For cloud environments, task scheduling focusing on the optimal completion time (makespan) is vital. Metaheuristic approaches can be used to produce efficient solutions that will provide important cost savings both service provider and clients. On other hand, since there a high probability of getting stuck in local minima metaheuristic due type problem, it may not always possible quickly reach ...

The need for calculating actions has been emerged everywhere and in any time, by advancing of information technology. Cloud computing is the latest response to such needs. Prominent popularity has recently been created for Cloud computing systems. Increasing cloud efficiency is an important subject of consideration. Heterogeneity and diversity among different resources and requests of users in ...

The need for calculating actions has been emerged everywhere and in any time, by advancing of information technology. Cloud computing is the latest response to such needs. Prominent popularity has recently been created for Cloud computing systems. Increasing cloud efficiency is an important subject of consideration. Heterogeneity and diversity among different resources and requests of users in ...

With the development of IoT and 5G technologies, edge computing has become a key driver for providing compute, network storage services. The dramatic increase in data size complexity AI computation models have put higher demands on performance computing. Rational optimal scheduling data-intensive tasks can greatly improve overall To this end, particle swarm algorithm based objective ranking is ...

Integrating cloud computing with wireless sensor networks creates a (WSN). Some real-time applications, such as agricultural irrigation control systems, use cloud. The battery life in clouds is constrained. data center’s computers consume lot of energy to offer storage the emerging technology-enabled virtualization. Using virtual environment has many advantages. However, different resource requ...

In cloud computing environments, task completion time and virtual machine load balance are two critical issues that need to be addressed. To solve these problems, this paper proposes a Multi-objective Optimization Mutate Discrete Bat Algorithm (MOMDBA) improves upon the traditional algorithm (BA). The MOMDBA introduces mutation factor inertia weight during global optimization process enhance al...

Recently, there has been significant growth in the popularity of cloud computing systems. One main issues building systems is task scheduling. It plays a critical role achieving high-level performance and outstanding throughput by having greatest benefit from resources. Therefore, enhancing scheduling algorithms will enhance QoS, thus leading to more sustainability This paper introduces novel t...

Cloud computing is an emerging paradigm that provides hardware, platform and software resources as services based on pay-as-you-go model. It being increasingly used for hosting executing service-based business processes. However, processes are subject to dynamic evolution during their life-cycle due the highly of cloud environment. Therefore, efficiently manage them according autonomic paradigm...

Cloud computing is a demanding business platform for services related to the field of IT. The goal cloud customers access resources at sustainable price, while suppliers maximize their utilization. Previously, would bid every single resource type, which was limitation allocation. To solve these issues, researchers have focused on combinatorial auction in are offered by providers bundles so that...