Performance of Service-Oriented Architecture (SOA)

A service-oriented architecture is combination of services having different platforms for implementation. These services are combined, used by, and communicate with each other. The communication is done by massage or data passing. Communication is done by interacting with each other based on different platforms. Chronic diseases are long-term illness that require observation with heavy treatments by the doctors and special attention by family members. Chronic diseases are Alzheimer's disease, Addiction, Autoimmune diseases, Blindness, Rheumatoid arthritis, Chronic renal failure, Chronic Kidney Disease, Deafness and hearing impairment, Hypertension, Mental illness, Thyroid disease, Blood Pressure abnormalities.

Service-Oriented Framework for Advance Diagnosis of MSMEs Turning into NPAs

Banking Industry in India, a major section of which constitute of nationalized Banks, is facing three important challenges- to continue its contribution in rapid growth of Indian Economy, to make pace with the International Prudential Norms of Banking and Accounting Practices and to contain NPAs (Non-Performing Assets) and recover, which has reached an alarming Rs 6.0 lakhs crores. The bulk of Bank advances go to the large industries and big and established business houses, the major share of NPAs are attributed to them presently. The share of MSMEs (Micro, Small and Medium Enterprises), a priority sector of Indian economy, towards growing NPAs may need equal attention as they are in large numbers. Laying stress on strengthening legal framework to overcome this challenge not proving very effective, a service oriented architecture framework may find a solution of advance diagnosis and prevention of MSMEs turning into NPAs. This chapter proposes data mining service in cloud computing environment to Banks which can be delivered as Platform-as-a-Service through Shiny.

Big Data Analytics With Service-Oriented Architecture

This chapter focuses on Big Data and its relation with Service-Oriented Architecture. We start with the introduction to Big Data Trends in recent times, how data explosion is not only faced by web and retail networks but also the enterprises. The notorious “V's” – Variety, volume, velocity and value can cause a lot of trouble. We emphasize on the fact that Big Data is much more than just size, the problem that we face today is neither the amount of data that is created nor its consumption, but the analysis of all those data. In our next step, we describe what service-oriented architecture is and how SOA can efficiently handle the increasingly massive amount of transactions. Next, we focus on the main purpose of SOA here is to meaningfully interoperate, trade, and reuse data between IT systems and trading partners. Using this Big Data scenario, we investigate the integration of Services with new capabilities of Enterprise Architectures and Management. This has had varying success but it remains the dominant mode for data integration as data can be managed with higher flexibility.

Publish/Subscribe-Based Service Bus for IoT Services

In IoT (Internet of Things) scenarios, lots of things and services are connected and coordinated each other. In our work, we first propose a service-oriented publish/subscribe middleware as a construction base of distributed, ultra-scale, and elastic service bus for IoT applications. The IoT services in our solution are then aware of underpinning service communication fabric, where they are event-driven, their interfaces are defined by underlying event topics, their behaviors are specified by event relations, and they can cooperate with the service communication fabric to complete distributed service coordination.

A Role of Enterprise Service Bus in Building Web Services

Present is the era of fast processing industries or organization gives more emphasis for planning of business processes. This planning may differ from industry to industry. Service oriented architecture provides extensible and simple architecture for industry problem solutions. Web services are a standardized way for developing interoperable applications. Web services use open standards and protocols like http, xml and soap. This chapter provides a role of enterprise service bus in building web services.

Analytics-as-a-Service (AaaS)

Big Data Analytics is a major branch of data science where the huge amount raw data is processed to get insight for relevant business processes. Integration of big data, its analytics along with Service Oriented Architecture (SOA) is need of the hour, such integration shall render reusability and scalability to various business processes. This chapter explains the concept of Big Data and Big Data Analytics at its implementation level. The Chapter further describes Hadoop and its technologies which are one of the popular frameworks for Big Data Analytics and envisage integrating SOA with relevant case studies. The chapter demonstrates the SOA integration with Big Data through, two case studies of two different scenarios are incorporated that integrates real world implementation with theory and enables better understanding of the industrial level processes and practices.

Featured Analysis of Enterprise Service Bus

These days' incorporation and interoperability studies and research have gotten to be interesting issues in business field, giving advances which empower Enterprise Application Integration (EAI). In this sense, Enterprise Service Bus (ESB) items have picked up a critical unmistakable quality as the components for supporting EAI. As a result, a few ESB items from both open source and commercial have risen. Because of the significance of utilizing open source solutions for a few areas, for example, research and business field learns about some open ESB items ought to be finished. Additionally, in these studies the reconciliation of existing services and procedures ought to be concentrated on. The point of this chapter is to assess probably the most essential open ESBs by demonstrating the primary elements and the execution contrasts between them concerning the joining of existing services and procedures in each of the ESBs analysed.

Efficient Storage Mechanisms for Internet of Things Solutions in ESB

This chapter dedicated to analysis of various types of data produced or processed by Internet of Things solution with ESB architecture accent. Since Internet of Things platforms are mostly focused on gathering and processing big amounts of data, to keep such solutions efficient it is important to design and create efficient storage mechanism that will not became a bottle-neck for the whole system performance. Taking into account types of data to be stored or processed, in the chapter designed an option for building efficient storage mechanism for Internet of Things solution that flexibly fits various data requirements.

Data Analysis for Potential Reach Using Elasticsearch

Elasticsearch has become an attractive open-source search and analytics engine for use cases such as log analytics, click stream analytics and real-time application monitoring. As a service, Elasticsearch is made available by Amazon Web services, Searchly.com, Bonsai and many other websites as a hosted engine. This hosted Elasticsearch service is known as Elastic Cloud. The aim of AWS (Amazon Web Services) is to provide Elasticsearch as a service to users. These web services can implement Service-oriented Architecture. In the following chapter Potential Reach is aggregated using the server. Potential Reach is a metric that indicates the reach of an online activity like tweet or comment. This number helps media marketers track the success of the brand or company.

Securities Perspective in ESB-Like XML-Based Attacks

In today's world where technology drastically changing and we supposed to believe that layer 7 protocol HTTP(s) is sufficient from the security perspective. But it's not, malicious user or hackers are so prudent in their attacks that most of the breaches occurs at layer 7 i.e. HTTP/HTTPS. And XML based attacks either of XML parser attack, XML generator attack or XXE Denial of service attack etc. are all comes in the first place of OWASP TOP 10 vulnerability. HTTPS connection is not sufficient enough to stop masqueraders or attackers, as XML injection or XSS attack doesn't care about the encryption of data as it deals with the scripts mainly. ESB where considered as pluggable device where all the existing systems or IT infrastructure devices can be exposed to new applications and cut the time and cost by implementing this. But data travels on the bus is always be preferred on XML and here it's all security & privacy issues comes into picture and the same has been highlighted in this chapter throughout.