ABSTRACT

The increasing cost of maintaining IT systems relative to the cost of purchasing those systems has led to an increased emphasis on use of autonomic computing principles to reduce the need for skilled labor for its use, support, maintenance, and management. This entails that autonomic computing systems be able to dynamically adapt themselves relatively easily with respect to changing business conditions and objectives. That is why the importance of policy-based system has gradually been recognized in autonomic computing systems. Moreover, policy-based technologies promise to reduce the burden of managing large-scale computing systems by freeing human administrators from direct manipulation of underlying devices and systems, and by providing systematic means to create, modify, and distribute policies. That is the reason we develop a policy engine on top of our policy engine to improve the functionality.