We characterize the search landscape of the job shop scheduling problem (JSSP), with a focus on schedules whose makespan is optimal or near-optimal. Building on previous work on the ‘big valley’ distribution of local optima, we use special branch and bound algorithms to examine in greater detail the extent to which JSSP search spaces conform to the intuitive picture conveyed by the words ‘big v...

Abstract Efficient utilization of available computing resources in Cloud is one the most challenging problems for cloud providers. This requires design an efficient and optimal task-scheduling strategy that can play a vital role functioning overall performance system. Optimal Schedules are specifically needed scheduling virtual machines fluctuating & unpredictable dynamic scenario. Although...

This paper reconsiders the most basic scheduling problem, that of minimizing the makespan of a partially ordered set of activities, in the context of incomplete knowledge. After positioning this paper in the scope of temporal networks under uncertainty, we provide a complete solution to the problem of finding floats of activities, and of locating surely critical ones, as they are often isolated...

<p>In this ever-developing technological world, one way to manage and deliver services is through cloud computing, a massive web of heterogenous autonomous systems that comprise adaptable computational design. Cloud computing can be improved task scheduling, albeit it being the most challenging aspect improved. Better scheduling improve response time, reduce power consumption processing e...

We characterize the search landscape of the job shop scheduling problem (JSSP), with a focus on schedules whose makespan is optimal or near-optimal. Building on previous work on the ‘big valley’ distribution of local optima, we use special branch and bound algorithms to examine in greater detail the extent to which JSSP search spaces conform to the intuitive picture conveyed by the words ‘big v...

In this paper we consider the nonsimultaneous multiprocessor scheduling problem, or NMSP for short. The NMSP is a makespan minimization scheduling problem which involves the nonpreemptive assignment of independent jobs on m parallel machines with di erent starting times. It is well known that the longest processing time (LPT) algorithm and the modi ed LPT(MLPT) algorithm yield schedules with ma...

The problem of Scheduling n Independent Jobs on m Unrelated Parallel Machines, when the number of machines m is xed, is considered. The standard problem of minimizing the makespan of the schedule (SUM) and the bicriteria problem of scheduling with bounded makespan and cost (SUMC) are addressed, and randomized fully linear time approximation schemes are shown for both of them. While matching the...

The Resource Constrained Project Scheduling Problem with minimum and maximum time lags (RCPSP/max) is a general model for resource scheduling in many real-world problems (such as manufacturing and construction engineering). We consider RCPSP/max problems where the durations of activities are stochastic and resources can have unforeseen breakdowns. Given a level of allowable risk, α, our mechani...

We consider in this paper the problem of scheduling a set of independent parallel tasks (jobs) with respect to two criteria, namely, the makespan (time of the last finishing job) and the minsum (average completion time). There exist several algorithms with a good performance guaranty for one of these criteria. We are interested here in studying the optimization of both criteria simultaneously. ...

We treat the problem of scheduling a owshop with pallet requirements. Each job in the owshop needs a pallet the entire time, from the start of its rst operation until the completion of the last operation, and the number of pallets in the shop at any given time is limited by an integer K. We prove that the problem is NP-hard in the strong sense for m 2 and K 3, and for m 3 and K 2, where m is th...