloud computing have three service models SaaS (Software as a Service) PaaS (Plateform as a Service) and Iaas (Infrastructure as a Service). SaaS provide on demand application services such as email, ERP and CRM etc. Multi user can access applications and they can interact to each other at same time. All users data can be reside at same place. This flexibility of SaaS service also gives the security breaches. Loop holes of SaaS harder to find and maintain. The authors discuss here security vulnerabilities of SaaS with possible solutions. This study would be helpful to elaborate to understand data security issues and privacy solutions over SaaS.

A Review on Load Balancing of Virtual Machine Resources in Cloud Computing

An effective load balance (LB) management achieves high performance computing (HPC) and green computing. Users can run their jobs on virtual machines (VMs). Virtual machine (VM) has own resources (CPU and memory). VM migrates from host to another host during fail of VM, hot spot and high resource demand. Effective LB management is based on scheduling policy and management Strategies. In this paper it is discussed the available scheduling mechanisms, goals and strategies of load balancing techniques. The aim of this work to elaborate the key analysis of research works on LB.

Dynamic weighted virtual machine live migration mechanism to manages load balancing in cloud computing

Load Balancing is a mechanism of efficient utilization of computing resources (i.e. CPU, Memory and Network). Cloud computing is the best option to reduce CAPEX and OPEX of the organizations. High Quality of Service (QoS) and reduction the Service Level Agreement (SLA) violation depend on efficient management of Load Imbalance problem. Cloud Service efficiency depends on proper management of physical and logical resources. Researchers did lots of work on the effective load management system. Researchers used many approaches (i.e. Ant colony, Honey Bee, Genetic, Static, and Dynamic) but still need improvement. Virtual Machines (VMs) migration system plays the vital role in load management. Our focus in this research is maximizing the utilization of VMs CPU capacity. Proposed research approach is based on Dynamic Weighted Live Migration (DWLM) to manage load imbalance problem. The proposed mechanism results outcomes compared with Migration time, Scalability, Throughput and Availability factor from Equally Spread Current Execution load balancing algorithm (ESCEL) and Push Pull algorithm. This paper also focuses on others load balancing strategies and future research scope in Load management mechanism.

Application of chromosomal microarray for evaluation of idiopathic short stature in Asian Indian children: A pilot study

Background: Human height is a classic polygenic trait and currently available data explains only 10% of the phenotypic variation in height. Almost 60%–80% of the children coming to pediatric and endocrinology outpatient department for the evaluation of short stature are still labeled as idiopathic. Objectives: The aim of this study is to identify various chromosomal alterations causing idiopathic short stature (ISS) and short stature with dysmorphic features not pertaining to known genetic syndromes. Materials and Methods: After exclusion of all nutritional, systemic, endocrine, and syndromic causes of short stature, 19 patients with height <2 standard deviation scores were subjected to chromosomal microarray (CMA) study using Affymetrix CytoScan 750K array and CMA Scanner 3000 platform. Results: We identified total 61 copy-number variant (CNV) and polymorphs (33 gains, 11 loss, and 17 gain-mosaics) not described as normal variants in database of genomic variations. We identified SHOX haploinsufficiency as a cause of short stature in two patients, whereas one patient was gain-mosaic for SHOX. All three had normal conventional karyotype. One of these patients also had deletion of PAX3, which could be the cause of both short stature and associated mild intellectual impairment in this patient. We also found a long noncoding RNA, namely, KIAA0125 and a pseudogene ADAM6 in 18 out of our 19 patients which might have a regulatory role. Conclusion: This study shows that CMA is a very promising tool for the identification of pathogenic CNVs in patients with ISS. It can also help to identify novel genes controlling height and can open up new insight into pathophysiologic mechanisms underlying ISS, and thus may help to unfold new therapeutic targets for treatment of this condition. The association of CNV having genes for long noncoding RNAs, such as KIAA0125 and pseudogene such as ADAM6 with ISS suggest that they may play a role in controlling the expression of height-related genes and it needs further investigations.

Genetics of Lipodystrophy: Can It Help in Understanding the Pathophysiology of Metabolic Syndrome?

Understanding phenotypes and their genetic determinants for metabolic syndrome (MetS) has been quite challenging. With the advent of systems genomic approaches, there is a need to decipher methods for identification and evaluating the functional role of phenotypic traits associated with complex diseases, such as MetS. The monogenic syndromes of lipodystrophy are well understood, but the molecular pathophysiology of insulin resistance (IR) underpinning the obesity, diabetes mellitus, and dyslipidemia is not well deciphered. In this commentary, we argue the role of pathophysiology of MetS, and its effects into possible understanding of genetic determinants associated with lipodystrophy-mediated diabetes mellitus.

Lnc-EPB41-Protein Interactions Associated with Congenital Pouch Colon

Congenital Pouch Colon (CPC) is a rare anorectal anomaly common to northwestern India, specifically Rajasthan. Despite efforts to understand the clinical genetic makeup of CPC, no attempt on identifying non-coding RNAs was done. We have earlier reported CPC’s rare variants from whole exome sequencing (WES) across 18 affected samples in a total of 64 subjects. A Smith–Waterman algorithm was used to infer a couple of lncRNAs from WES samples of CPC with predictions from the Noncode database. Further screening and quantification using polymerase chain reaction (PCR), we ascertained interactions using Micro Scale Thermophoresis (MST). We report the role of lnc-EPB41-1-1 shown to be promiscuously interacting with KIF13A substantiating their role in regulation.

Resource Management Using Virtual Machine Migrations

Virtualization is a component of cloud computing. Virtualization does the key role on resource (e.g., storage, network, and compute) management and utilized the resource by isolated virtual machines (VMs). A good VMs migration system has an impact on energy efficiency policy. Good resource administration policy monitors the on-demand load management, and also manages the allocation/relocation of the VMs. The key challenges are VMs isolation and migration in heterogeneous physical servers. Threshold mechanism is effective to manage the load among VMs. Previous research shows thrashing is a good option to manage load and migrate the load among VMs during failover and high load. Linear programming (LP), static and dynamic approaches are superior to manage the load through VMs migration. This research proposes threshold-based LP approach to manage load balance and focus on dynamic resource management, load balance goals, and load management challenges.

A review of data security and privacy issues over SaaS

Cloud computing is an emerging computing technology over internet. Cloud service providers provide best use and utilization of resources by service models. Cloud computing cost and service make very popular among cloud user. Data security and privacy is main issue because of its dependence on cloud provider. SaaS service model provides many features but it still has some lack of security mechanism. In This paper we are discussing about lack of security mechanism and possible solutions which are already available. This paper would be helpful for elaborate study of SaaS security, vulnerabilities and security threats.