A scalable multi-attribute hybrid overlay for range queries on the cloud

Wen

International Journal of Genomics

et al. 2013

Bioinformatics is advanced from in-house computing infrastructure to cloud computing for tackling the vast quantity of biological data. This advance enables large number of collaborative researches to share their works around the world. In view of that, retrieving biological data over the internet becomes more and more difficult because of the explosive growth and frequent changes. Various efforts have been made to address the problems of data discovery and delivery in the cloud framework, but most of them suffer the hindrance by a MapReduce master server to track all available data. In this paper, we propose an alternative approach, called PRKad, which exploits a Peer-to-Peer (P2P) model to achieve efficient data discovery and delivery. PRKad is a Kademlia-based implementation with Round-Trip-Time (RTT) as the associated key, and it locates data according to Distributed Hash Table (DHT) and XOR metric. The simulation results exhibit that our PRKad has the low link latency to retrieve data. As an interdisciplinary application of P2P computing for bioinformatics, PRKad also provides good scalability for servicing a greater number of users in dynamic cloud environments.

Section: Methodsmentioning

confidence: 99%

“…Lai and Yu used the vector of different attributes as key parameters to reserve resources [27]. The resources with the same vector are aggregated to form the attribute groups.…”

Section: Methodsmentioning

confidence: 99%

A P2P Framework for Developing Bioinformatics Applications in Dynamic Cloud Environments

Wen

International Journal of Genomics

et al. 2013

“…PaaS eliminates the cost and complexity of managing the underlying hardware and software layers required during software development. IaaS is an established paradigm in cloud computing for the provisioning of baseline computing resources and services such as computational power and data servers that are virtualized (Yuan et al, 2018(Yuan et al, , 2022Lai & Yu, 2012).…”

Section: Related Literaturementioning

confidence: 99%

Exploring the Role of Organizational Mindfulness on Cloud Computing and Firm Performance: The Case of Kenyan Organizations

Oredo

Dennehy

2022

Inf Syst Front

The popularity and use of cloud computing has largely been driven by the reported benefits on firm performance. Despite this technology providing a paradigm shift in information technology (IT) services, the process through which the adoption of cloud computing effects organizational performance in the context of developing countries is still unclear. The aim of this study is to provide a theoretical discussion that advances our understanding about the mediating and moderating roles of organizational mindfulness in the context of cloud computing adoption and organizational performance. A research model is developed and tested using structural equation modelling. A firm level cross sectional survey was conducted on a sample of 180 organizations in the financial, manufacturing and IT sectors in Kenya. The findings reveal that organizations need to systematically develop mindfulness capabilities to benefit from the adoption of cloud, and IT innovations in general. The study has implications for research and practice.

Concurrency and Computation

“…Lai and Yu proposed another load balancing mechanism named as multi attribute hybrid overlay technique. It uses vector representation of some attribute to reserve resources for achieving low task migration time.…”

Section: Related Workmentioning

confidence: 99%

Magnum opus of an efficient hospitality technique for load balancing in cloud environment

Sakthivelmurugan

Vimala

Britto

2018

Summary The load balancing approach in the cloud environment is an open issue in the recent days. It helps obtain better resource utilization in cloud environment. It also improves the performance of the system. A good load balancing algorithm in cloud ensures no under loading or over loading in a single host. This paper proposes an algorithm named Hospitality Load Balancing (HLB) algorithm, which aims to balance the load among virtual machines (VM) for increasing the performance and throughput. The proposed algorithm handles preemptive or nonpreemptive tasks, which may be independent. It helps to reduce make span and obtain low task migration. The HLB algorithm has been analyzed and compared with plenty of load balancing technique. An experimental result shows that it is an excellent and effective algorithm when compared with the existing load balancing algorithm. It also illustrates the performance of proposed load balancing scheme with analysis and proves that it attains low makespan and low task migration.