The lack of standardized descriptions of cloud services hinders their discovery. In an effort to standardize cloud service descriptions, several works propose to use ontologies. Nevertheless, the adoption of any of the proposed ontologies calls for an evaluation to show its efficiency in cloud service discovery. Indeed, the existing cloud providers describe, their similar offered services in di...

This study aims to overcome the principal problems in the current information-support–platformoriented digital oilfield. These problems include a low utilization efficiency of the software and hardware resources, the high maintenance cost of the system, and limited automatic control. Starting with the existing software and hardware resources and with the current pattern of use of cloud computin...

Cloud manufacturing is defined as a relationship between the consumer and a flexible array of production services, managed by an intervening architecture that can match service providers to product and manufacturing processes Cloud manufacturing definitions typically make explicit or imply three groups of actors: consumers, who request and use cloud manufacturing processes; application provider...

Cloud Computing is an emerging technology evolving to the new computing framework. Scheduling of task and allocation of virtualized resources in such a widely distributed dynamic environment is a challenging assignment. Attaining proficiency and providing fairness to tasks execution is the primary consideration of the task scheduling algorithm. The objective of this paper is to give a comparati...

By building Moodle learning environment in the cloud platform , and the design of teaching process of the corresponding with the author's teaching practice in Moodle from the cloud platform selection, learning environment to build and curriculum design, with adult education computer course as an example, the blended learning based on Moodle was discussed, the teaching practice shows that cloud ...

—The energy consumption is considered as key factors of green cloud computing to achieve resource allocation. To address the issue of high energy consumption and low efficiency of cloud computing, this paper proposes a powerefficient immune clonal optimization algorithm (PEICO) based on dynamic load balancing strategy and immune clonal selection theory in green cloud computing. The experimenta...

Data access control is an effective way to ensure the data security in the cloud. Due to data outsourcing and untrusted cloud servers, the data access control becomes a challenging issue in cloud storage systems. Ciphertext-Policy Attribute-based Encryption (CP-ABE), as a promising technique for access control of encrypted data, is very suitable for access control in cloud storage systems due t...

Cloud computing and big data are two core services in many organizations. Combining a big data platform, such as Hadoop, into the cloud architecture using virtualization technique will result in losing the performance benefit of MapReduce. Unique for the existing virtualized big data cloud, this work introduces an innovative cloud architecture called the heterogeneous cloud. In the heterogeneou...

In order to meet the increasing processing demand of data intensive computing, an elasticdata intensive computing cluster EDICC is presented. Using local resource and cloud resource at the same time, EDICC has high availability and reliability, especially when flash crowd happens. EDICC could acquire resource from cloud when system is overloaded and release unnecessary cloud resource after load...

To ensure security, encryption techniques play a major role when data are outsourced to the cloud. Problem of retrieving the data from the cloud servers is considered. Many searching techniques are used for retrieving the data. This study focused on a set of keyword based search algorithms. It provides secure data retrieval with high efficiency. It concludes Ranked Searchable Symmetric Encrypti...