A Survey on Multi-Objective Tasks and Workflow Scheduling Algorithms in Cloud Computing

Introduction

Cloud computing is the core of decentralized networks, grid computing and customer-centered architecture application development on the Internet. The Internet can be used as an accessible resource to allow users to provide and consume services like storage, platform, memory, software, hardware and infrastructure without physical assets. A cloud is a collection of virtual servers connected to a set of computers that are dynamically viewed as a data center. Cloud computing is an evolving and desirable choice for companies and organizations to address their day-to-day growing needs. The service provides dynamic, scalable services. Virtualization defines computing platforms, storage facilities and computations which are given to users rapidly in payment for what they utilize. Cloud Storage is a service offered by a provider that stores and retrieves data, space, computation, etc. Cloud storage provides three main services. SaaS, PaaS and IaaS. The SaaS is a software subscription that is offered to the client. The client needs a browser to access those applications stored in the Cloud. Google Apps are available to both organizations and individuals. The PaaS includes an infrastructure where the client does not control resources but deploys the application on the cloud platform. The IaaS offers networks, bandwidth, memory and other storage resources for applications. Users can also monitor operating systems, storage and applications deployed. Amazon Web Services provides IaaS for pay peruse. Customers can access various resources by using the new services, making the resources available. Customers can pay for services and thus the term "pay-per-usage" refers to a new service paradigm for the Cloud. Although cloud services are used, optimal scheduling is important because users rely directly on it to use resources. To solve the scheduling problem, this paper provides a study of multi-objective scheduling algorithms and their advantages and disadvantages. We hope our work is a starting point for new research in cloud computing and helps create better scheduling algorithms. The information below includes the list of abbreviations and description that can be found in table 1.