Gitosree Khan

Web service discovery in enterprise cloud bus framework: T vector based model

In recent days, with the advancement of cloud computing the usage of Web services has increased rapidly. Therefore, discovery of services has become one of the challenging activities nowadays for the service consumers. In this paper we propose a dynamic service discovery methodology based on term vector space model. The proposed mechanism supports the identification of service during its run time in Enterprise Cloud Bus (ECB) systems. We also proposed an algorithm called SDTVS for dynamic service discovery that supports functional aspects of Web service. Further it allows various considerations between the accuracy of discovery results and the efficiency of the service discovery process. Here, the mathematical aspects of SDTVS are also discussed.

WSRM: A Relational Model for Web Service Discovery in Enterprise Cloud Bus (ECB)

The number of web services has been increased rapidly and thereby discovering the services in cloud computing has become a challenge for the service consumers. As a result, Service discovery and mapping have become even more challenging due to different service descriptions, conventions, heterogeneous types and features of Cloud services. Service discovery has been identified as a key activity for service-based systems. In this paper we propose a framework for dynamic service discovery and mapping that supports the identification of service during its run time in Enterprise Cloud Bus (ECB) systems. Here, we present a Web Service Relational Model (WSRM) for distributed service discovery that supports functional aspects of Web service and allow various trade-offs between the accuracy of discovery results and the efficiency of the service discovery process. The implementation aspects using SQL of WSRM are also discussed.

Performance analysis of service discovery for enterprise cloud bus (ECB)

Service oriented architecture (SOA) is an architectural paradigm for building enterprise service applications that use services available in a cloud computing environment. In recent days, with the advancement of cloud computing the usage of Web Services has increased rapidly. Therefore, service discovery has become one of the essential challenging factors nowadays for the service consumers. This paper proposes an implementation of dynamic service discovery based on term vector space model using mathematical tool, called MATLAB 7.12. Here, the performance analysis of the proposed model is also describes to support discovering servicers in heterogeneous environments, and show that proposed system performs efficient and scalable in terms of fast searching.

Modeling of services and their collaboration in enterprise cloud bus (ECB) using UML 2.0

Cloud computing refers to a web service model that delivers on demand based services over the network. Agent based Cloud computing technology has gained more importance recently due to the rapid increase in no of clouds and their services. Modeling and Design methodologies for agent based cloud infrastructure has been a challenging domain. In this paper we propose to model the interaction and collaboration of services in an agent based abstraction framework, called Enterprise Cloud Bus (ECB), using UML 2.0. ECB is an abstraction layer of SaaS architecture, and it is modeled using UML 2.0 focusing on service interaction, service collaboration, service discovery, service scheduling and service dispatching.

Formal Modeling of Enterprise Cloud Bus System: A High Level Petri-Net Based Approach

The chapter focuses on an abstraction layer of SaaS architecture for multi-agent-based inter-cloud environment, called Enterprise Cloud Bus System (ECBS) to conceptualize the different behavioral facets of such system in service and cloud computing paradigm. The model is formalized using a set of high level Petri-net-based formal constructs called High Level Enterprise Cloud Bus Petri-net (HECBP) with varieties of relationship types among participation cloud bus components. It is accompanied with a rich set of Petri-net graphical notations and those are used to specify the effective toward modeling interactions among the heterogeneous agent present within the cloud bus of ECBS at conceptual level design of multi cloud system. The approach facilitates to analyze the behavioral features of inter-cloud architecture and modeled its dynamics at the conceptual level. The HECBP is also able to ensure correctness and performance of the system at design time by focusing on meeting the increasing demands for distributed software as a service and making the system functionality more scalable, configurable, and shareable. This chapter includes modeling of several behavioral facets like, fairness, boundedness , liveliness , safeness , etc., in a dead lock-free way. Moreover, this chapter provides a discussion on state-space analysis study, which further validates the theoretical analysis of HECBP model and future research scope in this area.

Modeling and Analysis of Enterprise Cloud Bus Using a Petri Net Based Approach

Agent based Cloud computing technology has become a predominant domain nowadays due to rapid increase in enterprise service applications that are built from various services offered by different cloud service providers. In our previous work, we have proposed an abstraction layer of SaaS architecture for Inter-cloud environment, called Enterprise Cloud Bus System (ECBS) and modeled it using Unified Modeling Language (UML). In this work, we have proposed a conceptual architecture of Multi-agent based Enterprise Cloud Bus System (ECBS) and modelled its dynamics using Petri Net (ECBP) based approach. The proposed approach will be beneficial for analyzing low level Petri Nets of any cloud based models and has the advantage of being able to model dynamic facets of the Multi-agent based cloud system that can handle multiple agent operations and its execution logics. Further, the proposed ECBP model is capable to analyze the behavioral facets of Enterprise Cloud Bus System like, fairness, boundedness, liveliness, safeness, etc. in a dead lock—free environment.

A Probabilistic Model for Analysis and Fault Detection in the Software System: An Empirical Approach

Software reliability and estimation of defects plays an important role in software testing stage. For studying defects, one common practice is to inject faults in subject software, either manually or by using a program that generates all possible mutants based on a set of mutation constraints. Getting the optimized results for the software system while predicting defects using realistic analysis, and confirming whether that leads to valid and consistent data during software testing stage is a challenge. In this paper, we propose Process simulation Model (PSM), which is a probabilistic model-based approach that overcomes these challenges and enables prediction of software defects and its impact in the system using Bayesian estimation. Moreover, a Fault Detection Algorithm FDA is derived from PSM model that helps to predict software faults for different deterministic problems that we have taken in our experimental study to demonstrate the reliability, verification and consistency of the system. A comparative study is shown on various deterministic problems by finding set of random defects through probabilistic approach the fault may occur in the proposed software model.

A graph semantic based approach for modeling of enterprise cloud bus system dynamics

Cloud computing refers to a distributive model that deliver web services over the network dynamically so that the consumers can access the services from anywhere on demand basis depending on the Quality of Service (QoS) requirements. Nowadays, Agent based Cloud computing technology plays a vital role in modeling of roles, collaborations and interactions among the cloud components and their services. Enterprise Cloud Bus System (ECBS) is such an Agent-based Cloud computing model that helps to deliver services in a virtualized manner by optimizing the QoS parameters. This model also helps the enterprise software applications to be more reliable and robust in recent days. Design and Modeling of Multi-Agent based Cloud System dynamics has become a challenging domain in recent trends. In our previous work, we have modeled the system dynamics using UML 2.0 which focus on interactions and collaborations of cloud bus components. But, the interactions and collaborations of cloud bus components using UML extension cannot be considered as semantically rich conceptual and formalized model for behavioral analysis and design of such system. To conceptualize the dynamic facets of ECBS this paper deals with modeling of roles, interactions and collaborations of Multi-agent based Inter-cloud bus components. In this paper, a graph semantic based approach called Multi-Agent Cloud Bus Architecture Graph (MACBAG) has been proposed for effective modeling and design of dynamic aspects of such MAS based Inter-cloud architecture.