scholarly journals Laniakea: an open solution to provide Galaxy “on-demand” instances over heterogeneous cloud infrastructures

GigaScience ◽  
2020 ◽  
Vol 9 (4) ◽  
Author(s):  
Marco Antonio Tangaro ◽  
Giacinto Donvito ◽  
Marica Antonacci ◽  
Matteo Chiara ◽  
Pietro Mandreoli ◽  
...  
Keyword(s):  
Data Privacy ◽  
Optimal Solution ◽  
Cloud Services ◽  
Single Server ◽  
Software Infrastructure ◽  
Public And Private ◽  
Complete Control ◽  
Platform As A Service ◽  
On Demand ◽  
Demand Service

Abstract Background While the popular workflow manager Galaxy is currently made available through several publicly accessible servers, there are scenarios where users can be better served by full administrative control over a private Galaxy instance, including, but not limited to, concerns about data privacy, customisation needs, prioritisation of particular job types, tools development, and training activities. In such cases, a cloud-based Galaxy virtual instance represents an alternative that equips the user with complete control over the Galaxy instance itself without the burden of the hardware and software infrastructure involved in running and maintaining a Galaxy server. Results We present Laniakea, a complete software solution to set up a “Galaxy on-demand” platform as a service. Building on the INDIGO-DataCloud software stack, Laniakea can be deployed over common cloud architectures usually supported both by public and private e-infrastructures. The user interacts with a Laniakea-based service through a simple front-end that allows a general setup of a Galaxy instance, and then Laniakea takes care of the automatic deployment of the virtual hardware and the software components. At the end of the process, the user gains access with full administrative privileges to a private, production-grade, fully customisable, Galaxy virtual instance and to the underlying virtual machine (VM). Laniakea features deployment of single-server or cluster-backed Galaxy instances, sharing of reference data across multiple instances, data volume encryption, and support for VM image-based, Docker-based, and Ansible recipe-based Galaxy deployments. A Laniakea-based Galaxy on-demand service, named Laniakea@ReCaS, is currently hosted at the ELIXIR-IT ReCaS cloud facility. Conclusions Laniakea offers to scientific e-infrastructures a complete and easy-to-use software solution to provide a Galaxy on-demand service to their users. Laniakea-based cloud services will help in making Galaxy more accessible to a broader user base by removing most of the burdens involved in deploying and running a Galaxy service. In turn, this will facilitate the adoption of Galaxy in scenarios where classic public instances do not represent an optimal solution. Finally, the implementation of Laniakea can be easily adapted and expanded to support different services and platforms beyond Galaxy.

scholarly journals Laniakea: an open solution to provide Galaxy “on-demand” instances over heterogeneous cloud infrastructures

2018 ◽  
Author(s):  
Marco Antonio Tangaro ◽  
Giacinto Donvito ◽  
Marica Antonacci ◽  
Matteo Chiara ◽  
Pietro Mandreoli ◽  
...  
Keyword(s):  
Data Privacy ◽  
Rapid Development ◽  
Large Data ◽  
Cloud Infrastructure ◽  
Software Suite ◽  
Software Infrastructure ◽  
Platform As A Service ◽  
On Demand ◽  
Heterogeneous Cloud ◽  
Cloud Infrastructures

AbstractBackgroundGalaxy is rapidly becoming the de facto standard among workflow managers for bioinformatics. A rich feature set, its overall flexibility, and a thriving community of enthusiastic users are among the main factors contributing to the popularity of Galaxy and Galaxy based applications. One of the main advantages of Galaxy consists in providing access to sophisticated analysis pipelines, e.g., involving numerous steps and large data sets, even to users lacking computer proficiency, while at the same time improving reproducibility and facilitating teamwork and data sharing among researchers. Although several Galaxy public services are currently available, these resources are often overloaded with a large number of jobs and offer little or no customization options to end users. Moreover, there are scenarios where a private Galaxy instance still constitutes a more viable alternative, including, but not limited to, heavy workloads, data privacy concerns or particular needs of customization. In such cases, a cloud-based virtual Galaxy instance can represent a solution that overcomes the typical burdens of managing the local hardware and software infrastructure needed to run and maintain a production-grade Galaxy service.ResultsHere we present Laniakea, a robust and feature-rich software suite which can be deployed on any scientific or commercial Cloud infrastructure in order to provide a “Galaxy on demand” Platform as a Service (PaaS). Laying its foundations on the INDIGO-DataCloud middleware, which has been developed to accommodate the needs of a large number of scientific communities, Laniakea can be deployed and provisioned over multiple architectures by private or public e-infrastructures. The end user interacts with Laniakea through a front-end that allows a general setup of the Galaxy instance, then Laniakea takes charge of the deployment both of the virtual hardware and all the software components. At the end of the process the user has access to a private, production-grade, yet fully customizable, Galaxy virtual instance. Laniakea’s supports the deployment of plain or cluster backed Galaxy instances, shared reference data volumes, encrypted data volumes and rapid development of novel Galaxy flavours, that is Galaxy configurations tailored for specific tasks. As a proof of concept, we provide a demo Laniakea instance hosted at an ELIXIR-IT Cloud facility.ConclusionsThe migration of scientific computational services towards virtualization and e-infrastructures is one of the most visible trends of our times. Laniakea provides Cloud administrators with a ready-to-use software suite that enables them to offer Galaxy, a popular workflow manager for bioinformatics, as an on-demand PaaS to their users. We believe that Laniakea can concur in making the many advantages of using Galaxy more accessible to a broader user base by removing most of the burdens involved in running a private instance. Finally, Laniakea’s design is sufficiently general and modular that could be easily adapted to support different services and platforms beyond Galaxy.

scholarly journals The impact of cloud computing on the future of academic library practices and services

2013 ◽  
Vol 114 (3/4) ◽  
pp. 132-141 ◽  
Author(s):  
Judith Mavodza
Keyword(s):  
Cloud Computing ◽  
Data Privacy ◽  
Academic Library ◽  
Information Access ◽  
Fair Use ◽  
Cloud Services ◽  
Content Type ◽  
Platform As A Service ◽  
The Future ◽  
The Impact

PurposeThe purpose of this paper is to discuss issues involved in navigating the modern information environment where the relevance of cloud computing is unavoidable. This is a way of shifting from the hardware and software demands of storing and organizing data, to information access concerns. That is because with the exponential growth in information sources and all accompanying complexities, the limited capacity of libraries to host their own in its entirety necessitates opting for alternatives in the cloud.Design/methodology/approachA review of current literature about the topic was performedFindingsLiterature used reveals that currently, libraries are using the cloud for putting together user resources, i.e. using Software as a Service (SaaS), such as in library catalogues, WorldCat, Googledocs, and the aggregated subject gateways like SUMMON, and others; the web Platform as a Service (PaaS) as in the use of GoogleApp Engine; or Infrastructure as a Service (IaaS) as in the use of D‐Space, FEDORA, and others. The cloud is confirmed as a facilitator in storing and accessing information in addition to providing a unified web presence with reduced local storage capacity challenges.Originality/valueThe value of these findings is to remind librarians of the shift in focus towards which devices provide the easiest access to data and applications. This is one of the reasons they in many instances are currently having to address issues relating to the use of electronic media tools such as smartphones, iPad, e‐book readers, and other handheld devices. The largely borderless information resources also bring to the forefront considerations about digital rights management, fair use, information security, ownership and control of data, privacy, scholarly publishing, copyright guidance, and licensing that the librarian has to be knowledgeable about. It has become necessary for librarians who make use of commercial cloud services to be conversant with the implications on institutional data. To avert the ever present dangers and risks involving cyber‐security, it is usually practical for institutions to keep policies, procedures, fiscal, and personnel data in private clouds that have carefully crafted access permissions. Being aware of these implications enables thoughtful, adaptive planning strategies for the future of library practice and service.

An analysis of QoS ranking prediction framework techniques

2019 ◽  
Vol 33 (01) ◽  
pp. 1850420 ◽  
Author(s):  
Harsimran Kaur ◽  
Anurag Rai ◽  
Sarvjit Singh Bhatia
Keyword(s):  
Real World ◽  
Cloud Service ◽  
Cloud Services ◽  
Cloud Service Provider ◽  
The Real ◽  
Functional Activities ◽  
On Demand ◽  
The Right ◽  
Demand Service

In the real world, building the high quality cloud computing framework is the challenge for the researcher in the present scenario where on demand service is required. The services which are performing the non-functional activities are referred to as Quality-of Service (QoS). The experience of real-world usage services are generally required to obtain the QoS. Many organizations offer various cloud services, such as Amazon, HP and IBM, to the customers. No technique is available to measure the real-world usage and estimate the ranking of the cloud services. From the customer side, it is a very tough job to choose the right cloud service provider (SP), which fulfills all the requirements of the customers. To avoid the confusion to select the right CSP, this paper proposes QoS ranking prediction methods such as Cloud Rank1, Cloud Rank2 and Cloud Rank3. Various experiments are done on the real-world QoS data by using EC2 services of Amazon and providing healthy results and solutions.

scholarly journals PURA-SCIS Protocol: A Novel Solution for Cloud-Based Information Sharing Protection for Sectoral Organizations

Symmetry ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2347
Author(s):  
Fandi Aditya Putra ◽  
Kalamullah Ramli ◽  
Nur Hayati ◽  
Teddy Surya Gunawan
Keyword(s):  
Information Sharing ◽  
Private Information ◽  
Privacy Protection ◽  
Data Privacy ◽  
Privacy Preservation ◽  
Cloud Services ◽  
Sensitive Information ◽  
Public And Private ◽  
Related Information ◽  
Public Verifiability

Over recent years, the incidence of data breaches and cyberattacks has increased significantly. This has highlighted the need for sectoral organizations to share information about such events so that lessons can be learned to mitigate the prevalence and severity of cyber incidents against other organizations. Sectoral organizations embody a governance relationship between cross-sector public and private entities, called public-private partnerships (PPPs). However, organizations are hesitant to share such information due to a lack of trust and business-critical confidentially issues. This problem occurs because of the absence of any protocols that guarantee privacy protection and protect sensitive information. To address this issue, this paper proposes a novel protocol, Putra-Ramli Secure Cyber-incident Information Sharing (PURA-SCIS), to secure cyber incident information sharing. PURA-SCIS has been designed to offer exceptional data and privacy protection and run on the cloud services of sectoral organizations. The relationship between organizations in PURA-SCIS is symmetrical, where the entities must collectively maintain the security of classified cyber incident information. Furthermore, the organizations must be legitimate entities in the PURA-SCIS protocol. The Scyther tool was used for protocol verification in PURA-SCIS. The experimental results showed that the proposed PURA-SCIS protocol provided good security properties, including public verifiability for all entities, blockless verification, data privacy preservation, identity privacy preservation and traceability, and private information sharing. PURA-SCIS also provided a high degree of confidentiality to protect the security and integrity of cyber-incident-related information exchanged among sectoral organizations via cloud services.

scholarly journals Client/Server Model of Data Privacy using Extended Playfair Cipher for SaaS Applications on the Cloud

2019 ◽  
Vol 8 (10) ◽  
pp. 1933-1936 ◽  
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Privacy ◽  
Cloud Model ◽  
Cloud Services ◽  
Sensitive Data ◽  
The Public ◽  
Security Issues ◽  
On Demand ◽  
Self Service

Cloud Computing is a paradigm of distributed computing that delivers on-demand and utility-based services to its customers. It provides a set of shared computing resources such as networking, servers, storage, and applications in the form of services to an organization or an individual. The major benefits of cloud computing include on-demand self-service and cost-effectiveness. For the customer, there is no up-front cost for setting up and running the applications on the cloud. Despite the benefits provided by various cloud services, the outsourcing of data storage and computation raise many new security issues. One of such security issues that have to be addressed before uploading our sensitive data to the cloud is data privacy. With the cloud model, end-users lose control over the physical location of data, because data will be stored and processed elsewhere on the globe and not in the local computer. Hence, we need an algorithm for encrypting the data that can be stored and retrieved from a database managed by the public cloud.

scholarly journals On-demand Service Deployment Strategies for Fog-as-a-Service Scenarios

2021 ◽  
pp. 1-1
Author(s):  
Arash Bozorgchenani ◽  
Daniele Tarchi ◽  
Walter Cerroni
Keyword(s):  
On Demand ◽  
Service Deployment ◽  
Demand Service

scholarly journals Secure Framework Enhancing AES Algorithm in Cloud Computing

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Ijaz Ahmad Awan ◽  
Muhammad Shiraz ◽  
Muhammad Usman Hashmi ◽  
Qaisar Shaheen ◽  
Rizwan Akhtar ◽  
...  
Keyword(s):  
Data Privacy ◽  
Security Threats ◽  
Privacy And Security ◽  
Plain Text ◽  
Aes Algorithm ◽  
Confidential Data ◽  
Network Usage ◽  
Data Centres ◽  
Demand Service ◽  
Remote Data

The tremendous growth of computational clouds has attracted and enabled intensive computation on resource-constrained client devices. Predominantly, smart mobiles are enabled to deploy data and computational intensive applications by leveraging on the demand service model of remote data centres. However, outsourcing personal and confidential data to the remote data servers is challenging for the reason of new issues involved in data privacy and security. Therefore, the traditional advanced encryption standard (AES) algorithm needs to be enhanced in order to cope with the emerging security threats in the cloud environment. This research presents a framework with key features including enhanced security and owner’s data privacy. It modifies the 128 AES algorithm to increase the speed of the encryption process, 1000 blocks per second, by the double round key feature. However, traditionally, there is a single round key with 800 blocks per second. The proposed algorithm involves less power consumption, better load balancing, and enhanced trust and resource management on the network. The proposed framework includes deployment of AES with 16, 32, 64, and 128 plain text bytes. Simulation results are visualized in a way that depicts suitability of the algorithm while achieving particular quality attributes. Results show that the proposed framework minimizes energy consumption by 14.43%, network usage by 11.53%, and delay by 15.67%. Hence, the proposed framework enhances security, minimizes resource utilization, and reduces delay while deploying services of computational clouds.

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