A Cost-Effective Delay Model for Leased Data Centers to Establish Private Cloud Computing Services

<p>Cloud services are offered by many cloud service providers, but in for large companies generally are build by a private cloud computing. In cloud systems of abuse it can be done by internal users or due to misconfiguration or may also refer to weaknesses in the system. This study evaluated the ADAM method (Advanced Data Acquisition Model) and tested the case schemes which are being carried out in the laboratory simulation of the process in order to obtain forensic evidence of digital data on private cloud computing services. Referring to the results of the investigation process by using ADAM Method, it can be verified that there are several parameters of the success investigation including the structure of files, files, time stamp, mac-address, IP address, username password, and the data from a server both from the desktop PC or smartphone, therefore the investigation by using ADAM can be succesed properly and correctly. Another contribution of this study was to identify the weaknesses of the service system that used owncloud in users list of the the same group can change another’s user’s passwod.</p>

Download Full-text

Investigation on the Services of Private Cloud Computing by Using ADAM Method

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v6i5.11527 ◽

2016 ◽

Vol 6 (5) ◽

pp. 2387

Author(s):

Nur Widiyasono ◽

Imam Riadi ◽

Ahmad Luthfie

Keyword(s):

Cloud Computing ◽

Service Providers ◽

Cloud Service ◽

Cloud Services ◽

Digital Data ◽

Laboratory Simulation ◽

Private Cloud ◽

Computing Services ◽

Cloud Computing Services ◽

Private Cloud Computing

<p>Cloud services are offered by many cloud service providers, but in for large companies generally are build by a private cloud computing. In cloud systems of abuse it can be done by internal users or due to misconfiguration or may also refer to weaknesses in the system. This study evaluated the ADAM method (Advanced Data Acquisition Model) and tested the case schemes which are being carried out in the laboratory simulation of the process in order to obtain forensic evidence of digital data on private cloud computing services. Referring to the results of the investigation process by using ADAM Method, it can be verified that there are several parameters of the success investigation including the structure of files, files, time stamp, mac-address, IP address, username password, and the data from a server both from the desktop PC or smartphone, therefore the investigation by using ADAM can be succesed properly and correctly. Another contribution of this study was to identify the weaknesses of the service system that used owncloud in users list of the the same group can change another’s user’s passwod.</p>

Download Full-text

Compute functional analysis leveraging the IAAS private cloud computing service model in packstack development

ILKOM Jurnal Ilmiah ◽

10.33096/ilkom.v13i1.693.9-17 ◽

2021 ◽

Vol 13 (1) ◽

pp. 9-17

Author(s):

Mohamad Iqbal Suriansyah ◽

Iyan Mulyana ◽

Junaidy Budi Sanger ◽

Sandi Winata

Keyword(s):

Cloud Computing ◽

Data Storage ◽

Large Scale ◽

Private Cloud ◽

Computing Services ◽

Monitoring Process ◽

Cloud Computing Service ◽

Cloud Computing Services ◽

Self Service ◽

Private Cloud Computing

Analyzing compute functions by utilizing the IAAS model for private cloud computing services in packstack development is one of the large-scale data storage solutions. Problems that often occur when implementing various applications are the increased need for server resources, the monitoring process, performance efficiency, time constraints in building servers and upgrading hardware. These problems have an impact on long server downtime. The development of private cloud computing technology could become a solution to the problem. This research employed Openstack and Packstack by applying one server controller node and two servers compute nodes. Server administration with IAAS and self-service approaches made scalability testing simpler and time-efficient. The resizing of the virtual server (instance) that has been carried out in a running condition shows that the measurement of the overhead value in private cloud computing is more optimal with a downtime of 16 seconds.

Download Full-text

Cloud Services for Healthcare

E-Health and Telemedicine ◽

10.4018/978-1-4666-8756-1.ch036 ◽

2016 ◽

pp. 709-734

Author(s):

Konstantinos Koumaditis ◽

George Pittas ◽

Marinos Themistocleous ◽

George Vassilacopoulos ◽

Andriana Prentza ◽

...

Keyword(s):

Cloud Computing ◽

User Satisfaction ◽

Research Agenda ◽

Cost Effective ◽

Cloud Services ◽

Design And Technology ◽

Business Practices ◽

Computing Services ◽

Cloud Computing Services ◽

Infrastructure Services

Healthcare organisations are forced to reconsider their current business practices and embark on a cloud adoption journey. Cloud-Computing offers important benefits that make it attractive for healthcare (e.g. cost effective model, big data management etc.). Large Information Technology (IT) companies are investing big sums in building infrastructure, services, tools and applications to facilitate Cloud-Computing for healthcare organisations, practitioners and patients. Yet, many challenges that such integration projects contain are still in the e-health research agenda like design and technology requirements to handle big volume of data, ensure scalability and user satisfaction to name a few. The purpose of this chapter is (a) to address the Cloud-Computing services for healthcare in the form of a Personal Healthcare record (PHR) and (b) demonstrate a multidisciplinary project. In doing so, the authors aim at increasing the awareness of this important endeavour and provide insights on Cloud-Computing e-health services for healthcare organisations.

Download Full-text

Benchmarking undedicated cloud computing providers for analysis of genomic datasets.

10.1101/007724 ◽

2014 ◽

Cited By ~ 2

Author(s):

Seyhan Yazar ◽

George EC Gooden ◽

David A Mackey ◽

Alex Hewitt

Keyword(s):

Cloud Computing ◽

Cost Effective ◽

Clock Time ◽

Male Genome ◽

Computing Services ◽

Amazon Web Services ◽

Major Bottleneck ◽

Cloud Computing Services ◽

Biological Discovery ◽

The Cost

A major bottleneck in biological discovery is now emerging at the computational level. Cloud computing offers a dynamic means whereby small and medium-sized laboratories can rapidly adjust their computational capacity. We benchmarked two established cloud computing services, Amazon Web Services Elastic MapReduce (EMR) on Amazon EC2 instances and Google Compute Engine (GCE), using publicly available genomic datasets (E.coli CC102 strain and a Han Chinese male genome) and a standard bioinformatic pipeline on a Hadoop-based platform. Wall-clock time for complete assembly differed by 52.9% (95%CI: 27.5-78.2) for E.coli and 53.5% (95%CI: 34.4-72.6) for human genome, with GCE being more efficient than EMR. The cost of running this experiment on EMR and GCE differed significantly, with the costs on EMR being 257.3% (95%CI: 211.5-303.1) and 173.9% (95%CI: 134.6-213.1) more expensive for E.coli and human assemblies respectively. Thus, GCE was found to outperform EMR both in terms of cost and wall-clock time. Our findings confirm that cloud computing is an efficient and potentially cost-effective alternative for analysis of large genomic datasets. In addition to releasing our cost-effectiveness comparison, we present available ready-to-use scripts for establishing Hadoop instances with Ganglia monitoring on EC2 or GCE.

Download Full-text

Cloud Services for Healthcare

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Delivery and Adoption of Cloud Computing Services in Contemporary Organizations ◽

10.4018/978-1-4666-8210-8.ch012 ◽

2015 ◽

pp. 292-317 ◽

Cited By ~ 1

Author(s):

Konstantinos Koumaditis ◽

George Pittas ◽

Marinos Themistocleous ◽

George Vassilacopoulos ◽

Andriana Prentza ◽

...

Keyword(s):

Cloud Computing ◽

User Satisfaction ◽

Research Agenda ◽

Cost Effective ◽

Cloud Services ◽

Design And Technology ◽

Business Practices ◽

Computing Services ◽

Cloud Computing Services ◽

Infrastructure Services

Healthcare organisations are forced to reconsider their current business practices and embark on a cloud adoption journey. Cloud-Computing offers important benefits that make it attractive for healthcare (e.g. cost effective model, big data management etc.). Large Information Technology (IT) companies are investing big sums in building infrastructure, services, tools and applications to facilitate Cloud-Computing for healthcare organisations, practitioners and patients. Yet, many challenges that such integration projects contain are still in the e-health research agenda like design and technology requirements to handle big volume of data, ensure scalability and user satisfaction to name a few. The purpose of this chapter is (a) to address the Cloud-Computing services for healthcare in the form of a Personal Healthcare record (PHR) and (b) demonstrate a multidisciplinary project. In doing so, the authors aim at increasing the awareness of this important endeavour and provide insights on Cloud-Computing e-health services for healthcare organisations.

Download Full-text

Data Security for Software as a Service

International Journal of Service Science Management Engineering and Technology ◽

10.4018/ijssmet.2015070104 ◽

2015 ◽

Vol 6 (3) ◽

pp. 47-63 ◽

Cited By ~ 22

Author(s):

Pradeep Kumar Tiwari ◽

Sandeep Joshi

Keyword(s):

Cloud Computing ◽

Data Security ◽

Cost Effective ◽

Software As A Service ◽

Security Vulnerabilities ◽

Security Breaches ◽

Security Issues ◽

On Demand ◽

Computing Services ◽

Cloud Computing Services

Cloud computing is a BUZZ word of modern computing scenario. Cloud computing services are flexible and cost effective with resource utilization. Cloud computing have three service models SaaS (Software as a Service) PaaS (Plateform as a Service) and Iaas (Infrastructure as a Service). SaaS provide on demand application services such as email, ERP and CRM etc. Multi user can access applications and they can interact to each other at same time. All users data can be reside at same place. This flexibility of SaaS service also gives the security breaches. Loop holes of SaaS harder to find and maintain. The authors discuss here security vulnerabilities of SaaS with possible solutions. This study would be helpful to elaborate to understand data security issues and privacy solutions over SaaS.

Download Full-text

Analisa Studi Literatur Manfaat Implementasi Komputasi Awan untuk Perusahaan

ComTech Computer Mathematics and Engineering Applications ◽

10.21512/comtech.v5i1.2602 ◽

2014 ◽

Vol 5 (1) ◽

pp. 154

Author(s):

Sulistyo Heripracoyo

Keyword(s):

Information Technology ◽

Cloud Computing ◽

Private Cloud ◽

Technology Infrastructure ◽

Information Technology Infrastructure ◽

Security Issues ◽

Computing Services ◽

Cloud Computing Services ◽

Infrastructure Investments ◽

Operational Activities

Cloud computing is a phenomenon that is currently a lot of attention from practitioners of information technology. Cloud computing can be composed of several types of services that are known to Saas, PaaS and IaaS, public and private cloud computing. Companies that do not invest themselves in the information technology infrastructure to use cloud computing services as a solution. By adopting and implementing a cloud computing services company can shift the cost of information technology infrastructure investments become operational costs by purchasing cloud computing services. Nevertheless, cloud computing, especially for the type of private cloud is still a bit of adopting it, whether it is caused by the absence of reference to the implementation or caused by something else. The purpose of this study was to analyze the adoption of cloud computing that suitable and beneficial for the company in its operational activities. The study was conducted by analysis of some of the literature related to cloud computing, benefits and barriers. According to the analysis of the literature can be explained some of the benefits associated with the adoption of cloud computing. Based on several studies that have been done, the benefits of implementing cloud computing is primarily financial savings and benefits of resource management that is the flexibility and scalability of the company's operations. However, some considerations still need to be done for a company that will implement cloud computing and those things are data security issues, legal issues and the implications for the company.

Download Full-text

An Efficient Improved Weighted Round Robin Load Balancing Algorithm in Cloud Computing

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i3.1.16810 ◽

2018 ◽

Vol 7 (3.1) ◽

pp. 110 ◽

Cited By ~ 5

Author(s):

Manikandan N ◽

Pravin A

Keyword(s):

Cloud Computing ◽

Load Balancing ◽

Data Centers ◽

Lower Cost ◽

Computing Technology ◽

Storage Devices ◽

Computing Services ◽

Cloud Computing Services ◽

Load Balancing Algorithm ◽

Very High

Cloud Computing is an era when various trends showed up. It is the type of development, based solely on the Internet. The computer technology has brought in several changes along the years. SaaS is an architecture that comes under computing technology, involving the use of powerful processors, that helps in transforming data centers, scaling services involving computing technology across all fields. Various trends are opening in the field of Cloud Computing, developed mainly on Internet basis and use of computing technology. The computing architecture of SaaS along with powerful processors, are transforming data centers into a huge scale of pools of computing services. Balancing load efficiently is one of the key areas involved in cloud computing. Services that are of very high quality can be subscribed for lower cost, along with completely reliable network connections with their bandwidth being increased , providing a flexible service residing in remote data centers. Load Balancing is the concept involved in the storage of computing resources. It is the partition of work which requires processing between two or more number of computers and/or CPUs, storage devices which ultimately leads to providing higher efficiency with much faster service. The improved WRR algorithm which is improved has been proposed in order to distribute the workload efficiently, thereby enhancing various other features that are associated with it.

Download Full-text

Streaming Support for Data Intensive Cloud-Based Sequence Analysis

BioMed Research International ◽

10.1155/2013/791051 ◽

2013 ◽

Vol 2013 ◽

pp. 1-16 ◽

Cited By ~ 4

Author(s):

Shadi A. Issa ◽

Romeo Kienzler ◽

Mohamed El-Kalioby ◽

Peter J. Tonellato ◽

Dennis Wall ◽

...

Keyword(s):

Cloud Computing ◽

Data Transfer ◽

Cost Effective ◽

Workflow Systems ◽

Data Intensive ◽

Computing Services ◽

Cloud Computing Services ◽

Computational Resources ◽

Next Generation Sequencing Ngs ◽

Ngs Data

Cloud computing provides a promising solution to the genomics data deluge problem resulting from the advent of next-generation sequencing (NGS) technology. Based on the concepts of “resources-on-demand” and “pay-as-you-go”, scientists with no or limited infrastructure can have access to scalable and cost-effective computational resources. However, the large size of NGS data causes a significant data transfer latency from the client’s site to the cloud, which presents a bottleneck for using cloud computing services. In this paper, we provide a streaming-based scheme to overcome this problem, where the NGS data is processed while being transferred to the cloud. Our scheme targets the wide class of NGS data analysis tasks, where the NGS sequences can be processed independently from one another. We also provide theelastreampackage that supports the use of this scheme with individual analysis programs or with workflow systems. Experiments presented in this paper show that our solution mitigates the effect of data transfer latency and saves both time and cost of computation.

Download Full-text