The internet of medical things (IoMT) empowers patients to get adaptable, and virtualized gear over the internet. Task scheduling is most fundamental problem in IoMT-cloud since cloud execution commonly relies on it. Thus, a proposition being made for distinct technique suitably meet these solicitations. To manage issue, an artificial intelligence (AI) method known as hybrid genetic algorithm (...

cloud computing is the latest technology that involves distributed computation over the internet. it meets the needs of users through sharing resources and using virtual technology. the workflow user applications refer to a set of tasks to be processed within the cloud environment. scheduling algorithms have a lot to do with the efficiency of cloud computing environments through selection of su...

Background and Objectives: Operating room (OR) scheduling is key to optimal operating room productivity. The significant uncertainty associated with surgery duration renders scheduling of surgical operation a challenging task. This paper proposes a novel computational stochastic model to optimize scheduling of surgeries with uncertain durations. The model considers various surgical operation co...

This paper explores ways of performing commutative tasks by N parties. Tasks are defined as commutative if the order at which parties perform tasks can be freely changed without affecting the final result. It is easy to see that arbitrary N-party commutative tasks cannot be completed in less than N − 1 basic time units. We conjecture that arbitrary N-party commutative tasks cannot be performed ...

Scheduling independent tasks on heterogeneous environments, like Grids, is not trivial. To make a good scheduling plan on this kind of environments is usually needed prediction information like host speed, host load, task size and network load. This kind of information is not always available and is often dif f icult to obtain. In this paper we propose an approach that does not use any kind of ...

This paper describes an intelligent, mixed-initiative scheduler which supports users in the organization and revision of their calendars, helping them to allocate personal and shared activities involving other collaborators. Our scheduler exploits well-known temporal reasoning techniques to suggest complete schedules, as well as to guide the user in the exploration of the possible changes to th...

Task allocation for heterogeneous agents in disaster environments under time, space and communication constraints is a challenging issue in both theory and practice. This paper presents a dynamic task allocation approach for such situations. The proposed approach consists of an information collection mechanism, a group task allocation mechanism and a group coordination mechanism. Initially, the...