Answer To: Topic is . Energy managment in cloud computing . In mobile phones energy managment is to be done....
Akansha answered on Apr 22 2021
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Running Head: Energy management in mobile cloud computing
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Energy management in mobile cloud computing
ENERGY MANAGEMENT IN MOBILE CLOUD COMPUTING
Table of Contents
ENERGY MANAGEMENT IN MOBILE CLOUD COMPUTING 1
Introduction 4
Literature review 4
Mobile Cloud Computing 4
Energy Saving in Mobile Clouds 5
Mobile Device Resource Management 7
Mobile Device Resource Management 7
Energy-Saving using Proxy-based Architecture 8
Energy-Saving by Efficient Wireless Interface Discovery 9
Energy-Saving through Wireless Communication 10
Cloud Server Infrastructure Management 11
Server Application Management for Energy Saving 11
Analysis of review 12
1. About Topic 12
2. Importance of topic 14
3. Approaches 16
4. Strength of paper 18
5. Weakness of paper 20
6. Algorithm and flowchart 21
Conclusion 22
References 24
Introduction
Mobile cloud computing includes features for delivering outsources data with the use of remote available mobile devices. This provide with critical challenges for mobile cloud computing environment. This is used for degrading data transfer and initiating handover process. The energy efficient processes provide with improved quality of services and introduce secure energy and quality services. The proposed architecture includes various layers that are required for connectivity. The object oriented architecture is required for designing mobile computing system that is based on encryption cryptography for supporting media services. The study describes the view of different authors over Energy management in mobile cloud computing process. The study also focuses on strength and weakness of research papers.
Literature Review
Mobile Cloud Computing
Mobile computing is rich technologies that provide with unified elasticity to resources with various network and cloud technology for providing with functionalities and storage. This is required for serving multitude for mobile devices and includes channel of Ethernet for heterogeneous environment. As influenced by Akherfi, Gerndt & Harroud (2018), this is platform based principle and includes three foundations that includes networking, mobile computing and cloud computing. The increase of number of mobile users it includes a string driving office for cloud computing and delivering of services to mobile use over wireless internet. It is important for providing with the responsibility for increasing the processing power and battery life. This copes with increasing number of diverse application and services for mobile user. The maximization of resource sharing is required for existing cloud infrastructure and resources for giving better connectivity for mobile. This includes elimination of existing resources for the limitation and issue of current mobile device by connecting services for cloud.
Mobile cloud computing is required for delivering the information with the use of application. The mobile application can help in deployment of remotely used flexibility and speed development tool. The approach is required for developers in building the application and designed specified mobile user with the use of computing and memory capacity of smart phones. Mobile cloud is required to have general access with the use of mobile browser with remote web server. As influenced by Singh, Juneja & Malhotra (2017), the cloud computing is required for mobile development and includes features for rich application delivered over the internet with cloud based infrastructure. The applications are required for building Smartphone required intensive computing power and software platform for supporting application execution. Mobile cloud casting includes resources for computing and platform support that is required for execution of application. The mobile cloud computing is required for resources and includes storage and support platform for the use of application that are available on cloud (Scpe.org, 2019).
Energy Saving in Mobile Clouds
Energy saving refers to the effort for reduction use of energy consumption and this can be achieved by increasing the efficiency of devices and reduction of energy from conventional source. This has major benefit that includes energy conservation, cost reduction and environmental protection. Mobile cloud includes computer infrastructure and network that provide with complete attention of energy conservation. In mobile computing, energy conservation issue may include network infrastructure and network communication. As influenced by Akherfi, Gerndt & Harroud (2018), this can include energy saving and cloud computing servers and infrastructure. The energy saving issue includes mobile cloud services and servers. Green computing and energy saving is required for proving with energy saving ways. Cloud computing is required for providing potential for saving mobile client energy for having offloading of computation and this exceed the energy cost for additional communication. This includes the analysis for critical factors that can affect energy consumption for data in mobile cloud computing.
Energy efficiency provide with fundamentals for mobile devices. Cloud computing is required to have potential in saving mobile energy client energy. The saving is required for offloading of commutation and provides with exceeding of energy cost and includes additional communication. This includes the analysis for critical factors that affect energy consumption required for mobile client in cloud computing. The measurement includes central characteristics for devices for handling and define the provide balance between remote and local commuting. As influenced by Shuja et al. (2017), the transmission of data on cloud can consume more energy and provide with low bandwidth. The processing of task can be avoided with transmission for large data between mobile server and device. The processing task includes compress algorithm for reduction of size of raw data that are sent on server. Energy efficient task includes the strategy for determining the kind of task with certain amount of data that is required to be selected for offloading under different environment. This includes the strategy for achieving accuracy and includes right action for minimizing the system energy usage.
Mobile Device Resource Management
Mobile Device Resource Management provides with the platform for system support and includes execution of mobile client application for giving attention for efficiency of mobile devices . This includes the applications that are running at background and can network for synchronizing email account. The ad-hoc technique is required for providing with application that can help in minimizing draining of power of application. The user centered proactive resource management is required for management system for forecasting of demand of resources. As influenced by Shuja et al. (2017), the opportunistic accesses to resources include mobile devices for accessing all the resources that are includes in mobile devices with wireless network and social networks. Activity manage is responsible for monitoring the profile for active application and run time resources with application framework. The components are required for core elements for managing all resources and decides the pattern that is based in forecasting algorithm.
Mobile Device Resource Management
The physical setup of mobile resource management system includes installation of hardware and use of mobile devices while operating. The use of connectivity software allows the devices in interface with the server and includes data for decision making with the use of asset management. Mobile resource management uses GPS and GIS that are integrated with motor location. This includes additional function with popularity with technology for realizing improved productivity, efficiency and safety. As influenced by Aujla & Kumar (2018), this provided with wide range of benefit for enterprise operating. This includes management updates and includes equipments that are ready for operation and requires attention. Equipment and monitoring operation can help information for automated system for scheduling and required for optimization of efficiency. The can avert downtime and provide with downtime for preventing premature wear of asset life. GPS tracking can allow in providing reorganized delivery routes and assignment in real time. This is required for administration and includes automated billing and electronic compilation of documents.
Energy -saving using Proxy-based Architecture
Energy saving refers to saving device energy during transferring of data in hybrid network. Hybrid networks are the combination of slow links like DSL network and link like 802.11 home network with high bandwidth access. Therefore, the delay between packets is occurred due to the data delivery rate in between fast and slow link. Due to the slow link, time for delivery becomes slow but in case of mobile devices, it needs to be awake as both ends should be active in TCP during data transfer. In this case, proxy-based architecture helps to accumulate all the small intervals within the packet and convert it into large intervals when the device turns into the sleep mode or energy-saving mode in order to save power (Shang et al. 2016). Therefore, in that case no changes are occurred in the data delivery time. Therefore, the major elements of this system are
· Catnap proxy: A proxy-based architecture works as a translator. It helps to decouple the wireless and wired segments using transport layer connecting splitting.
· Workload hints are used to get information about the contents of transfers. There are two types of hints that can be got. Those are, content type during the sleep mode and content type during inactive sleep mode.
· Scheduler can be considered as the brain of Catnap. It determines the sleep time of the devices depending on the size of the transfer. Apart from that, it considers the energy cost during the sleep mode, connection between the wired and wireless bandwidth segments. This decision can be of two types: 802.11 power save mode, which is activated when the devices are switches, Wi-Fi on and off. The other mode is deep sleep mode, which is activated when the device turns into the standby mode or RAM mode.
Therefore, from this experiment with Catnap proxy-architecture, it can be seen that, this system is effective to improve the battery life of mobile device up to 2-5x. In this case, it can be mentioned that, the 802.11 PSM is effective to improve the battery life up to 2x whereas, the deep sleep mode can help the device to improve its battery life up to 5x (Shaukat et al. 2016). Therefore, there is a issue with this system that it can slow down the data delivery process a bit. In this aspect, it can be considered as crucial issues for the wireless device users. Nowadays the mobile devices provide multitasking facilities to their users. This proxy-based architecture can hamper the multitasking experience of the users by slowing down the device to save energy. Moreover, it can be said that proxy-based architecture is effective for energy saving but it has some major drawbacks too.
Energy-Saving by Efficient Wireless Interface Discovery
The end mobile devices contains air interface like 3G, 4G and Wi-Fi. This includes different interface for proving flexible communications and energy saving options for the existing protocols for communication like UDP and TCP with the option that lack good provision for seamless switching. The communication session required for establishment of 3G interface that can help using same interface till session is finished. As influenced by Ejaz et al. (2017), the devices are close to better interface and includes energy saving and communication speed. The use of wireless protocol helps in decreasing power consumption during different states. This is a reducing interface for...