Efficient Hybrid Genetic Based Multi Dimensional Host Load Aware Algorithm for Scheduling and Optimization of Virtual Machines

Mapping the virtual machines to the physical machines cluster is called the VM placement. Placing the VM in the appropriate host is necessary for ensuring the effective resource utilization and minimizing the datacenter cost as well as power. Here we present an efficient hybrid genetic based host load aware algorithm for scheduling and optimization of virtual machines in a cluster of Physical hosts. We developed the algorithm based on two different methods, first initial VM packing is done by checking the load of the physical host and the user constraints of the VMs. Second optimization of placed VMs is done by using a hybrid genetic algorithm based on fitness function. Our simulation results show that the proposed algorithm outperforms existing methods and enhances the rate of resource utilization through accommodating more number of virtual machines in a physical hos

PERFORMANCE ANALYSIS OFADAPTIVE MULTIPLE QUEUING DISCIPLINES (AMQD) FORVOIPROUTING IN RANDOM WAY POINT MOBILITY MODEL OVER MANET SCENARIO

In Mobile Ad hoc Network (MANET), QOS (Quality of Services) in VOIP application plays anextremelysignificantresponsibility. Queuing disciplinesis anissue of concentratedconversation and research in the wireless network field for development of packets from dissimilar traffic flow for dispensation at anexactnode.Hence Mobility takes an important rolein networks to evaluate the presentation of AMQD with different Codec's for voice Over Internet. VOIPis arisingaccepted Internet application toprovidehigh-quality services through Mobile Adhoc Network (MANET).Based on the analysis and assessment of different mobility models such as Random Waypoint Models, Reference point group models,Manhattan Mobility models , it is pointing out that this network also facea lot of challenges on QOS issueupon the node movement of different mobility. The QoS issues such as packet loss, less throughput, more delay, jitter issues and high energy consumption, Combine these issues together with mobility models, in this paper the researcherestimate the performance of various VOIP codec with Adaptive Multiple Queuing Disciplines (AMQD) namely, IAE3, DBPQ, CBCRTQ over MANET. Simulation and GUI experiments demonstrate thecomparative analysis of different queuing in quality of services parameter

Efficient Hybrid Genetic Based Multi Dimensional Host Load Aware Algorithm for Scheduling and Optimization of Virtual Machines

Mapping the virtual machines to the physical machines cluster is called the VM placement. Placing the VM in the appropriate host is necessary for ensuring the effective resource utilization and minimizing the datacenter cost as well as power. Here we present an efficient hybrid genetic based host load aware algorithm for scheduling and optimization of virtual machines in a cluster of Physical hosts. We developed the algorithm based on two different methods, first initial VM packing is done by checking the load of the physical host and the user constraints of the VMs. Second optimization of placed VMs is done by using a hybrid genetic algorithm based on fitness function. Our simulation results show that the proposed algorithm outperforms existing methods and enhances the rate of resource utilization through accommodating more number of virtual machines in a physical hos

Study on Physico- Chemical Parameters and Structural Characterization of Soils in Pudukkottai District of Tamilnadu, India

The soil is the most important constituent to fulfilment of all the basic needs of human beings and also is an important component of our farming. The study was conducted with the main objective to investigate the soil samples of Pudukkottai district of Tamil Nadu for its physico-chemical analysis and structural characterization. The collected soil samples were analyzed for its pH, EC, Nitrogen, Phosphorus, Potassium, Zinc and Iron. Besides, the sample was characterized by FTIR studies for structural conformation. From the study the results revealed that the collected soil was red soil and its texture was sandy clay loam. The soil pH was 9.29 which was alkaline and the EC was 0.02 dSm-1. The available macro-nutrients as nitrogen, phosphorus and potassium for paddy field soil samples had 118, 11 and 160 kg/ha respectively. Micronutrients Nutrients also analyzed. FT-IR spectrum of soil was recorded spectrum of soil was shown the C-H deformation vibrations occur at 1402. The C=C Stretching vibrations occur at 1644 and the N-H Stretching vibrations occur at 2344. Management options to improve the soil fertility were discussed

The 2021 FASEB science research conference on NAD metabolism and signaling

publishedVersio

Nuclear Receptor HNF4α Binding Sequences are Widespread in Alu Repeats

<p>Abstract</p> <p>Background</p> <p>Alu repeats, which account for ~10% of the human genome, were originally considered to be junk DNA. Recent studies, however, suggest that they may contain transcription factor binding sites and hence possibly play a role in regulating gene expression.</p> <p>Results</p> <p>Here, we show that binding sites for a highly conserved member of the nuclear receptor superfamily of ligand-dependent transcription factors, hepatocyte nuclear factor 4alpha (HNF4α, NR2A1), are highly prevalent in Alu repeats. We employ high throughput protein binding microarrays (PBMs) to show that HNF4α binds > 66 unique sequences in Alu repeats that are present in ~1.2 million locations in the human genome. We use chromatin immunoprecipitation (ChIP) to demonstrate that HNF4α binds Alu elements in the promoters of target genes (<it>ABCC3, APOA4, APOM, ATPIF1, CANX, FEMT1A, GSTM4, IL32, IP6K2, PRLR, PRODH2, SOCS2, TTR</it>) and luciferase assays to show that at least some of those Alu elements can modulate HNF4α-mediated transactivation <it>in vivo </it>(<it>APOM, PRODH2, TTR, APOA4</it>). HNF4α-Alu elements are enriched in promoters of genes involved in RNA processing and a sizeable fraction are in regions of accessible chromatin. Comparative genomics analysis suggests that there may have been a gain in HNF4α binding sites in Alu elements during evolution and that non Alu repeats, such as Tiggers, also contain HNF4α sites.</p> <p>Conclusions</p> <p>Our findings suggest that HNF4α, in addition to regulating gene expression via high affinity binding sites, may also modulate transcription via low affinity sites in Alu repeats.</p

Functional analysis of tyrosine residues in human hepatocyte nuclear factor 4alpha

Hepatocyte nuclear factor 4α (HNF4α), a member of the nuclear receptor superfamily of ligand-dependent transcription factors, is critical for the development and function of the liver, kidney, pancreas and gastrointestinal tract. HNF4α is classically associated with normal cellular differentiation in these tissues, but there is an increasing body of literature suggesting that HNF4α may also play a role in cancer. Human HNF4α exists as six different transcriptional variants (isoforms) due to alternate promoter usage and splicing. Isoforms HNF4α 1-3 are derived from the P1 promoter, whereas isoforms HNF4α7-α9 are from the P2 promoter which is ∼45 kb upstream of P1. The expression and activity of HNF4α is tightly regulated by post-translational modifications, in response to external and internal stimuli. This thesis examines one such modification, namely phosphorylation of tyrosine residues. To elucidate the importance of tyrosine residues in regulating the activity of HNF4α, we mutated each of the 13-tyrosine residues to phenylalanine (function blocking) and glutamic acid (phosphomimetic mutant). In Chapter 2, we show that the tyrosine residues in the DNA binding domain (DBD) (Tyr63 and Tyr85) are critical for DNA binding and transcriptional activity of HNF4α. In addition, we show that phosphomimetic double mutant in the ligand binding domain (LBD) (Y277, Y279) has an effect on the DNA binding, transactivation, nuclear localization and protein stability of HNF4α. To further validate the results obtained using the tyrosine mutants we identified the tyrosine kinases that phosphorylate human HNF4α in the DBD and LBD. In Chapter 3, we found that Src phosphorylates P1-driven HNF4α sequentially at Tyr14, Tyr277 and Tyr279. Due to the absence of Tyr14 in the P2-driven HNF4α, Src phosphorylates P2-driven HNF4α less than the P1 isoforms. In addition, phosphorylation of P1-driven HNF4α leads to the cytoplasmic localization and proteasomal degradation. Interestingly, in Chapter 4, we found that Src decreases the transcriptional activity of both P1- and P2-driven HNF4α. We show that this transcriptional repression is dependent on the kinase activity and SH3 binding of Src, and A/B and F domain of HNF4α have opposing effects on the Src-mediated transcriptional repression. We also show that Abl, a tyrosine kinase closely related to the Src family of kinases and a downstream target of Src, phosphorylates HNF4α in the DBD and decreases its transcriptional activity. We propose that Src activation of Abl is responsible for the effect of Src on the function of both P1- and P2-driven HNF4α isoforms. In the concluding Chapter 5, we relate our findings to human liver and colorectal cancer and propose that the isoform-specific phosphorylation by Src could be the basis for the dysregulation of HNF4α isoforms during cancer