Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. Approximately half (43%) of organizations and even 79% of enterprises of the highest Workload Automation maturity level are currently taking advantage of private or public cloud resources for Workload Automation. Based on these business reasons, the "automatic creation of additional server resources following increased demand" is the key capability offered by 43% of cloud environments. Security is the key reason for not placing more workloads into the public (69%) or private (48%) cloud. When drilling down deeper into compliance obstacles of placing jobs into the public cloud, EMA finds HIPAA (38%), SOX (30%) and FISMA (18%) to be the most important. Ultimately, the IT Director role generally decides (in 47% of cases) whether specific jobs and workflows should be placed in a physical, virtual, private cloud or public cloud environment. A surprising 60% of organizations are using private or public cloud to create "additional peak time capacity".
For the 90% of organizations that cannot freely move all workloads, the majority named "improved job virtualization" (49%), "improved resource pooling (45%) and "more flexible security management" (44%) as the key obstacles that must be resolved before workloads can move freely. The ability to automatically reclaim unused infrastructure resources is the most important future Workload Automation-related cloud requirement (35%).
Workload Automation groups see the incredible advantage of private and public cloud and this research shows that a surprising number of production workloads already run in the cloud. The IADIS CELDA 2010 conference aims to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. Editors of this special issue selected a number of papers presented at IADIS CELDA 2010 conference that were very highly rated by reviewers, well received at the conference, and nicely complementary in terms of research, theory, and implications for learning and instruction. Although the papers are in English, most of the authors are from either Eastern Europe or East Asia. I've been reading this article for awhile now because this is something that I've struggled with. Return to top of page This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

SlideShare utilise les cookies pour ameliorer les fonctionnalites et les performances, et egalement pour vous montrer des publicites pertinentes. Interestingly "CAPEX savings" are much more important to large enterprises (42%) than they are to midsize (33%) or small organizations (22%). For smaller enterprises the "automatic reclamation of unused resources" is the most common cloud feature.
However, only one third (28%) of organizations do not have to worry about regulatory compliance at all. Organizations are looking for a "job virtualization platform" that enables them to define workflows that are abstracted from their underlying infrastructure, similar to the way virtual machines are abstracted from their hosts.
In a next step, Stonebranch provides easy to implement solutions for abstracting workloads from their hosts and for providing central governance, SLA management and security for these jobs. 15, No.1, has a special edition on technology supported cognition and exploratory learning. There have been advances in both cognitive psychology and computing that have affected the educational arena. These papers have been edited and revised based on feedback from conference participants and subsequent review by the editors of this special issue and reviewers recruited to assist in this process. Especially when it comes to the number of agents required to run a large business, the initial expense for licensing these agents can be tremendous.
As expected, "automatic workload placement based on compliance policies" is the least common; however, at 37% it is still a surprisingly widespread capability. Larger organizations more often named HIPAA (48%), SOX (34%) and FISMA (30%) than smaller ones. This EMA research shows that cloud already is an important resource for Workload Automation. Due to the specific hardware, operating system and software requirements of batch jobs, this abstraction is often challenging. The convergence of these two disciplines is increasing at a fast pace and affecting academia and professional practice in many ways.

The organizing committee of IADIS CELDA 2010 proposed a special issue of Educational Technology & Society Journal based on selected papers from IADIS CELDA 2010.
Consultez notre Politique de confidentialite et nos Conditions d’utilisation pour en savoir plus. These numbers show that vendors of private and public cloud are well advised to proactively address compliance concerns in a cloud context. This is the case as the CTOs and CIOs believe that "automatic reclamation" is a problem that has already been solved, when only 32% of IT operations staff agrees. Paradigms such as just-in-time learning, constructivism, student-centered learning and collaborative approaches have emerged and are being supported by technological advancements such as simulations, virtual reality and multi-agents systems. Overall, it is striking that there is more than just one main business driver for adopting cloud for Workload Automation. 34, No.2This ODLAA Publication is licensed CC-BY-NC-ND and is now available free of charge at ResearchGate.
The fact that "elasticity," "scalability" and "speed" are the vital reasons for Workload Automation taking advantage of cloud demonstrates that Workload Automation is not the static discipline it used to be. Workload Automation staff feels the complexity pressure from business units to react more quickly and flexibly. In other words, the availability of cloud resources has opened up a completely new set of opportunities to make Workload Automation more efficient. This automatically leads to the Workload Automation team better being able to serve business units.

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