Manoranjan Parhi

A Multi-agent-Based Framework for Cloud Service Description and Discovery Using Ontology

The spectrum of cloud service providers has become large these days with increasing popularity of cloud computing as a service. These services appear to be similar in their approaches excepting that they vary in their key attributes such as price, computational power, and storage policy. As of now, there are no standardized specifications defined for a cloud service provider. Different cloud service providers use different vocabulary to specify similar operations. A number of quality of service (QoS) parameters may be associated with a service, and thus, identification of the appropriate parameter and its management is the vital issue that needs to be addressed by the service provider. In this context, the search engines such as Google, MSN, etc., do not represent the most effective and most efficient tools in order for determining the appropriate cloud service that could optimally meet the service requirements of a customer. It remains as a challenging issue for a customer requesting for a cloud service. Thus, there arises the necessity of a reasoning mechanism for service discovery that is capable of resolving the similarities among variety of services. In this paper, we address a semantic-based service description and discovery framework using multi-agent approach, where the cloud service descriptions that are automated based on shared ontology, contribute to optimal discovery of appropriate services as requested by consumers.

An effective mechanism to discover sensor web registry services for wireless sensor network under x-SOA approach

The application of WSN is emerging as a new trend in different sphere of modern society. However due to the advancement of SWE, discovering sensor web registry services throughout heterogeneous environments is becoming a challenging task and raises several concerns like performance, reliability, and robustness. Many approaches and frameworks have been proposed to discover the sensor web registry services. Some of the approaches assume that the requests are placed in SOAP compatible formats while others focus on GUI based parametric query processing. We have formulated an approach that uses the Natural Language Query Processing which is a convenient and easy method of sensor data access in comparison to SQL or XML based Query Language like XQuery and XPath. We also propose an architecture based on x-SOA that organizes the method of sensor web registry service discovery in an efficient and structured manner using an intermediary, requester friendly layer called the Request Parser & Query Generator (RPQ) between the service provider and service requester via a service registry. We describe how RPQ facilitates the processing of plain text request query to a most appropriate sensor web service and also an algorithm with implementation for a complete cycle of sensor web registry service discovery.

Service Composition Using Efficient Multi-agents in Cloud Computing Environment

In today’s Internet world, end users need everything as a service (EaaS) being available to them throughout the world. Keeping users in the centre, developers are emplaning cloud computing environment which can satisfy needs of users virtually. Cloud computing is a collection of Web-accessible resources (i.e. Web services) that should be dynamically composed between service providers and brokers and virtualized based on consumer’s needs on an on-demand basis. Mapping of the users’ requirements should be done in an automated manner. But, distributed and constantly changing cloud computing environments pose new challenges to automated service composition such as: (i) dealing with incomplete information regarding cloud resources (e.g. location and providers), and (ii) dynamics of service providers, which set service fees on a supply-and-demand basis. To address these issues, we have proposed a multi-agent-based approach to compose services in multi-cloud environments for different types of cloud services: one-time virtualized services, persistent virtualized services, vertical services, and horizontal services. Cloud participants and resources are implemented and instantiated by agents. Previously the researchers have proposed self-organizing agents those make use of Service Capability Table and the semi-recursive contract net protocol (SR-CNP) to evolve and adapt cloud service compositions. To the existing work, we have planned to modify some of agents’ behaviours, as a result we can reduce number of message passing by half in order to increase overall performance. Also we are planning a 2-layered (3 levels of multi-agents) self-organizing MAS that will establish a cloud service composition.

Discovery of sensor web registry services for WSN with Multi-layered SOA framework

Sensor Web Services has potential usage in a wide range of application domain. However due to advancement of OGC SWE standard, there are still challenges left that has to be addressed within the context of discovery of Sensor Web Registry services throughout heterogeneous environment which raises several concerns like performance, reliability, and robustness. Many approaches and frameworks have been proposed to discover the sensor web registry services and some of the approaches assume that the requests are placed in SOAP compatible formats while others focus on GUI based parametric query processing. In this paper an approach has been proposed that uses the Natural Language Query Processing which is a convenient and easy method of sensor data access in comparison to SQL or XML based Query Language like XQuery and XPath. An architecture based on Multi-layered SOA Framework that organizes the method of sensor web registry service discovery in an efficient and structured manner has been suggested by adding some new layers like Request Parser & Query Generator (RPQ), Service Verifier and Certifier (SVC) and Service Rank Calculator (SRC). A typical weather sensor web service discovery where RPQ facilitates the processing of plain text request query to a most appropriate weather sensor web service and also an algorithm with implementation for a complete cycle of suitable sensor web registry service discovery according to requesters functional and QoS requirements has been provided.

Robust Virtual Keyboard for Online Banking

Current authentication practices suffer from many loopholes. To access an online banking facility, a customer with Internet access would need to register with the institution for the service, and set up some password for authentication process. Basically there are two types of password inputs allowed by banking websites these days. The first one is the traditional input in which we enter the password using keyboards and the second one is the virtual input in which the system accepts password using a virtual keyboard available in login pages of all bank websites. Virtual keyboards are considered as additional security steps for accessing online banking websites but this paper will describe how weak this implementation can be and what security measures can be adopted to maintain the confidentiality. General Terms Social Engineering Attack, Shoulder Surfing, Virtual Keyboard, Security, Algorithms

An Automated Semantically Enabled Fuzzy Based SLA in Cloud Computing Environment Using Multi-agent System

In order to make reservations for cloud services, consumers and providers need to work on Service Level Agreements (SLAs) to achieve negotiation. Since cloud computing represents a category of distributed system, negotiation should be established between service providers and consumers in a faster and reliable manner. Automated Negotiation is such a process that is closely associated with Multi-agent Systems. We propose A Negotiation system using fuzzy ontology is addressed by us in this research work where the cloud service specification and consumer requirements with vagueness are stored on cloud ontology. Here, each party needs to choose its own agent in order for negotiation. Agents have both consumer’s and provider’s details and their hard and soft preferences for a particular service. Agents need to negotiate on the basis of a set of Quality of Service (QoS) parameters like duration, availability, price etc. as required by the user. On completion of the negotiation process, user receives a feedback from the agent regarding the probability of negotiation. This negotiation framework is dynamic and efficient in nature.

A multi-agent-based framework for cloud service discovery and selection using ontology

As cloud computing is getting matured day by day, there has been overwhelming interest among the users to avail a plethora of cloud services. Often, these services appear identical in terms of their functionality though they differ in pricing models, computational power, storage policies and Quality-of-Service parameters making the process of service discovery and selection an intricate task. In the absence of any standard specifications, cloud service providers continue to use their own vocabulary and this further complicates the selection process. Even popular search engines like Google and MSN are not efficient enough to properly identify the most appropriate cloud service that can meet customer requirements. Thus, in the presence of multiple selection parameters and constraints, selecting a required cloud service is a daunting task. In order to address this issue, we work toward developing a reasoning mechanism to optimally resolve the similarities across cloud services by using cloud ontology. A multi-agent-based framework has been proposed for effective cloud service discovery and selection with the help of a standardized service registry and by employing semantically guided searching process.

A Semantic Search Engine to Discover and Select Sensor Web Services for Wireless Sensor Network

Sensor Web Services are the most emerging distributed applications and have potential usage in a wide range of application domain. The semantic based sensor service discovery is proposed to enhance the discovery of sensor services. sensor web service generates a large number of heterogeneous raw data, so it’s a big challenge now-a-days to organize these raw data using various techniques so as to make the discovery and the selection easy and efficient. This paper extends the functionality of UDDI by introducing semantic description which is stored in the semantic repository at the same time the service gets registered. To provide the requested services a match maker is usually required. The match making algorithm in this paper is a generic semantic discovery algorithm which is not restricted only to the keyword based search rather is used to find the best possible services and the selection of the right service for the right user.

An efficient technique to discover sensor web registry services for WSN with QoS based Multi-layered SOA framework

Recently Wireless Sensor Network Services have potential usage in a wide range of application domain. However due to the solid and mature advancement of SWE standard, there is still one challenge is left that has to be addressed within this context i.e. discovery of Sensor Web Registry services throughout heterogeneous environment which raises several concerns like performance, reliability, and robustness. Many approaches and frameworks have been proposed to discover the sensor web registry services. Some of the approaches assume that the requests are placed in SOAP compatible formats while others focus on GUI based parametric query processing. We have formulated an approach that uses the Natural Language Query Processing which is a convenient and easy method of sensor data access in comparison to SQL or XML based Query Language like XQuery and XPath. We propose an architecture based on Multi-layered SOA Framework that organizes the method of sensor web registry service discovery in an efficient and structured manner by adding some new layers like Request Parser & Query Generator(RPQ), Service Verifier and Certifier (SVC) and Service Rank Calculator(SRC). We describe a typical weather sensor web service discovery where RPQ facilitates the processing of plain text request query to a most appropriate weather sensor web service and also an algorithm with implementation for a complete cycle of suitable sensor web registry service discovery according to requesters functional and QoS requirements.