Faculty Publications

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Publications by NITK Faculty

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    Active probing based end to end internet path metrics estimation tool
    (2006) Suryanarayana, V.; Chandra Sekaran, K.C.
    This paper considers the problem of measuring the various network path metrics such as Connectivity, Capacity, bandwidth, available bandwidth etc. of a network path using probing-based methods. To that end, we propose a new model called an Integrated Metrics Measurement Model (IMMM) to measure all possible performance metrics. It will be designed to probe the network non-intrusively so that the measurements will not disturb the stability of the network. The experimental results of our partial implementation of the proposed model are presented. © 2006 IEEE.
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    A review of QoS driven optimal selection of web services for compositions
    (2012) D’Mello, D.A.; Ananthanarayana, V.S.
    Web services technology promises to enable rich, flexible and dynamic interoperation of highly distributed and heterogeneous applications using Web standards. The providers of composite Web services involving composition plan with different flow patterns need to discover and select suitable candidate Web services for each task of the composition plan at runtime. The dynamic nature of Web services prompts a need for the mechanism to enable the frequent editing of QoS offers of composite Web services by the Composite Service Providers (CSP). In this paper, the authors present a detailed survey of literature in QoS based selection for Web service compositions. The paper also presents different architectures for QoS aware Web service compositions and evaluates various QoS aware selection techniques. The authors classify QoS aware selection techniques for composition based on the nature of composition plan, complexity of QoS requirements and nature of techniques/methodology used in the selection and QoS aggregation. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2012.
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    A quality-centric scheme for web service ranking using fuzzified QoS parameters
    (Springer Verlag service@springer.de, 2018) Shaha, M.; Kamath S․, S.
    Service composition, the process of combining already available basic services to provide a new, enhanced functionality, helps in serving diverse user requirements and promotes rapid application deployment. One of the premises for achieving service composition is to consider the quality of service parameters like availability, response times etc., of the constituent services, so that effective ranking can be obtained. However, based on user need, multiple criteria may need to be considered during QoS-based ranking, due to which it may be difficult to provide accurate and precise values with respect to a particular QoS parameter. In this paper, we address this problem by incorporating the theory of fuzzy logic using fuzzy variables. We propose a new scheme that focuses on computing the combined values of various QoS parameters, for enhancing web service recommendation. The proposed scheme has been applied to the real-world datasets, with encouraging results. © Springer Nature Singapore Pte Ltd. 2018.
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    Semantic web service selection based on service provider's business offerings
    (2009) D’Mello, D.A.; Ananthanarayana, V.S.
    Semantic Web service discovery finds a match between the service requirement and service advertisements based on the semantic descriptions. The matchmaking mechanism might find semantically similar Web services having same matching score. In this paper, the authors propose the semantic Web service selection mechanism which distinguishes semantically similar Web services based on the Quality of Service (QoS) and Business Offerings (BO). To realize the semantic Web service discovery and selection (ranking), we propose the semantic broker based Web service architecture which recommends the best match for the requester based on the requested functionality, quality and business offerings. The authors design the semantic broker which facilitates the provider to advertise the service by creating OWL-S service profile consisting information related to functionality, quality and business offerings. After the service advertisement, the broker computes and records matchmaking information to improve the performance (service query time) of discovery and selection process. The broker also reads requirements from the requester and finds the best (profitable) Web service by matching and ranking the advertised services based on the functionality, capability, quality and business offering.
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    Quality and business offer driven selection of web services for compositions
    (2009) D’Mello, D.A.; Ananthanarayana, V.S.
    The service composition makes use of the existing services to produce a new value added service to execute the complex business process. The service discovery finds the suitable services (candidates) for the various tasks of the composition based on the functionality. The service selection in composition assigns the best candidate for each tasks of the pre-structured composition plan based on the non-functional properties. In this paper, we propose the broker based architecture for the QoS and business offer aware Web service compositions. The broker architecture facilitates the registration of a new composite service into three different registries. The broker publishes service information into the service registry and QoS into the QoS registry. The business offers of the composite Web service are published into a separate repository called business offer (BO) registry. The broker employs the mechanism for the optimal assignment of the Web services to the individual tasks of the composition. The assignment is based on the composite service providers's (CSP) variety of requirements defined on the QoS and business offers. The broker also computes the QoS of resulting composition and provides the useful information for the CSP to publish thier business offers. © 2009 Springer Berlin Heidelberg.
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    Dynamic selection mechanism for quality of service aware web services
    (2010) D’Mello, D.A.; Ananthanarayana, V.S.
    A web service is an interface of the software component that can be accessed by standard Internet protocols. The web service technology enables an application to application communication and interoperability. The increasing number of web service providers throughout the globe have produced numerous web services providing the same or similar functionality. This necessitates the use of tools and techniques to search the suitable services available over the Web. UDDI (universal description, discovery and integration) is the first initiative to find the suitable web services based on the requester's functional demands. However, the requester's requirements may also include non-functional aspects like quality of service (QoS). In this paper, the authors define a QoS model for QoS aware and business driven web service publishing and selection. The authors propose a QoS requirement format for the requesters, to specify their complex demands on QoS for the web service selection. The authors define a tree structure called quality constraint tree (QCT) to represent the requester's variety of requirements on QoS properties having varied preferences. The paper proposes a QoS broker based architecture for web service selection, which facilitates the requesters to specify their QoS requirements to select qualitatively optimal web service. A web service selection algorithm is presented, which ranks the functionally similar web services based on the degree of satisfaction of the requester's QoS requirements and preferences. The paper deffnes web service provider qualities to distinguish qualitatively competitive web services. The paper also presents the modelling and selection mechanism for the requester's alternative constraints defined on the QoS. The authors implement the QoS broker based system to prove the correctness of the proposed web service selection mechanism. © 2010 Taylor & Francis.
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    Dynamic web service composition based on operation flow semantics
    (2010) D’Mello, D.A.; Ananthanarayana, V.S.
    Dynamic Web service composition is a process of building a new value added service using available services to satisfy the requester's complex functional need. In this paper we propose the broker based architecture for dynamic Web service composition. The broker plays a major role in effective discovery of Web services for the individual tasks of the complex need. The broker maintains flow knowledge for the composition, which stores the dependency among the Web service operations and their input, output parameters. For the given complex requirements, the broker first generates the abstract composition plan and discovers the possible candidate Web services to each task of the abstract composition plan. The abstract composition plan is further refined based on the Message Exchange Patterns (MEP), Input/Output parameters, QoS of the candidate Web services to produce refined composition plan involving Web service operations with execution flow. The refined composition plan is then transferred to generic service provider to generate executable composition plan based on the requester's input or output requirements and preferences. The proposed effective Web service discovery and composition mechanism is defined based on the concept of functional semantics and flow semantics of Web service operations. © 2010 Springer-Verlag Berlin Heidelberg.
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    Dynamic partner selection in Cloud Federation for ensuring the quality of service for cloud consumers
    (World Scientific Publishing Co. Pte Ltd wspc@wspc.com.sg, 2017) Thomas, M.V.; Chandrasekaran, K.
    Cloud Computing has become the popular paradigm for accessing the various scalable and on-demand computing services over the internet. Nowadays, individual Cloud Service Providers (CSPs) offering specialized services to the customers collaborate to form the Cloud Federation, in order to reap the real benefits of Cloud Computing. By collaboration, the member CSPs of the federation achieve better resource utilization and Quality of Service (QoS), thereby increasing their business prospects. When a CSP runs out of resources in the Cloud Federation, in order to offload the customer requests for resources to other CSP(s), identifying a suitable partner is a challenging task due to the lack of global coordination among them. In this paper, we propose the design and implementation of an efficient partner selection mechanism in the Cloud Federation, using the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods, and also considering the trust values of various CSPs in the federation. The AHP method is used to calculate the weights of the QoS parameters used in the TOPSIS method which is used to rank the various CSPs in the Cloud Federation according to the user requirements. Simulation results show the effectiveness of this approach in order to efficiently select the trustworthy partners in large scale federations to ensure the required QoS to the cloud consumers. © 2017 World Scientific Publishing Company.
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    An efficient cost optimized scheduling for spot instances in heterogeneous cloud environment
    (Elsevier B.V., 2018) Domanal, S.; Guddeti, G.
    In this paper, we propose a novel efficient and cost optimized scheduling algorithm for a Bag of Tasks (BoT) on Virtual Machines (VMs). Further, in this paper, we use artificial Neural Network to predict the future values of Spot instances and then validate these predicted values with respect to the current (actual) values of Spot instances. On-Demand and Spot are the key instances which are procured by the cloud customers and hence, in this paper, we use these instances for the cost optimization. The key idea of our proposed algorithm is to efficiently utilize the cloud resources (mainly VMs instances, Central Processing Unit (CPU) and Memory) and also to optimize the cost of executing the BoT in the heterogeneous Infrastructure as a Service (IaaS) based cloud environment. Experimental results demonstrate that our proposed scheduling algorithm outperforms state-of-the-art benchmark algorithms (Round Robin, First Come First Serve, Ant Colony Optimization, Genetic Algorithm, etc.) in terms of Quality of Service (QoS) parameters (Reliability, Time and Cost) while executing the BoT in the heterogeneous cloud environment. Since the obtained results are in the form of ordinal, hence we carried out the statistical analysis on both predicted and actual Spot instances using the Spearman's Rho Test. © 2018 Elsevier B.V.
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    ETRT – Cross layer model for optimizing transmission range of nodes in low power wireless networks – An Internet of Things Perspective
    (Elsevier B.V., 2018) Sarwesh, P.; Shet, N.S.V.; Chandrasekaran, K.
    Internet of Things network is managed by battery operated devices and low power radio links since they are referred to low power networks. In present communication era, many research works are concentrating on low power wireless network. Cross layer design is one of the acclaimed technique that decidedly improves the network performance. In this article, we come up with the cross-layer model that satisfies distinct network requirements and prolongs network lifetime. It integrates physical layer, data link layer (Media Access Control) and network layer in the protocol stack. In our model, a threshold value called ETRT (Expected Transmission Range Threshold) is introduced, which is computed with the help of routing information. Later, MAC based power control technique utilizes the ETRT value and assigns optimum transmission range for every node. The idea at the heels of proposed cross layer model is estimating the capability (ETRT value) of the particular node and assigning the suitable transmission power for every node, based on its capability (ETRT value). Hence, assigning optimum transmission power based on ETRT information prolongs the network lifetime with better reliability and Quality of Service(QoS). From our results, it is noticed that the ETRT based cross layer model performs twice better than the standard model. © 2018 Elsevier B.V.