Impact of Cloud of Clouds in Enterprises Applications

In recent times, the cloud has become a leading technology demanding its functionality in every business. According to research firm IDC and Gartner study, nearly one-third of the worldwide enterprise application market will be SaaS-based by 2018, driving annual SaaS revenue to $50.8 billion, from $22.6 billion in 2013. Downtime is treated as the primary drawback which may affect great deals in businesses. The service unavailability leads to a major disruption affecting the business environment. Hence, utmost care should be taken to scale the availability of services. As cloud computing has plenty of uncertainty with respect to network bandwidth and resources accessibility, delegating the computing resources as services should be scheduled accordingly. This chapter proposes a study on cloud of clouds and its impact on a business enterprise. It is also decided to propose a suitable scheduling algorithm to the cloud of cloud environment so as to trim the downtime problem faced by the cloud computing environment.

Download Full-text

Task scheduling algorithm based on multi criteria decision making method for cloud computing environment: TSABMCDMCCE

Open Computer Science ◽

10.1515/comp-2019-0016 ◽

2019 ◽

Vol 9 (1) ◽

pp. 279-291 ◽

Cited By ~ 1

Author(s):

Proshikshya Mukherjee ◽

Prasant Kumar Pattnaik ◽

Tanmaya Swain ◽

Amlan Datta

Keyword(s):

Decision Making ◽

Cloud Computing ◽

Task Scheduling ◽

Scheduling Algorithm ◽

Multi Criteria Decision Making ◽

Cloud Environment ◽

Computing Environment ◽

Queuing Model ◽

Cloud Computing Environment ◽

Task Scheduling Algorithm

AbstractThis Paper focuses on multi-criteria decision making techniques (MCDMs), especially analytical networking process (ANP) algorithm to design a model in order to minimize the task scheduling cost during implementation using a queuing model in a cloud environment and also deals with minimization of the waiting time of the task. The simulated results of the algorithm give better outcomes as compared to other existing algorithms by 15 percent.

Download Full-text

Efficient Cost Scheduling algorithm with Load Balancing in a Cloud Computing Environment

International Journal of Innovative Research in Computer and Communication Engineering ◽

10.15680/ijircce.2015.0306026 ◽

2015 ◽

Vol 03 (06) ◽

pp. 5138-5143

Author(s):

Amanpreet Chawla, Navtej Singh

Keyword(s):

Cloud Computing ◽

Load Balancing ◽

Scheduling Algorithm ◽

Computing Environment ◽

Cloud Computing Environment

Download Full-text

Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i7.114 ◽

2017 ◽

Vol 7 (7) ◽

pp. 137

Author(s):

. Monika ◽

Pardeep Kumar ◽

Sanjay Tyagi

Keyword(s):

Cloud Computing ◽

Big Data ◽

Large Data ◽

Workflow Scheduling ◽

Cloud Environment ◽

Computing Environment ◽

Scientific Application ◽

Cloud Computing Environment ◽

Flow Of Information

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.

Download Full-text