energy-ef?cient tasks scheduling algorithm for real-time utility accrual real-time scheduling for multiprocessor multiprocessor real-time scheduling in industrial embedded a novel approach for off-line multiprocessor scheduling in multiprocessor scheduling for real time systems embedded robust partitioned scheduling for realtime multiprocessor multiprocessor scheduling for real time systems emb...

Task scheduling in cloud environment is a key technical problem on how to allocate available cloud resources to cloud users. Usually, a task in cloud environment can be cut into a serials of subtasks, which have precedence and dependency relationships among themselves. We describe the problem by means of a DAG (Directed Acyclic Graph) model. Then, we propose a priority algorithm for DAG task sc...

In this paper an efficient three- stage algorithm is developed for software production cost and time estimation. First stage includes a hybrid model composed of COCOMO and Function Points methods to increase estimation accuracy. Second stage encompasses paired comparisons matrix of analytical hierarchy process to determine amount of any resources consumed in each step of software production by ...

A dynamic task scheduling algorithm, that is stable, decentralized, and adaptive to network topology, is presented. The proposed algorithm is an extension of nearest neighbor load balancing strategy with an enhanced degree of efJiciency and it is intendedfor multicomputers connected by a store and forward communication network. The proposed algorithm is modeled by a central server open queuing ...

Task scheduling is essential for the suitable operation of multiprocessor systems. The aim of task scheduling is to determine an assignment of tasks to processors for shortening the length of schedules. The problem of task scheduling on multiprocessor systems is known to be NP-complete in general. Solving this problem using by conventional techniques needs reasonable amounts of time. Therefore,...

Grid resource scheduling theory involving basic theoretical knowledge for grid scheduling was discussed in this paper. Then an intensive study of the scheduling strategy was made. According to the heterogeneous characteristic of grid environment, an improved algorithm DIBS for task scheduling were proposed. In this algorithm, the entire scheduling process was divided into three steps: layering,...

Minimizing computing energy consumption has many benefits, such as environment protection, cost savings, etc. An important research problem is the energy aware task scheduling for cloud computing. For many diverse computers in a typical cloud computing system, great energy reduction can be achieved by smart optimization methods. The objective of energy aware task scheduling is to efficiently co...