Parallel Continuous Double Auction for Service Allocation in Cloud Computing

Cloud Computing is a service oriented architecture in which every computing resources is delivered to users as a service. Nowadays market-oriented approach has attracted a lot of researchers because of its great ability to manage Cloud services efficiently and dynamically. Each service consists of various resources which all should be allocated to utilize the service. In this paper a parallel continuous double auction method for efficient service allocation in cloud computing is presented in which by using a novel parallel sorting algorithm at auctioneer, enables consumers to order various resources as workflow for utilizing requested services efficiently. Also in the presented method consumers and providers make bid and offer prices based on time factor. Experimental results show that proposed method is efficient in success rate, resource utilization and average connection time and also overall performance of system is improved by parallel approach

Evaluation of type IV pilin sub groups in Pseudomonas aeruginosa isolated from environmental samples, cystic fibrosis and burn patients

Background and Aim: Type IV pilin molecule in Pseudomonas aeruginosa with wide functions, has important role in the diversity of the bacterial genome.  According to the latest classification, Type IV pilin is divided to two main subtypes; IVa, IVb. The major subunit encoding Type IV pilin subtypes; IVa, IVb is pilA and pilS2 genes respectively which serve as a marker for the detection of the Type IV pilin subtypes. The purpose of the current study was to evaluate the frequency of pilA and pilS2 gene in cystic fibrosis, burns, and environmental isolates. Materials and Methods: The samples for P.aeruginosa were collected from cystic fibrosis, burns, and environment wastewater during the April 2013 to December 2013. Samples were cultured and identified using microbial and biochemical methods. DNA of isolates was extracted by commercial kit. PCR was performed using specific primers. Statistical analysis was done using SPSS 17.0 software. Results: A total of 100 P.aeruginosa isolates were collected; 30 cystic fibrosis, 30 burn, 40 environmental. The prevalence of the  pilA gene were 63.3% , 56.7% and 45/2%  for cystic fibrosis, for burns  and environmental strains . The PilS2 gene frequency was 57.5% of the environmental isolates, 67.5% of cystic fibrosis strains and 73.3 % of the isolates were burned. Conclusions: Our study showed that the frequency of P.aeruginosa T4P major pilin subunits in our P. aeruginosa population was high. The incidence of pilS2 gene was greater than pilA and was more frequent in Pseudomonas aeruginosa isolated from hospitalized burn patients