Welcome message for the Special issue on: IoT-as-a- Service from the Editors-in-Chief
Journal Title: EAI Endorsed Transactions on Cloud Systems - Year 2015, Vol 1, Issue 1
Abstract
On behalf of the Editorial board, we welcome you to the inaugural issue of the ICST Transactions on IoT-asa-Service! We are delighted to launch this new transactions journal after a preparatory process that has received encouraging support from the Editorial Board and from ICST / EAI. The Internet of Things (IoT) era is widely seen as looming just around the corner, expected to have a significant impact on most aspects of entities of all kinds, from citizens through enterprises small and large to government bodies. The amount of smart devices is huge and grows in a staggering rate, while connectivity gets a wider coverage. Smart objects get immersed in everyday life and the amount and variety of contextual data they can produce, or the actions they can take on their immediate environment, is enormous. At the same time smart objects are becoming more capable and sophisticated by having stronger processing power, larger amounts of storage, and longer battery life. For this trend to have a big impact, be successful, and be widely adopted and useful it needs to be tightly integrated with the most advanced operational technology trend manifested by a cloud backed “Everything as a Service”. IoT poses various specific challenges, which are not yet covered by existing cloud offerings, chief among these are the heterogeneity, security and scalability issues. In addition, developing and deploying IoT based applications should be made as accessible as possible such that the entry barrier for new innovations in this area is lowered.
Authors and Affiliations
Benny Mandler, David Carrera
Keywords
Related Articles
- EP ID EP45548
- DOI http://dx.doi.org/10.4108/cs.1.1.e1
- Views 417
- Downloads 0
Monitoring as-a-service to drive more efficient future system design
In the services world, the expected benefits are the fastest time to market, lower costs, greater consistency in the application, and increased agility. The reuse and sharing properties of software components are useful...
A Dynamic Self-adaptive Resource-Load Evaluation Method in Cloud Computing
Cloud resource and its load have dynamic characteristics. To address this challenge, a dynamic self-adaptive evaluation method (termed SDWM) is proposed in this paper. SDWM uses some dynamic evaluation indicators to eval...
A performance model of the Trusted Cloud Computing Platform VM Launch Protocol
The adoption of the cloud computing paradigm is associated with increasing security concerns. Cloud computing service models (SaaS, PaaS and IaaS) are exposed to different security threats in each level of services. The...
Security Analytics and Benchmarking Log Aggregation in the Cloud
With increase in popularity of Cloud computing, most organizations are moving towards the Cloud. The main concern for these organizations when migrating to the Cloud is securing their data in the Cloud. There are securit...
A Model Transformation Tool: PMIF+ to QNAP
An extension to the Performance Model Interchange Format (PMIF+) to move models among tools has been recently introduced. The original PMIF was limited to models solvable with efficient, exact solution methods such as me...