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1.INTRODUCTION
Self managing computing helps address the complexity issues by using technology to manage technology. The idea is not new many of the major players in the industry have developed and delivered products based on this concept. Self managing computing is also known as autonomic computing.
Autonomic Computing is an initiative started by IBM in 2001. Its ultimate aim is to develop computer systems capable of self-management, to overcome the rapidly growing complexity of computing systems management, and to reduce the barrier that complexity poses to further growth. In other words, autonomic computing refers to the self-managing characteristics of distributed computing resources, adapting to unpredictable changes while hiding intrinsic complexity to operators and users.
The term autonomic is derived from human biology. The autonomic nervous system monitors your heartbeat, checks your blood sugar level and keeps your body temperature close to 98.6°F, without any conscious effort on your part. In much the same way, self managing computing components anticipate computer system needs and resolve problems with minimal human intervention.
Self managing computing systems have the ability to manage themselves and dynamically adapt to change in accordance with business policies and objectives. Self-managing systems can perform management activities based on situations they observe or sense in the IT environment. Rather than IT professionals initiating management activities, the system observes something about itself and acts accordingly. This allows the IT professional to focus on high-value tasks while the technology manages the more mundane operations. Self managing computing can result in a significant improvement in system management efficiency, when the disparate technologies that manage the environment work together to deliver performance results system wide.
However, complete autonomic systems do not yet exist. This is not a proprietary solution. It's a radical change in the way businesses, academia, and even the government design, develop, manage and maintain computer systems. Self managing computing calls for a whole new area of study and a whole new way of conducting business.
Self managing computing is the self-management of e-business infrastructure, balancing what is managed by the IT professional and what is managed by the system. It is the evolution of e-business.
1.1 Objective
The goal of autonomic computing is to create systems that run themselves, capable of high-level functioning while keeping the system's complexity invisible to the user.
Research into creating autonomic systems won't be easy, but future computer systems will have to incorporate increased levels of automation if we expect them to manage the ballooning amount of data, the ever-expanding network and the increasing might of processing power.
To create autonomic systems researchers must address key challenges with varying levels of complexity. Here is a partial list of the challenges we face.
Autonomic computing systems have the ability to manage themselves and dynamically adapt to change in accordance with business policies and objectives. Self-managing systems can perform management activities based on situations they observe or sense in the IT environment. Rather than IT professionals initiating management activities, the system observes something about itself and acts accordingly. Self-Management technologies are expected to pervade the next generation of network management systems.
The growing complexity of modern networked computer systems is currently the biggest limiting factor in their expansion. The increasing heterogeneity of big corporate computer systems, the inclusion of mobile computing devices,and the combination of different networking technologies like WLAN, cellular phone networks, and mobile ad hoc networks make the conventional, manual management very difficult, time-consuming, and error-prone.
of complexity to solve a wide variety 62258752
2.2SYSTEM OVERVIEW
Autonomic computing is a self-managing computing model named after, and patterned on, the human body's autonomic nervous system. An autonomic computing system would control the functioning of computer applications and systems without input from the user, in the same way that the autonomic nervous system regulates body systems without conscious input from the individual.
Self managing computing is about freeing IT professionals to focus on high-value tasks by making technology work smarter. This means letting computing systems and infrastructure take care of managing themselves. Ultimately, it is writing business policies and goals and letting the infrastructure configure, heal and optimize itself according to those policies while protecting itself from malicious activities. Self managing computing systems have the ability to manage themselves and dynamically adapt to change in accordance with business policies and objectives.
In an autonomic environment the IT infrastructure and its components are Self-managing. Systems with self-managing components reduce the cost of owning and operating computer systems. Self-managing systems can perform management activities based on situations they observe or sense in the IT environment. Rather than IT professionals initiating management activities, the system observes something about itself and acts accordingly. This allows the IT professional to focus on high-value tasks while the technology manages the more mundane operations.
IT infrastructure components take on the following characteristics:
• self-configuring
• self-healing
• self-optimizing and
self-protecting.
2.1 Self-configuring
Systems adapt automatically to dynamically changing environments. When hardware and software systems have the ability to define themselves “on-the fly,” they are self-configuring. This aspect of self-managing means that new features, software, and servers can be dynamically added to the enterprise infrastructure with no disruption Systems adapt automatically to dynamically changing environments. When hardware of services. Self-configuring not only includes the ability for each individual system to configure itself on the fly, but also for systems within the enterprise to configure themselves into the e-business infrastructure of the enterprise. The goal of self managing computing is to provide self-configuration capabilities for the entire IT infrastructure, not just individual servers, software, and storage devices.
2.2 Self- healing
Systems discover, diagnose, and react to disruptions. For a system to be self-healing, it must be able to recover from a failed component by first detecting and isolating the failed component, taking it off line, fixing or isolating the failed component, and reintroducing the fixed or replacement component into service without any apparent application disruption. Systems will need to predict problems and take actions to prevent the failure from having an impact on applications. The self-healing objective must be to minimize all outages in order to keep enterprise applications up and available at all times. Developers of system components need to focus on maximizing the reliability and availability design of each hardware and software product toward continuous availability.
2.3 Self-optimizing
Systems monitor and tune resources automatically. Self-optimization requires hardware and software systems to efficiently maximize resource utilization to meet end-user needs without human intervention. Features must be introduced to allow the enterprise to optimize resource usage across the collection of systems within their infrastructure, while also maintaining their flexibility to meet the ever-changing needs of the enterprise.
2.4 Self-protecting
Systems anticipate, detect, identify, and protect themselves from attacks from anywhere. Self-protecting systems must have the ability to define and manage user access to all computing resources within the enterprise, to protect against unauthorized resource access, to detect intrusions and report and prevent these activities as they occur, and to provide backup and recovery capabilities that are as secure as the original resource management systems. Systems will need to build on top of a number of core security technologies already available today. Capabilities must be provided to more easily understand and handle user identities in various contexts, removing the burden from administrators.