OPTIMIZE SELF - ORGANIZING CLOUD USI NG MULTI - ATTRIBUTE RESOURCE ALLOCATION METHOD

Due to dynamic resource provisioning technologies used in cloud, the frequent resource repartitioning and reallocation (e.g., upon task arrival or completion) m ake it a challenging problem to locate a node containing a combination of available resources along all the resource attributes that would satisfy the requiremen ts of a submitted task. The System propose cloud architecture, namely self - organizing cloud (SO C), which can connect a large number of desktop computers on the Internet by a P2P network. In SOC, each participating computer acts as both a resource provider and a resource consumer. SOC operate autonomously for locating nodes with more abundant resourc e or unique services in the network to offload some of their tasks; meanwhile they could construct multiple VM instances for executing tasks submitted from others whenever they have idle resources. The System propose an algorithm to optimize the task execu tion time on a qualified resource node, given its pre - set budget and tolerable quality of service (QoS)