Autonomic computing-18th may dhiren shah prachi shah
- 1. 23-05-2018 1 Autonomic Computing Presented By: Prachi Shah Dhiren Shah APGI2018 Conference, 18th May 2018, Agility Beyond IT Introduction The term “autonomic” comes from biology. In the human body, the autonomic nervous system takes care of unconscious reflexes, that is, bodily functions that don't require our attention, for example bodily adjustments such as the size of the pupil, the digestive functions of the stomach and intestines, the rate and depth of respiration Systems which are self-governed or can act independently, and are capable of making decisions on its own using high level policies. IBM suggested that complex computing systems should also have autonomic properties, that is, should be able to independently take care of the regular maintenance and optimization tasks, thus reducing the workload on the system administrators
- 2. 23-05-2018 2 Paul Horn Senior Vice President IBM Autonomic Computing http://www.ibm.com/autonomic/ Characteristics of Autonomic Computing IBM introduce eight basic characteristics of autonomic system that must posess,these are: 1.”know itself” Need detailed knowledge of its components , current status , ultimate capacity and connections with other systems to govern itself. 2. “Self-configure and reconfigure” System configuration must occurautomatically by making dynamic adjustment to that configuration to handle changing environments optimally
- 3. 23-05-2018 3 Characteristics of Autonomic Computing 3. “Optimize Operations” Optimizing means system should prioritize the tasks and also it should use optimum path to complete the goal 4. “Able to recover” Autonomic systems must be able to recover from extraordinary events that might cause some of its parts to malfunction. System must be able to discover problems, then find an alternative way of utilizing resources or reconfiguring the system to keep functioning smoothly. 5.”Self-Protection” Autonomic system must detect, identify and protect itself against various types of attacks to maintain entire system security and integration. Characteristics of Autonomic Computing 6. ”Be aware” System will find and generate rules for how best to interact with neighboring systems,it will tap available resources,even stops the use by other system underutilized elements,changing both itself and its environment in the process. 7. ”Open standards” An autonomic system must function in a heterogeneous world and implement open standards. 8. “Hide Complexity” Autonomic computing system will anticipate the optimized resources that are needed by keeping its complexity hidden.
- 4. 23-05-2018 4 Elements of Autonomic Computing The autonomic computing has four major elements: Self-configuring Self-optimizing Self-healing Self-protecting Install and set up software automatically, test and release of regular vendor service packs. Interfacing with other automatic modules to exchange data and files. Working with outside vendor software. If a database index fails then the files are automatically re-indexed, tested and loaded back into production Confirm the ability of backup and recovery resources that may be needed.
- 5. 23-05-2018 5 Autonomic computing Architecture In an autonomic environment, components work together , communicating with each other and with high –level management tools. Autonomic Computing Architecture (cont..) Control loop is divided into two basic elements: 1. Managed Resource 2. Autonomic Manager 1.Managed Resource: The managed resource is controlled through its sensors and effectors. The sensors provide mechanism to collect information about the state and state transitions of an element The effectors are mechanisms that change the state of an element.
- 6. 23-05-2018 6 Autonomic Computing Architecture (cont..) 2.Autonomic manager: The autonomic manager is a component that implements the control loop. The monitor part provides the mechanisms that collect, aggregate, filter and report details which are collected from an element. The analyze part provides the mechanisms that correlate and model complex situations. The plan provides the mechanisms that structure the action needed to achieve goals and objectives. The execute part provides the mechanisms that control the execution of plan and it will establish whether the commands completed their required actions. Current Computing Vs Autonomic Computing Concept Current computing systems Autonomic systems Self- configuration Installing, configuring, and integrating systems is time consuming and error prone. Systems get configured automatically using high level policies Self- optimization Systems have hundreds of manually set, nonlinear tuning parameters, and their number increases with each release. Systems and components continually seeking opportunities to improve their own performance& efficiency. Self-healing Takes more time for programmers to determine the problems in large computing systems. These are automatically detects, diagnoses, and repairs localized software and hardware problems. Self- protection Detection and recovery from attacks, cascading failure is manual. Automatically protects against malicious attacks or cascading failures. It uses early warnings to prevent system wide failures.
- 7. 23-05-2018 7 Driverless CAR Ideation – workshop Concept should be based on Autonomic elements Self-configuring Self-optimizing Self-healing Self-protecting
- 8. 23-05-2018 8 Thank You …. Don’t Do Agile .. Be Agile Requests - 1. Support digital and cashless society movement, let’s lead our country to corruption free society by Leading the Autonomic Computing approach. 2. Don’t waste water, Food and Fuel. 3. Participate in Clean India drive 4. Participate in Government initiative - https://innovate.mygov.in/sih2017/ Contact : Prachi : E- Prachi.dhirens@gmail.com, LinkedIn – Prachi-d-shah Mobile – 91-9850024108 Dhiren : E- dhiren.shah@hotmail.com, Twitter @DhirenVShah, LinkedIn – Dhiren- shah Mobile – 91-9527355108