CHASE: An Autonomic Service Engine for Cloud Environments

Rak, Massimiliano; Cuomo, Antonio; Villano, Umberto

doi:10.1109/wetice.2011.21

Cited by 13 publications

(10 citation statements)

References 17 publications

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“…CHASE [128], Cloud@Home's Automatic Service Engine is designed to optimize the scheduling of virtual machines in a Cloud environment based on the a performance prediction service and a forecast service.…”

Section: Related Projects Prototypes or Applicationsmentioning

confidence: 99%

Experiences in building a mOSAIC of clouds

Petcu

Martino

Venticinque

et al. 2013

J Cloud Comput Adv Syst Appl

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The diversity of Cloud computing services is challenging the application developers as various and non-standard interfaces are provided for these services. Few middleware solutions were developed until now to support the design, deployment and execution of service-independent applications as well as the management of resources from multiple Clouds. This paper focuses on one of these advanced middleware solutions, called mOSAIC. Written after the completion of its development, this paper presents an integrated overview of the mOSAIC approach and the use of its various software prototypes in a Cloud application development process. We are starting from the design concepts and arrive to various applications, as well as to the position versus similar initiatives.

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Section: Related Projects Prototypes or Applicationsmentioning

confidence: 99%

Experiences in building a mOSAIC of clouds

Petcu

Martino

Venticinque

et al. 2013

J Cloud Comput Adv Syst Appl

Self Cite

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“…A few of the famous implementations are Unity, AUTONOMIA [8], FOCALE [9], SASSY [10], PAWS [11], ANTS, Rudder [12], CHASE [13] etc. IPAutomota[14] is a well-known commercial product from IPCenter, which claims a 10-times efficiency increase in terms of human resource utilization.…”

Section: Autonomic Journeymentioning

confidence: 99%

Autonomic Computing for B2C E-Commerce Applications

Kurian¹,

Raj²

2013

IJCA

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Ever increasing complexity, higher demand for proactiveness, and high speeds of innovation resulting from heavy competition, demand the adoption of more intelligent systems, which are capable of producing optimal results, in all fields. B2C E-Commerce applications are no different. The major challenge in transitioning a brick and mortar business to an online environment is to provide the same user experience as that of a wayside store, like the consultation, up selling, pro-activeness, negotiation, delivery, etc. This requirement has created a lot of intelligent tools and necessitates further evolution of more intelligent tools. Autonomic computing provides the framework for design of independent intelligent self-managing components, and is thereby optimally suited to assist E-Commerce in this journey. This framework can be extensively used to upgrade existing E-Commerce systems with autonomic features. This paper introduces the concept of autonomic computing in e-commerce applications, and provides a generic architecture, with specific focus on selfoptimizing characteristics of autonomic computing. Details of concrete implementation of autonomic components in an ecommerce environment are provided. This paper is the specific application scenario of the generic autonomic concept presented in "Autonomic Computing Architecture for Business Applications" [1].

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“…There are scholarly projects trying to converge the elegant and exemplary facets of autonomic computing principles with the fastgrowing cloud computing. It is very clear that a number of serverrelated and management tasks (user load, workload, job scheduling, provisioning, and de-provisioning of various IT resources) are getting automated through a bunch of software solutions [12].…”

Section: Survey Of the Autonomic Journeymentioning

confidence: 99%

Upgradation of business applications with autonomic computing

Kurian

Raj

2013

Proceedings of the 6th ACM India Computing Convention

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Autonomic computing has come a long way since its inception a decade ago and has been positioned as a venerable and valueadding technology for producing and sustaining self-managing, real-time, and resilient systems for the future. A series of concerted efforts by multiple IT companies and academic research laboratories across the world have brought in a number of advancements in this discipline with vigorous study and research. A variety of proven and potential mathematical and computational concepts have been selected and synchronized to arrive at noteworthy improvements in the autonomic systems design, development, deployment, and delivery methods. Having understood the unique value-proposition and the significant achievements in the autonomic computing space, business executives and IT experts are consciously embracing the autonomic idea, which is very generic to be easily embedded in any kind of business and IT systems. However, the penetration of this technology into both IT and business applications has not been as originally envisaged by its creators due to various reasons.The business environment is still filled and saturated with largescale packaged and monolithic applications. If the autonomic capabilities are innately squeezed into business and IT applications, then there can be major differentiators in how those applications function in seamlessly and spontaneously automating business operations. Both, existing as well as emerging applications can be targeted to become autonomic in their operations, outputs, and outlooks. In this paper, we have described how the leading enterprise packages (ERP, CRM , SCM , and so on.) can be enabled to be adaptive, highly available, secure, and scalable in their actions and reactions. The well-known enterprise applications such as CRM , Online Retail, and M arketing with focus on self-optimization characteristics are described here. A detailed analysis of a Discount M anager in an online retail scenario is also explained. The simulation results obtained clearly show how embedded autonomic capability is very close to human thinking and decision-making ability.

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CHASE: An Autonomic Service Engine for Cloud Environments

Cited by 13 publications

References 17 publications

Experiences in building a mOSAIC of clouds

Experiences in building a mOSAIC of clouds

Autonomic Computing for B2C E-Commerce Applications

Upgradation of business applications with autonomic computing

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