By reading this paper you can gain the knowledge about Autonomic Computing. I detailed it under the following sub topics.
1.0 Introduction
2.0 Why need Autonomic?
3.0 Major Researches
3.1 Research projects in Autonomic computing.
3.2 University research projects in autonomic computing
4.0 Four basic elements of autonomic computing
4.1self-configuring
4.2self-healing
4.3self-optimizing
4.4 self-protecting
AutonomicComputing Vs Current Computing
5.0 Autonomic computing architecture
6.0. Autonomic computing today
6.1. Initiatives of autonomic computing
6.2. Benefits
6.3. Applications
7.0 What happen if does not have autonomic in the future?
8.0 Autonomic Computing Research Issues and Challenges
9.0 Future direction of Autonomic computing
10.0 Conclusion
5.0 Autonomic Computing architecture
In an autonomic computing architecture, the basic management element is a control loop, depicted in Figure 5.1. This acts as manager of the resource through monitoring, analysis, and actions taken on a set of predefined system policies. These control loops, or managers, can communicate and eventually will negotiate with each other and other types of resources within and outside of the autonomic computing architecture [14].
This collects information from the system and makes decisions based on that data and then issues instructions to make adjustments to the system. An intelligent control loop can provide functionality of autonomous computing, such as the following:
In Figure 5.1, we see the control loop is divided into two basic sub elements:
1. The Managed Element— This can be any component in the autonomous system, such as a server, a database, or a file, or it can be numerous related larger elements, such as a cluster of servers, a complete software application, or even a business unit. This means that managed elements are highly scalable. The sensors and effectors control the managed element.
2. The Autonomic Manager— This manages the collection, filtering, and reports of the data collected from the element from the sensors. It also analyzes, models if necessary, and learns about the element, gaining knowledge. With this knowledge, it can predict future situations. The planning part provides the structure the mechanism needs for the actions it takes to achieve the desired goals and objectives of the autonomous system. The planning part also uses the predefined policies that establish the goals and objectives. These policies are described in the system. The execute part of the autonomic manager provides control of the commands being accomplished. It will establish whether the commands completed their required actions.
The sensors provide the mechanisms to collect data on the state of the element. To trigger the sensors will require a "get" instruction—for example, "get the information of the customer database"—or for the element to change in a material fashion, such as volume or time. An example of the last trigger would be "get the transaction information when the database completes the daily update."
The effectors are the mechanisms that change the state of an element. In other words, they act or alter the configuration of the element from the data provided from the sensors. The effectors are a set of software commands, or application programming interfaces (APIs), that alter the element's configuration.
1.0 Introduction
2.0 Why need Autonomic?
3.0 Major Researches
3.1 Research projects in Autonomic computing.
3.2 University research projects in autonomic computing
4.0 Four basic elements of autonomic computing
4.1self-configuring
4.2self-healing
4.3self-optimizing
4.4 self-protecting
AutonomicComputing Vs Current Computing
5.0 Autonomic computing architecture
6.0. Autonomic computing today
6.1. Initiatives of autonomic computing
6.2. Benefits
6.3. Applications
7.0 What happen if does not have autonomic in the future?
8.0 Autonomic Computing Research Issues and Challenges
9.0 Future direction of Autonomic computing
10.0 Conclusion
5.0 Autonomic Computing architecture
In an autonomic computing architecture, the basic management element is a control loop, depicted in Figure 5.1. This acts as manager of the resource through monitoring, analysis, and actions taken on a set of predefined system policies. These control loops, or managers, can communicate and eventually will negotiate with each other and other types of resources within and outside of the autonomic computing architecture [14].
Figure 5.1 An example of a basic autonomic control loop. |
This collects information from the system and makes decisions based on that data and then issues instructions to make adjustments to the system. An intelligent control loop can provide functionality of autonomous computing, such as the following:
- Requesting additional processing cycles when needed.
- Installing software and upgrades.
- Restarting a system after a failure.
- Initiating backups after daily processing.
- Shutting down systems after detection of an intrusion.
In Figure 5.1, we see the control loop is divided into two basic sub elements:
1. The Managed Element— This can be any component in the autonomous system, such as a server, a database, or a file, or it can be numerous related larger elements, such as a cluster of servers, a complete software application, or even a business unit. This means that managed elements are highly scalable. The sensors and effectors control the managed element.
2. The Autonomic Manager— This manages the collection, filtering, and reports of the data collected from the element from the sensors. It also analyzes, models if necessary, and learns about the element, gaining knowledge. With this knowledge, it can predict future situations. The planning part provides the structure the mechanism needs for the actions it takes to achieve the desired goals and objectives of the autonomous system. The planning part also uses the predefined policies that establish the goals and objectives. These policies are described in the system. The execute part of the autonomic manager provides control of the commands being accomplished. It will establish whether the commands completed their required actions.
The sensors provide the mechanisms to collect data on the state of the element. To trigger the sensors will require a "get" instruction—for example, "get the information of the customer database"—or for the element to change in a material fashion, such as volume or time. An example of the last trigger would be "get the transaction information when the database completes the daily update."
The effectors are the mechanisms that change the state of an element. In other words, they act or alter the configuration of the element from the data provided from the sensors. The effectors are a set of software commands, or application programming interfaces (APIs), that alter the element's configuration.
yeezy boost 350
ReplyDeletekyrie 6
jordan shoes
coach outlet store online
kevin durant shoes
balenciaga trainers
yeezy shoes
christian louboutin outlet
yeezy boost 350
retro jordans
nike off white
ReplyDeletepandora
stephen curry shoes
giannis antetokounmpo shoes
golden goose shoes
yeezy 350
jordan 12
yeezy 700
supreme outlet
off white x jordan 1
Smm Panel
ReplyDeleteSmm Panel
iş ilanları
instagram takipçi satın al
hirdavatciburada.com
beyazesyateknikservisi.com.tr
SERVİS
Tiktok hile indir
great post to read Click This Link see this site informative post find out read more
ReplyDeleteGood content. You write beautiful things.
ReplyDeletesportsbet
sportsbet
korsan taksi
vbet
taksi
vbet
hacklink
hacklink
mrbahis
dijital kartvizit
ReplyDeletereferans kimliği nedir
binance referans kodu
referans kimliği nedir
bitcoin nasıl alınır
resimli magnet
2J06
kuşadası
ReplyDeletemilas
çeşme
bağcılar
ordu
3FJ348