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Articles by M. Vijayalakshmi
Total Records ( 9 ) for M. Vijayalakshmi
  K.J.P. Narayana and M. Vijayalakshmi
  A streptomycete strain, Streptomyces albidoflavus was isolated from soil and culture conditions were optimized for maximum production of α-amylase under submerged fermentation. The optimum period for maximum amylase production was found to be 84 h. The suitable pH and temperature for amylase activity were 6.5 at 30°C. The levels of α-amylase activity detected in culture filtrate varied greatly with type of carbon source used. Soluble starch stimulated α-amylase yield followed by trehalose and maltose. Nitrogen sources like yeast extract, tryptone, NaNO3, peptone and soybean meal were found to support the amylase production by the strain. The strain produced maximum amylase when medium contained starch and yeast extract at concentration of 1.5% (wt./vol.) and 0.2% (wt./vol.) respectively.
  K.J.P. Narayana and M. Vijayalakshmi
  Production of protease by Streptomyces albidoflavus isolated from laterite soil was studied under submerged fermentation. The strain started protease production after 24 h of incubation and maximum level of enzyme production was found with 72 h old culture. Attempts were made to optimize the cultural conditions for getting high yields of enzyme. The optimum levels of pH and temperature for enzyme production were 7.0 and 35°C respectively. Among carbon sources, maltose (1%) supported maximum production of protease followed by trehalose, glycerol, starch and glucose. High yield of protease was recorded in the medium supplemented with peptone (0.75%) followed by beef extract, casein, yeast extract, tryptone and NaNO3.
  P. Neelaveni and M. Vijayalakshmi
  Cloud backup service is the core technology of cloud storage. Cloud backup service is becoming the substantial component of the cloud storage due to emerging trend of user data. Data deduplication techniques are ideal solutions for reducing both bandwidth and storage space requirements for cloud backup services in data centres. The main challenges to be considered in cloud backup services when deduplication is applied are bandwidth, high throughput, computational overhead, deduplication efficiency, read and write efficiency, backup window size and transmission cost. Similarly, in cloud backup services, during virtualization process, deduplication can be done to reduce the storage amount consumed by virtual machine images. When deduplication is performed in VM images, there are issues like high duplicate tracking, space overhead and high computation power that has to be considered. This study investigates the benefits and overhead of various deduplication technique adopted to the cloud backup services.
  D. Ruby and M. Vijayalakshmi
  In cognitive radio relay networks, the resource allocation technique may result in increased power consumption and interference. In this study, we propose to design a fuzzy based resource allocation technique for cognitive radio relay networks. In this technique, a Proportional Fair Scheduling (PFS) based resource allocation is applied for all nodes in which node with good channel condition and high data rate is allocated more bandwidth. Then the adaptive transmit power adjustment algorithm used for optimal resource allocation. A Fuzzy Logic Decision (FLD) model is used for selecting the transmit power level based on the factors interference among relay nodes, transmission rate between relay and mobile node and predicted link availability. By simulation results, we show that the proposed technique reduces the energy consumption and link interference.
  S. Muthurajkumar , M. Vijayalakshmi and A. Kannan
  In a cloud computing, heterogeneous multi-core server processors are present across clouds and data storage centers. Therefore, the total performance of the cloud system can be optimized by providing effective and secured storage and retrieval methods. This paper proposes a new algorithm to optimize power and performance based on load distribution and balancing methods for cloud computing. The proposed algorithm performs performance optimization using speed, time, energy and security. This method has been implemented in a cloud environment and the efficiency of the proposed scheme is compared with the existing schemes and it is found the storage and energy are optimized.
  N. Senthamarai and M. Vijayalakshmi
  Cloud computing is a most popular technology because everything like hardware, platform and software are provided as a service. It is an improving area in research which includes load balancing, virtualization and storage etc. Load balancing distributes workloads across various resources such as computers, a computer cluster and network links. The load balancing is to optimize resource usage, maximize throughput, minimize response time and avoid overload. In a cluster system, allocating resources is a critical but challenging issue. A new load balancing policy named AMRA is used which attempts to partition jobs according to the user traffic and system load and improve the performance benefits. The idea of AMRA is to allocate the job to all the servers using the system loads as parameters and dynamically tune the job size boundaries based on the current user traffic loads. AMRA then directs the jobs whose job size lie in the same boundary size to the corresponding servers. AMRA always gives high priority to small jobs and send them to the less loaded servers. The algorithm evaluates the sequential and parallel jobs based on the inputs lang. This study mainly focuses on dynamically balanced load and increases the performance of the system and reduces the overhead.
  K.J.P. Narayana , M. Srikanth , M. Vijayalakshmi and N. Lakshmi
  To study the toxic spectrum of Aspergillus niger, phytotoxicity, cytotoxicity as well as antimicrobial activity were taken as the test criteria. Culture filtrates of A. niger exhibited phytotoxicity against onion and tomato by reducing seed germination and root elongation. The culture filtrates were also tested for cytotoxicity using onion root tip bioassay. Cytological aberrations such as enucleate cells, transfer of chromatin material between adjacent cells and binucleate cells were found in treated onion root tips. Culture filtrates of the fungus grown on yeast extract sucrose broth for one month was extracted with different solvents. Concentrated solvent extracts were tested for antimicrobial activity using disc diffusion method. Butanol and ethyl acetate extracts of the fungal culture filtrates exhibited antimicrobial activity.
  K.J.P. Narayana , V.V.K.V. Rao and M. Vijayalakshmi
  Cultural, morphological and physiological characteristics of Lechevalieria flava were studied. The strain exhibited sensitivity to different types of antibiotics. It could tolerate salt concentration upto 4%. The isolate had the ability to produce enzymes such as amylase, chitinase, protease and urease. Growth pattern and antimicrobial properties of the strain were studied in different media. Impact of various carbon and nitrogen sources on the production of bioactive metabolites was also investigated. The secondary metabolite from L. flava was found to be active against bacteria like Bacillus cereus, Escherichia coli, Pseudomonas aeruginosa and Staphylococcus aureus and fungi such as Candida albicans.
  M. Anupama , K.J.P. Narayana and M. Vijayalakshmi
  While screening the actinomycetes for bioactive metabolites, Streptomyces purpeofuscus was isolated from laterite soil. An attempt was made to screen S. purpeofuscus for the production of antimicrobial metabolites. The cell growth as well as antimicrobial metabolite production was studied on different culture media. Secondary metabolites from the strain were active against bacteria like Bacillus cereus, Pseudomonas aeruginosa, Escherichia coli and Staphylococcus aureus as well as fungi including Aspergillus flavus, A. niger and Penicillium citrinum.
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