191 research outputs found

    Efficient Task Scheduling and Fair Load Distribution Among Federated Clouds

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    The federated cloud is the future generation of cloud computing, allowing sharing of computing and storage resources, and servicing of user tasks among cloud providers through a centralized control mechanism. However, a great challenge lies in the efficient management of such federated clouds and fair distribution of the load among heterogeneous cloud providers. In our proposed approach, called QPFS_MASG, at the federated cloud level, the incoming tasks queue are partitioned in order to achieve a fair distribution of the load among all cloud providers of the federated cloud. Then, at the cloud level, task scheduling using the Modified Activity Selection by Greedy (MASG) technique assigns the tasks to different virtual machines (VMs), considering the task deadline as the key factor in achieving good quality of service (QoS). The proposed approach takes care of servicing tasks within their deadline, reducing service level agreement (SLA) violations, improving the response time of user tasks as well as achieving fair distribution of the load among all participating cloud providers. The QPFS_MASG was implemented using CloudSim and the evaluation result revealed a guaranteed degree of fairness in service distribution among the cloud providers with reduced response time and SLA violations compared to existing approaches. Also, the evaluation results showed that the proposed approach serviced the user tasks with minimum number of VMs

    Focussed antenatal care a possible opportunity towards safe motherhood

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    Background: The Primary Health Care Setting gives a challenging opportunity for the clinicians to deal with pregnancy into favorable outcomes solely based on the clinical skills in view of innumerable socio-cultural-economic barriers. The Pregnant women make satisfactory progress-  to  full term, deliver  with  minimal morbidity, no loss of life and healthy baby-How to ensure? This is the objectives of our study. Suppose Obstetricians spare time, use checklist, Prioritize and provide care will it make any difference in saving mothers? Objectives: Describe in detail the process of Focused Antenatal Care as practiced in Primary Health Care setting and Minimize mortality and morbidity due to pregnancy by 25 percent from 169. (Maternal Mortality Rate (MMR 169).Methods: This is a community based descriptive, prospective, cohort study about a group of pregnant women till their delivery, using multiple cluster random sampling of 251 high risk pregnant women and subsequent follow up over 3 months with focused care. Compilation of data and analysis using SPSS Version 20.Results: Total Study participants 251 represented all the sections of target population with regard to socio-economic and cultural background. The participants attended FANC giving a response rate of 100%. These participants had one or more risk factor. All but 10 participants attended 4 or more FANC clinic visits 241 (96%). In these participants the commonest manageable morbid conditions are underweight (20%), anaemia (14%) preeclampsia (8%), eclampsia (2%) and gestational diabetes. In our finding 87% mothers completed full term pregnancy, 11.5% preterm (>28 but 2.5Kg, 13% Baby weight < 2.5 Kg. with an average of 2.9Kg.Conclusions: We are able to describe the Focused ANC and able to help improve the quality of life and to minimize morbidity and mortality in pregnant women

    Enhanced Relative Comparison of Traditional Sorting Approaches towards Optimization of New Hybrid Two-in-One (OHTO) Novel Sorting Technique

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    In the world of computer technology, sorting is an operation on a data set that involves ordering it in an increasing or decreasing fashion according to some linear relationship among the data items. With the rise in the generation of big data, the concept of big numbers has come into existence. When the number of records to be sorted is limited to thousands, traditional sorting approaches can be used; in such cases, complexities in their execution time can be ignored. However, in the case of big data, where processing times for billions or trillions of records are very long, time complexity is very significant. Therefore, an optimized sorting technique with efficient time complexity is very much required. Hence, in this paper an optimized sorting technique is proposed, named Optimized Hybrid Two-in-One Novel Sorting Technique (OHTO, a mixed approach of the Insertion Sort technique and the Bubble Sort technique. The proposed sorting technique uses the procedure of both Bubble Sort and Insertion Sort, resulting in fewer comparisons, fewer data movements, fewer data insertions, and less time complexity for any given input data set compared to existing sorting techniques

    Detection of GSM Based Accident Location, Vehicle Theft and Fuel Theft Using ARM Cortex M-3 Microcontroller

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    In Today's world the amount of vehicle theft, fuel theft and accident of vehicles are increasing day by day. As per the survey made, each year more than a million vehicles are stolen in the U.S (one vehicle every 30 seconds). Vehicle theft occurs not only in metropolitan areas but also it can occur in seedy areas of town. To overcome this limitation, an automotive localization system using GPS and GSM services for the detection of accident location, fuel theft and vehicle theft using ARM Cortex M-3 is proposed. Here, the Vehicle tracking and locking system installed in the vehicle, to track the place and locking engine motor. The place of the vehicle identified using Global Positioning system (GPS) and Global system mobile communication (GSM). These systems constantly watch a moving Vehicle and report the status on demand. When the theft identified, the responsible person send SMS to the ARM Cortex M-3 controller, then controller issue the control signals to stop the engine motor. Authorized person need to send the password to controller to restart the vehicle and open the door which provides more secured, reliable and low cost. The proposed model shows better in its performance

    Enhanced Relative Comparison of Traditional Sorting Approaches towards Optimization of New Hybrid Two-in-One (OHTO) Novel Sorting Technique

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    In the world of computer technology, sorting is an operation on a data set that involves ordering it in an increasing or decreasing fashion according to some linear relationship among the data items. With the rise in the generation of big data, the concept of big numbers has come into existence. When the number of records to be sorted is limited to thousands, traditional sorting approaches can be used; in such cases, complexities in their execution time can be ignored. However, in the case of big data, where processing times for billions or trillions of records are very long, time complexity is very significant. Therefore, an optimized sorting technique with efficient time complexity is very much required. Hence, in this paper an optimized sorting technique is proposed, named Optimized Hybrid Two-in-One Novel Sorting Technique (OHTO, a mixed approach of the Insertion Sort technique and the Bubble Sort technique. The proposed sorting technique uses the procedure of both Bubble Sort and Insertion Sort, resulting in fewer comparisons, fewer data movements, fewer data insertions, and less time complexity for any given input data set compared to existing sorting techniques

    3′-UTR SNP rs2229611 in G6PC1 affects mRNA stability, expression and Glycogen Storage Disease type-Ia risk

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    The frequency of rs2229611, previously reported in Chinese, Caucasians, Japanese and Hispanics, was investigated for the first time in Indian ethnicity. We analyzed its role in the progression of Glycogen Storage Disease type-Ia (GSD-Ia) and breast cancer. Genotype data on rs2229611 revealed that the risk of GSD-Ia was higher (P = 0.0195) with CC compared to TT/TC genotypes, whereas no such correlation was observed with breast cancer cases. We observed a strong linkage disequilibrium (LD) among rs2229611 and other disease causing G6PC1 variants (| D′| = 1, r2 = 1). Functional validation performed in HepG2 cells using luciferase constructs showed significant (P < 0.05) decrease in expression than wild-type 3′-UTR due to curtailed mRNA stability. Furthermore, AU-rich elements (AREs) mediated regulation of G6PC1 expression characterized using 3′-UTR deletion constructs showed a prominent decrease in mRNA stability. We then examined whether miRNAs are involved in controlling G6PC1 expression using pmirGLO-UTR constructs, with evidence of more distinct inhibition in the reporter function with rs2229611. These data suggests that rs2229611 is a crucial regulatory SNP which in homozygous state leads to a more aggressive disease phenotype in GSD-Ia patients. The implication of this result is significant in predicting disease onset, progression and response to disease modifying treatments in patients with GSD-Ia

    Novel ALDH3A2 mutations in structural and functional domains of FALDH causing diverse clinical phenotypes in Sjögren-Larsson Syndrome patients

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    Mutations in ALDH3A2 cause Sjögren-Larsson Syndrome (SLS), a neuro-ichthyotic condition that is caused by deficiency of fatty aldehyde dehydrogenase (FALDH). We screened for novel mutations causing SLS among Indian ethnicity, characterized the identified mutations in silico and in vitro; and retrospectively evaluated their role in phenotypic heterogeneity. Interestingly, asymmetric distribution of non-classical traits was observed in our cases. Nerve conduction studies suggested intrinsic-minus-claw hands in two siblings, a novel neurological phenotype to SLS. Genetic testing revealed 5 novel homozygous ALDH3A2 mutations in six cases: Case-1-NM_000382.2:c.50C>A, NP_000373.1:p.(Ser17Ter); Case-2-NM_000382.2:c.199G>T, NP_000373.1:p.(Glu67Ter); Case-3-NM_000382.2:c.1208G>A, NP_000373.1:p.(Gly403Asp); Case-4-NM_000382.2:c.1325C>T, NP_000373.1:p.(Pro442Leu); Case-5&6-NM_000382.2:c.1349G>A, NP_000373.1:p.(Trp450Ter). The mutations identified were predicted to be pathogenic and disrupts the functional domains of the FALDH. p.(Pro442Leu) at the C-terminal α-helix, might impair substrate gating process. Mammalian expression studies with exon-9 mutants confirmed the profound reduction in the enzyme activity. Diminished aldehyde oxidizing activity was observed with cases-2&3. Cases-2 & 3 showed epidermal hyperplasia with mild intracellular edema, spongiosis, hypergranulosis, and perivascular-interstitial lymphocytic infiltrate and a leaky eosinophilic epidermis. The presence of keratin-milia like lipid vacuoles implies defective lamellar secretion with p.(Gly403Asp). This study improves our understanding of the clinical and mutational diversity in SLS, which might help to fast-track diagnostic and therapeutic interventions of this debilitating disorder. This article is protected by copyright. All rights reserved

    Indian Peanut Clump Virus Isolates: Host Range, Symptomatology, Serological Relationships, and Some Physical Properties

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    The symptomatology of Indian peanut clump virus (IPCV) isolates collected from five different geographical locations, Bapatla (B), Chinnaganjam (C), Hyderabad (H), Ludhiana (L), and Talod (T), differed. B-IPCV and C-IPCV were indistinguishable by host range but could be distinguished from the other isolates by symptoms on Canavalia ensiformis, Nicotiana clevelandii × glutinosa, Phaseolus vulgaris, and Vigna unguiculata. B-IPCV, C-IPCV, and T-IPCV were related serologically, but could be distinguished from H-IPCV and L-IPCV isolates in serological tests. The five isolates could not be distinguished on the basis of particle size. Each isolate contained two RNA species of 1.90 × 106 and 1.65 × 106 Mr estimated under nondenaturing conditions and a single polypeptide of 24 × 103 Mr. Significance of these findings for the diagnosis of IPCV and for screening of peanut genotypes for resistance is discussed
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