Cloud Storage Service gained momentum over conventional means of storage due to its flexible and scalable nature. Storage service provider takes the sole responsibility of the files which gets uploaded right from managing to providing security. Deleting the file from cloud storage is not as evident as uploading it due to several reasons. In order to make deletion of files transparent to the user and thereby achieve complete privacy, a mutually verifiable deletion of the file is essential. This paper presents a user oriented permanent deletion scheme for cloud object storage. © 2015 IEEE.

Dhinesh Babu L-D

Department of Software and Systems Engineering

School of Information Technology and Engineering

Vellore Campus

Moses J.S

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

2015 International Conference on Green Computing and Internet of Things (ICGCIoT)

Cloud computing has become the cutting-edge technology for information technology processing and high-end computational tasks. Cloud has started playing its part in almost all business processes. Big data in cloud has become the buzzword. The business impact of cloud has deepened with the growth of big data analytics. Current trends such as green cloud computing, mobile cloud computing, and big data have created social as well as business impact. In this chapter, the authors analyze the field of cloud computing and perform an intense literature survey augmented with mathematical analysis. The forecast on the future of cloud and analysis of the current trends shows that cloud computing is a promising technology that will evolve further in years to come.

Cloud Technology

Forecasting the Trends in Cloud Computing and its Impact on Future IT Business

In cloud computing, clients comply a policy of pay-as-you go, i.e., they only pay for the resources they use. So, the processing power of the clouds has to be optimised to reduce the cost at client's side. Using the resources optimally ensures enterprise sustainability of cloud service providers. Workflow is a set of tasks that are interdependent on each other. Scheduling these workflows is one of the most important challenges to optimally utilise the cloud resources and ensure better quality of service (QoS) to clients. Existing works on scheduling in cloud computing mainly focus on scheduling independent tasks rather than (inter)dependent tasks. In this paper, we propose a strategy to schedule dependent tasks called pre-emptive fair scheduling algorithm (PFSA). This is fair scheduling strategy also aims to ensure higher utilisation of virtual machines (VMs) by reducing the idle time and to minimize the number of times a pre-empted task is submitted to the virtual machine. In both cases, this algorithm tries to effectively reduce the overall processing time of dependent tasks at virtual machine, thus minimising the cost involved in processing of tasks. This economically viable decision-based strategy will be helpful for cloud service providers in ensuring sustainability. Copyright © 2014 Inderscience Enterprises Ltd.

International Journal of Business Information Systems

A decision-based pre-emptive fair scheduling strategy to process cloud computing work-flows for sustainable enterprise management

In cloud computing environments, resources and infrastructure are provided as a service over internet on demand. The users are interested in reducing the service cost provided by the cloud service providers. Scheduling tasks of workflows play a vital role in determining performance of cloud computing systems. Workflows have many tasks in it and are interdependent on each other. Time critical workflows comprise of a collection of tasks which should be completed as early as possible so that other workflows get its turn. The budget involved in executing the time critical tasks is very high. The execution cost increases whenever we try to reduce the execution time. In this paper, we propose a method called versatile time-cost algorithm (VTCA) to schedule time critical workflows with minimum cost. VTCA will schedule the tasks to complete in earliest possible time as well as optimise the cost involved in resource provisioning. The results of experiments conducted using CloudSim simulator show that our scheduling policy minimises the completion time of workflows than other existing algorithms like min-min and fair max-min by 5% to 30% and it also reduces the costs by 5% to 35%. © 2013 Inderscience Enterprises Ltd.

International Journal of Communication Networks and Distributed Systems

Versatile time-cost algorithm (VTCA) for scheduling non-preemptive tasks of time critical workflows in cloud computing systems

Cloud computing has emerged as a buzzword of IT-enabled business services. It makes business sense to choose an optimal location for setting up the cloud service facilities such as data centres. The distribution of services between data centre facilities and clients of a cloud can be devised mathematically as the well-known facility location problem (FLP). The decisions of location of data centres are a vital element in strategic planning for a wide range of cloud service providers. In this paper, we have applied facility location techniques in operations management for evaluating the available potential locations and zero down to the best optimal facility location, which can be used to minimise the cost associated with setting up of data centre facilities. A case study is also presented applying FLP in Indian cloud computing scenario. By using these techniques, one can ensure desired QoS and optimum use of data centre facilities. Copyright © 2013 Inderscience Enterprises Ltd.

International Journal of Services and Operations Management

Applying operations management models for facility location problem in cloud computing environments

Over the past two decades, the scenario in the computing world has evolved from client-server to distributed systems and then to central virtualization called as cloud computing. Computing world is moving towards Cloud Computing and it remains as buzzword of the current era. Earlier, users had complete control over their processes and data stored in personal computer where as in cloud, cloud vendor provides services and data storage in remote location over which the client has no control or information. As application and data processing takes place in public domain outside the designated firewall, several security concerns and issues arise. The main objective of the paper is to provide an overall security perspective in cloud Computing and highlight the security concerns and other issues. The paper also highlights few technical security issues in cloud computing. © 2011 Springer-Verlag.

Journal	Data powered by Typeset2015 International Conference on Green Computing and Internet of Things (ICGCIoT)
Publisher	Data powered by TypesetIEEE
Open Access	0