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CMGT_510Termpaper.docxRunning head: AUTONOMIC COMPUTING 2
AUTONOMIC COMPUTING 2
Autonomic computing
Autonomic computing, which is a newly deployed technology that the IBM introduced over a decade ago in a bid to manage the continued increase in complexities experienced in the information technology systems has grown and developed to become a sect of many businesses today . Many things have been implemented not only in networking areas but also in areas focused on data centering, data storage as well as database management. Nevertheless, very few tries have been focused on different business applications like CRM, SCM, ERP as well as online retail.
Autonomic computing has been implemented in e-commerce. Over the years, business applications have continued to emerge. These include online businesses that are selling different goods and services ranging from jewelry to groceries. Notably, autonomic computing has continued to bring transformation to the landscape of e-commerce by bettering the experiences of customers. Better customer experiences have been achieved through the different autonomic agents. These autonomic computing agents include Ad Manager, Associative Manager, Discount Manager, AC, and PC. These agents are important in their ways, more so, in bettering business operations in e-commerce.
Notably, Ad Managers help e-commerce businesses by offering them opportunities to resort not only to offline advertisements but also in online adverts as well. Through this, these businesses can find more income sources. Besides this, many online and offline businesses spend more money on advertising their businesses than in rent or even maintenance. Autonomic management helps in the optimization of these advertisements through distributing the budgets that the administrators provide to different media outlets. Additionally, it aids in monitoring the effectiveness of these ads. It does this through utility functions such as sales and clicks among others.
In regard to the ever escalating demand of varied business, there is urgent need to reinforce the receptiveness and resiliency of service delivery that mainly pertains to advancing quality of service while decreasing the underlying the total cost of ownership (TCO) of their respective operating environments. Nevertheless, IT components that are produced by the underlying high-tech companies in the past decades are deemed to be extremely complex that IT professionals are typically challenged to efficiently operate a stable IT infrastructure. As networks and distributed systems develop and transform, system deployment failures, hardware coupled with software issues, as well as human fault progressively more hinder effective system administration. Thus, human intervention is needed to enhance the underlying performance and ability of the components within an IT system such as automatic computing to curb entire overall costs decline.
Autonomic Computing can aids in tackling complexity utilizing technology in managing technology. Self-managing autonomic abilities anticipate IT system needs and resolve the corresponding problems with minimum human intervention. Consequently, IT professionals can explicitly focus on tasks with relatively higher worth to the business. Progress within the networking and computing technology as well as software tools have led to explosive developments within the networked applications and information services that cover entire aspects of individuals’ lives. These complicated applications and services are very multifaceted, varied as well as vibrant. Moreover, the underlying information infrastructure such as internationally aggregates massive numbers of the prevailing autonomous computing and communication resources, data stores coupled with the sensor networks, and is itself correspondingly huge, varied, dynamic and multifaceted. The combination has led in swift in application growth, configuration and management intricacies that break present computing paradigms mainly based on the static needs, behaviors, relations and compositions. Consequently, applications, programming settings and information infrastructures are swiftly becoming easily broken, uncontrollable and insecure.
The Autonomic Computing archetype has majorly been inspired through human autonomic nervous system. Its overarching objective is to mainly realize computer and software systems that can be manage in accordance to the high-level management from humans. Solving the underlying problems of autonomic computing needs technological developments in a extensive range of discipline coupled with modern programming archetype that support the effectual integration of the component technologies.
The architectural models typically aids in describing self-managing autonomic computing systems since they offer suitable mechanism for undertaking comparison of diverse vendors in regard to the utilization of the delivery of self-managing abilities within an IT system.
Automatic computing system is organized into fundamental layers and sections that are linked utilizing enterprise service bus patterns that permit the components to collaborate utilizing standard mechanisms like Web services. The enterprise service bus aids in the integration of diverse blueprint building blocks, which entails touchpoints for managing resources, information sources, Autonomic managers coupled with the manual managers.
In summation, autonomic computing entails shifting the trouble pertaining to the managing systems from individuals to technologies. When the underlying Self-Managing Autonomic Technology coupled with the self-management abilities delivered through IBM and supplementary vendors are capable of collaborating, the components of the multifaceted IT system operate together and administer themselves mainly based on the shared outlook of system extensive policy and objectives.
Businesses need to decrease their respective IT costs, abridge the administration of the multifaceted IT resources, as well as realize a relatively swifter return on their underlying IT investments. Autonomic Computing tackles these e issues through evolutionary shift of IT systems management. Furthermore, autonomic computing is capable of freeing IT staffs from undertaking detailed mundane tasks thereby permitting them to concentrate on administering the business processes.
Bibliography:
Kurian, D., & Raj, P. (2013). Autonomic Computing for Business Applications. International Journal of Advanced Computer Science and Applications, 4(8).
The authors of this paper seek to provide an understanding of the use of autonomic computing for business applications. The paper begins by offering insight into what autonomic computing is when it was started as well as the reasons for beginning it. According to the authors, autonomic computing plays a major role in business. Its introduction has helped in the management of business applications. Besides this, the continued developments that have been employed in autonomic computing have helped in easing the complexity of the IT systems. The authors provide insight that many of the inroads that autonomic computing has made concern technological areas such as storage, data centers, networking as well as the management of the database. However, concerning business applications, the authors provide understanding that few attempts in autonomic computing have been geared toward applications such as CRM, SCM, ERP as well as Online Retail. The paper delves into deeper details concerning the use of autonomic computing in these business applications.
Kurian, D., & Chelliah, P. R. (2013). Autonomic Computing for B2C E-Commerce Applications. International Journal of Computer Applications, 68(20), 33-40.
The authors of this paper focus on the continued increase in the complexities of autonomic computing. They also focus on the increase in demand for autonomic computing processes to be more proactive as well as to have higher speeds. Notably, the business world has continued to experience many changes that need to be met with great effectiveness. The failure to meet these changes with effectiveness has dire consequences. Therefore, autonomic computing processes have produced many solutions that help businesses to increase their consumer appreciation of the services they provide. The authors nevertheless, explore the challenges that come from different technological advances and transitions in the fields of B2C. Furthermore, they explore the various e-commerce applications in their entirety to determine the effect that results from using autonomic computing applications and processes. Ultimately, the authors provide understanding that the success of good consumer experience results from the use of various autonomic processes that work hand in hand with e-commerce applications.
Papazoglou, M. P., Traverso, P., Dustdar, S., & Leymann, F. (2007). Service-oriented computing: State of the art and research challenges. Computer, 40(11).
The technological world has many things to offer business realms. It creates many opportunities for businesses to overcome their challenges as well as to meet the diverse needs and wants of the consumers. The authors of this paper focus on the service-oriented aspect of autonomic computing. Notably, autonomic computing has continually helped businesses offer their customers the best services possible. Therefore, these authors analyze the challenges that have been continually met by autonomic computing. The authors further delve into the promotion that results from service-oriented computing. One of these promotions concerns the idea of assembling the different components of computing applications and focusing their use in the services network. Finally, the authors provide insight into this particular assembly. Their insight ranges from its flexibility to its level of dynamicity in improving business processes. Furthermore, the authors explore the agility of these applications as well as the span of computing platforms in business organizations.
Parashar, M., & Hariri, S. (2006). Autonomic computing: concepts, infrastructure, and applications. CRC press.
The authors of this book provide understanding of the concepts as well as the requirements of autonomic computing. They begin by exploring the architectures that businesses need to implement these systems. The authors also evaluate these concepts and requirements to provide the reader with a better insight into autonomic computing. Besides this, the authors of this book also focus on the changes that occur not only in the approaches that are used but also in the infrastructures. These shifts include control-based as well as recipe-based concepts.
Moreover, the authors of this book also focus on the systems that enable the application of autonomic computing in businesses. They explore the relevance of different forms of technologies in businesses as well as the essential role they play in the provision of services that help in the achievement of success within the business. Finally, the authors focus on different properties such as self-healing, self-protection, self-optimization and self-configuration and their importance to autonomic computing in business applications.
Cheng, Y., Leon-Garcia, A., & Foster, I. (2008). Toward an autonomic service management framework: A holistic vision of SOA, AON, and autonomic computing. IEEE Communications Magazine, 46(5).
The authors of this paper focus on the next generation network that focuses on enabling the provision of different multimedia applications using various QoS requirements. The paper also provides insight into the consolidation of services as well as the continued rapid increases in the scaling of the network. The authors focus on the importance of tasking services as well as managing the network in spite of their complexity as well as costly extremities. They explore the importance of making strides in autonomic services to enhance the provision of services that will help organizations achieve success. The paper also focuses on the importance of great marketing as well as the use of new internet applications together with lowered costs of management from service providers. Ultimately, the authors provide insight into the importance of creating a self-managing service delivery framework that will help the business realize its goals and objectives in the best ways possible.
Chieu, T. C., Mohindra, A., Karve, A. A., & Segal, A. (2009, October). Dynamic scaling of web applications in a virtualized cloud computing environment. In E-Business Engineering, 2009. ICEBE'09. IEEE International Conference on (pp. 281-286). IEEE.
The authors of this paper explore the dynamicity that comes from scaling web applications in a cloud-computing environment that has been virtualized. They offer insight into the importance of scalability and the critical role it plays in the success of numerous organizations who conduct their business operations in the web. The authors provide insight into the variation of information provided by these organizations from one time to the other. The authors demonstrate an understanding of the importance of maintaining enough resources that will help in meeting the costs of business operations. Therefore, they provide insight into the novel structure that can be used to ensure the dynamicity that results from scaling web applications because of cloud computing environments that have been virtualized with different thresholds. The authors delve into different web applications that various web services deploy. They examine the various scaled algorithms that are necessary for allocating different resources to uses to ensure the rapid provision and ultimate success of businesses.
References
Cheng, Y., Leon-Garcia, A., & Foster, I. (2008). Toward an autonomic service management framework: A holistic vision of SOA, AON, and autonomic computing. IEEE Communications Magazine, 46(5).
Chieu, T. C., Mohindra, A., Karve, A. A., & Segal, A. (2009, October). Dynamic scaling of web applications in a virtualized cloud computing environment. In E-Business Engineering, 2009. ICEBE'09. IEEE International Conference on (pp. 281-286). IEEE.
Kurian, D., & Raj, P. (2013). Autonomic Computing for Business Applications. International Journal of Advanced Computer Science and Applications, 4(8).
Kurian, D., & Chelliah, P. R. (2013). Autonomic Computing for B2C E-Commerce Applications. International Journal of Computer Applications, 68(20), 33-40.
Papazoglou, M. P., Traverso, P., Dustdar, S., & Leymann, F. (2007). Service-oriented computing: State of the art and research challenges. Computer, 40(11).
Parashar, M., & Hariri, S. (2006). Autonomic computing: concepts, infrastructure, and applications. CRC press.
