Surveying Device for Resource Optimization

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Surveying Device for Resource Optimization

Surveying Device for Resource Optimization

Abstract

Cloud computing is an on-demand service resource which includes applications to data centers on a pay-per-use basis. Due to increasing user demand, the resource allocating process has become more challenging and difficult. One of the main focuses of research scholars is how to develop optimal solutions for this process.

Surveying Device For Resource Optimization is a major task in cloud computing and in any other computing environments.  Cloud computing attempts to provide cheap and easy access to computational. resources, which include servers, networks, storage, and, possibly, services.  Cloud providers have to efficiently manage, provide, and allocate these resources to provide services to cloud consumers based on service level agreements (SLAs) which both sides agree to prior to the consumer using the services. 

Therefore, providers must maintain a reliable allocating mechanism in order to satisfy the cloud users’ requirements, while stabilizing an appropriate profit margin for themselves.Due to the increasingly high use of the Internet, and thereby cloud services, the typically static allocation and management of resources have become impractical, and the development of dynamic mechanisms have become more appropriate and worth studying. Nonetheless, even these dynamic mechanisms present issues and challenges to be overcome andsolutions to be found. Many researchers have tried, and are still trying, to provide the optimal solutions for the resource allocation and management problem in cloud computing environments. In this paper, we did categorize the existed solutions of resource allocation problem and compare them in each category. Recently, the Internet of Things (IoT) concept has attracted a lot of attention due to its capability to translate our physical world into a digital cyber world with meaningful information. The IoT devices are smaller in size, sheer in number, contain less memory, use less energy, and have more computational capabilities.

System Configuration

H/W System Configuration
Speed                   : 1.1 GHz
RAM                      : 256 MB(min)
Hard Disk              : 20 GB
Floppy Drive          : 1.44 MB
Key Board             : Standard Windows Keyboard
Mouse                  : Two or Three Button Mouse
Monitor                : SVGA
S/W System Configuration

Platform                     :  IOT

Operating system       : Windows Xp,7,
Server                       : WAMP/Apache
Working on                : Browser Like Firefox, IE