Policy Technologies for Self-Managing Systems by Dakshi Agrawal, Seraphin Calo, Kang-won Lee, Jorge Lobo,

By Dakshi Agrawal, Seraphin Calo, Kang-won Lee, Jorge Lobo, Dinesh Verma

  coverage applied sciences for Self-Managing structures   Dakshi Agrawal Calo Seraphin Kang-won Lee Jorge Lobo Dinesh Verma   Use regulations to construct self-managing IT structures that get a better price, increase availability, and increase agility   IT regulations can be utilized to steer and automate choice making within the administration of machine and community infrastructure, aiding IT firms lessen expenses, increase provider caliber, and improve company agility. Now, a crew of best IBM researchers introduces the most recent suggestions in guidelines and autonomic computing and demonstrates how you can positioned them to paintings on your association.   The authors disguise the whole coverage lifecycle: making plans, definition, illustration in average coverage languages, validation, distribution, enforcement, and extra. They determine confirmed styles for designing policy-enabled self-managing structures and express how guidelines will be built-in right into a whole framework for process self administration. They conscientiously introduce key applied sciences corresponding to ideas engines and the IBM coverage administration framework, in addition to rising criteria reminiscent of the DMTF’s universal details version. eventually, they provide start-to-finish case reports of coverage administration in components starting from garage and IP networking to protection.   This book’s insights and sensible advice could be worthy to each IT expert who can make the most of guidelines: architects, builders, directors, researchers, and executives alike. assurance contains   knowing the lifestyles cycle and elements of policy-based self-managing platforms making a choice on your most sensible possibilities to force worth from regulations Defining the main applicable abstraction point in your regulations utilizing the DMTF’s universal details version to set up the logical constitution and contents of regulations Validating the consistency and appropriateness of your guidelines Making your guidelines immediately enforceable by way of laptop utilizing guidelines to simplify and streamline configuration administration for SANs and different IT platforms enhancing availability through enforcing rules that could instantly react to faults and mistake stipulations    

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Some examples of alert policies are as follows: • Notify all users who have not accessed their account for three months by email to warn of possible account deletion. • If a system has not installed the latest version of anti-virus software, send an email to the employee and his/her manager. • If a system has gone down, send a message to the administrator’s pager. Although real-life policies, as shown here, are specified in various different styles, all of these policies can be restructured using a common pattern or a model.

A self-optimizing system would modify its configuration according to the current workload to maximize its performance. A selfhealing system would automatically repair any damage done to its components. The manner in which policy technology can be used to enable the development of such systems is described in the next few subsections. 2. Policy-Based Self-Configuration One of the most time-consuming operations in the management of any system is the initial configuration of a new installation, or the reconfiguration that needs to be performed when new requirements are received.

The drive to reduce IT operation expenses is resulting in IT processes From the Library of Garrick Lee Instances of Policy-Based Systems 25 and management being standardized and outsourced. A holistic view of the policies is attractive from the perspective of the suppliers as well as the customers of the outsourced IT processes. For the suppliers of IT services, automated configuration of the shared IT infrastructure that can satisfy a set of high-level customer requirements reduces the cost of and the time required for boarding a new customer.

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