Organizations are showing great interest in storing data on public clouds. This could be a result of the unprecedented growth of data recorded in the last few years. However the security issues associated with data storage over cloud is a major discouraging factor for potential adopters. Hence the focus of today is to find cryptographic techniques that will offer more than confidentiality. Homo...

The growing proliferation of cloud platform ecosystems demands a deeper understanding of the capabilities that help existing and emerging platform providers to be successful by creating and appropriating value. This multiple case study of four cloud platform providers (three large, one SME) instantiates Rai and Tang’s (2014) framework of dyadic IT and network IT capabilities for a cloud platfor...

Cloud computing platform gives people the opportunity for sharing resources, services and information among the people of the whole world. In private cloud system, information is shared among the persons who are in that cloud. Presently, different types of internet based systems are running in Cloud Computing environment. E-commerce is one of them. Present models are not secured enough for exec...

Nowadays Cloud Computing has gained in importance at a remarkable pace. The key characteristic of this technology is the possibility to provide new resources to the services in an elastic way according to current demand. In contrast to Cloud Computing, Multiagent Systems are focus on other features such as autonomy, decentralization, auto-organization, etc. This study demonstrates that this fea...

Recent studies show the increasing popularity of distributed cloud applications, which are composed of multiple microservices. Besides their known benefits, microservice architecture also enables to mix and match cloud applications and Network Function Virtualization (NFV) services (service chains), which are composed of Virtual Network Functions (VNFs). Provisioning complex services containing...

This paper describes preliminary work in developing a modeldriven approach to conducting price/performance tradeo s for Cloudbased MapReduce application deployment. The need for this work stems from the signi cant variability in both the MapReduce application characteristics and price/performance characteristics of the underlying cloud platform. Our approach involves a model-based machine learn...