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        Enhanced Cloud Service Discovery for Naive users with Ontology based Representation

        ( Viji Rajendran V ),( Swamynathan S ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.1

        Service discovery is one of the major challenges in cloud computing environment with a large number of service providers and heterogeneous services. Non-uniform naming conventions, varied types and features of services make cloud service discovery a grueling problem. With the proliferation of cloud services, it has been laborious to find services, especially from Internet-based service repositories. To address this issue, services are crawled and clustered according to their similarity. The clustered services are maintained as a catalogue in which the data published on the cloud provider`s website are stored in a standard format. As there is no standard specification and a description language for cloud services, new efficient and intelligent mechanisms to discover cloud services are strongly required and desired. This paper also proposes a key-value representation to describe cloud services in a formal way and to facilitate matching between offered services and demand. Since naive users prefer to have a query in natural language, semantic approaches are used to close the gap between the ambiguous user requirements and the service specifications. Experimental evaluation measured in terms of precision and recall of retrieved services shows that the proposed approach outperforms existing methods.

      • KCI등재

        Cluster-Chain Mobile Agent Routing Algorithm for Efficient Data Aggregation in Wireless Sensor Network

        Selvakumar Sasirekha,Sankaranarayanan Swamynathan 한국통신학회 2017 Journal of communications and networks Vol.19 No.4

        The sensor nodes have limited sensing, computation,communication capabilities and are mostly operated by batteriesin a harsh environment with non-replenishable power sources. These restrictions make the sensor network prone to failures becausemost of the energy is spent on data transmission, sensing, andcomputing. Many applications such as habitat monitoring, militarysurveillance and forest fire detection expect the sensor nodes to lastfor a long time because they operate human unattended. Therefore,the major challenges in designing a wireless sensor network (WSN)are energy conservation, reducing data transmission delay and improvingthe network lifetime. In this context, data aggregation is anintelligent technique used in WSN, wherein the data from disparatesources are accumulated at intermediate nodes, thereby reducingthe number of packets to be sent to the sink. Literature studyshows that various routing algorithms are used to perform dataaggregation based on the network topology. In order to provide animproved performance amongst the existing, a routing algorithmcalled cluster-chain mobile agent routing (CCMAR) is proposedin this work. It makes full use of the advantages of both low energyadaptive clustering hierarchy (LEACH) and power-efficientgathering in sensor information systems (PEGASIS). CCMAR dividesthe WSN into a few clusters and runs in two phases.The proposedsystem is simulated and evaluated for the performance metricssuch as energy consumption, transmission delay and networklifetime. The results demonstrate that the proposed CCMAR outperformsLEACH, PEGASIS and other similar routing algorithm,energy efficient cluster-chain based protocol.

      • KCI등재

        Impacts of Soil Microbial Populations on Soil Chemical and Biological Properties under Tropical Dry Evergreen Forest, Coromandel Coast, India

        Sudhakaran M,Ramamoorthy D,Swamynathan B,Ramya J 강원대학교 산림과학연구소 2014 Journal of Forest Science Vol.30 No.4

        There are very few studies about soil chemical and biological properties under tropical dry evergreen forest Coromandel Coast, India. The present study was conducted in six tropical dry evergreen forests sites such as Oorani, Puthupet, Vadaagram, Kotthatai, Sendrakillai and Palvathunnan. We measured the quantity of soil chemical, biological properties and selected soil microorganisms for investigating the impacts of soil microbial populations on soil chemical and biological properties. The result showed that total N, P, Ca, S, Fe, Mn, Cu, Co, exchangeable K, Olson P, extractable Ca and phosphobacterial population were higher in the soil from Kothattai forest site. Organic carbon, total Mg, extractable Na, soil respiration, β-glucosidase activity, bacterial population, fungi population and actinomycetes population were higher in the soil from Palvathunn forest site. Total K, NH4 +-N, NO3 −-N, exchangeable K, extractable Ca, extractable Na, azotobacter population, bacillus population and rhizobacteria population were higher in the soil from Sendrakillai. Beijerinckia population, rhizobacteria and soluble sodium were higher in Puthupet forest soil. Total Si, total Na and exchangeable K were higher in soil from Oorani forest site. Total Mo and exchangeable K were higher in the soil from Vadaagaram forest site. The results showed that organic carbon, total N, NH4 +-N, NO3 −-N, extractable P, extractable Ca, soil respiration and β-glucosidase were significantly correlated with soil microbial populations. Therefore soil microorganisms are important factor for maintaining soil quality in tropical dry evergreen forest.

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