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Graph data management and mining in HPC environments has been a widely discussed issue in recent times. In this talk I will describe the use of Partitioned Global Address Space languages for graph data mining and management. I will first discuss the rationale behind X10 based graph libraries and graph database benchmarks using ScaleGraph and XGDBench as examples. Next, I will take Acacia which is...
We explore in this paper the design of a Cloud-RAN architecture. We study the problem of determining the required computing capacity for hosting software-based Base Band Units (BBUs) of various eNodeBs in a data center. A worst-case analysis in terms of execution time of BBU functions is then performed. We specifically investigate how to reduce their runtime and thus to increase the concentration...
The majority of business activity of our integrated and connected world takes place in networks based on cloud computing infrastructure that cross national, geographic and jurisdictional boundaries. Such an efficient entity interconnection is made possible through an emerging networking paradigm, Software Defined Networking (SDN) that intends to vastly simplify policy enforcement and network reconfiguration...
With the evolution towards the Fifth Generation of Mobile Communications (5G), Software-based Networks are paving the way to a radical transformation of Network Operators infrastructures. Novel technologies like Network Function Virtualisation (NFV) and Software Defined Network (SDN) are enabling new way of managing on-demand network resources. Focusing on the Mobile Core Network architecture, Service...
The 5G ESSENCE project context is based on the concept of Edge cloud computing and Small Cell-as-a-Service (SCaaS) and further “promotes” their role and/or influences within the related 5G vertical markets. 5G ESSENCE's core innovation is focused upon the development/provision of a highly flexible and scalable platform, offering benefits to the involved market actors. The present work identifies a...
We present a testbed implementation for the development, evaluation and demonstration of security orchestration in a network function virtualization environment. As a specific scenario, we demonstrate how an intelligent response to DDoS and various other kinds of targeted attacks can be formulated such that these attacks and future variations can be mitigated. We utilise machine learning to characterise...
Task stragglers dramatically impede parallel job execution of data-intensive computing in Cloud Datacenters Due to the uneven distribution of input data resulted from heterogeneous data nodes, resource contention situations, and network configurations, it causes delay failures due to the violation of job completion time. However, data-intensive computing frameworks, such as MapReduce or Hadoop, employ...
With the penetration of new technologies, there is a rapid growth of internet users and data (mostly unstructured) generated by those users on the internet. As scraping is one of the major sources for extraction of unstructured data from the Internet, we have analyzed the scraping process when introduced to a bulk of data extraction. We faced several challenges while scraping large amount of data,...
This paper proposes an approach to optimize service placement on Fog landscape in the context of the Internet of Things (IoT). A multi-tier fog computing architecture that supports IoT service provision is devised. Based on this architecture, a novel service placement mechanism that optimizes service decentralization on Fog landscape leveraging context-aware information such as location, time, quality...
Current solutions for sensor-cloud integration do not offer tools or platforms providing both efficient data management and standardized interfaces for the development of WSN-based applications on a shared infrastructure. This paper proposes a new architecture based on the paradigm of Service-Oriented Computing and virtualization of sensors for efficient management of heterogeneous WSNs data. The...
Background: Cloud based integrated development environments (IDEs) are rapidly gaining popularity for its native support and potential to accelerate DevOps. However, there is little research of how developers behave when interacting with these environments. Aims: To develop empirical knowledge about how developers behave when interacting with cloud based IDEs to deal with programming tasks at various...
Through analyzing the characteristics of the data processing in the environment of cloud computing, the author puts forward the distributed optimization storage model based on hash distribution. Based on massive amounts of data distribution, this model completed the data backup protocol based on master copy of distributed design and the Paxos distributed system protocol design on the basis of the...
Internet-based online cloud services provide enormous volumes of storage space, tailor made computing resources and eradicates the obligation of native machines for data maintenance as well. Cloud storage service providers claim to offer the ability of secure and elastic data-storage services that can adapt to various storage necessities. Most of the security tools have a finite rate of failure, and...
In recent years, small and medium organizations have migrated to the cloud. Cloud computing provides information technology (IT) services, which can be found with Internet access from any place at any time. One can get services through application software like web browsers and mobile applications. Virtualization indicates the main concept to manage an IT infrastructure and data centers in the cloud...
Hybrid cloud is an emerging cloud deployment model that integrates public and private clouds. The key technology in building a hybrid cloud environment is the method of integration of different types of clouds. However, research on cloud integration technology and related solutions is lacking. Therefore, the adoption of hybrid cloud environment has been delayed. In this paper, we propose a hybrid...
Due to the cost-effectiveness and scalable features of the cloud the demand of its services is increasing every next day. Quality of Service (QOS) is one of the crucial factor in forming a viable Service Level Agreement (SLA) between a consumer and the provider that enable them to establish and maintain a trusted relationship with each other. SLA identifies and depicts the service requirements of...
The adoption of cloud computing has increased significantly, but this has given rise to the problem of efficient energy usage. The efficient use of energy by data centers and the use of virtual machines can help to minimize cost deadlines, resources, and utilization and execution times. There is a consequent need for different approaches that can reduce energy consumption whilst still achieving the...
In the context of the Open Network Automation Platform (ONAP), we develop in this paper a resource allocation strategy for deploying Virtualized Network Functions (VNFs) on distributed data centers. For this purpose, we rely on a three-level data center hierarchy exploiting co-location facilities available within Main and Core Central Offices. We precisely propose an active VNFs' placement strategy,...
The emergence of 5G wireless and IoT (Internet of Things) technologies, as well as the continuous evolution of cloud computing is driving the need for easy and on-demand creation of end-to-end network services. We have developed an integrated system called the end-to-end network service orchestrator, which realizes seamless service orchestration across multiple on-premises and cloud infrastructures...
In an earlier study, we observed that students in a small graduate class who used Cloud Computing (CC) for their programming assignments improved their analysis-to-reuse (A2R) skills more than students who didn't use CC. That preliminary result motivated us to see if the use of CC in programming assignments would yield similar results for a broader range of classes and students. To this end, this...
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