What is mobile cloud computing? Explain its architecture and issues.

-

 MOBILE CLOUD COMPUTING

  • In the era of growing technology, Mobile Cloud Computing (MCC) has emerged as a conversation topic for modernizing the internet computing infrastructure. MCC provides a large platform for the IT industry, allowing mobile users to study their data anywhere, at any time, by utilizing Cloud services. 
  • Cloud computing, internet technology, and mobile computing are all combined in Mobile Cloud Computing. This makes it more user-friendly for them to keep their data on the cloud with simplicity prominent Despite significant progress, the MCC continues to fall short of user expectations owing to privacy and security concerns with regulated data.
  • Mobile Cloud Computing (MCC) is the marriage of cloud computing, mobile computing, and wireless networks to give rich computational resources to mobile users, network operators, and cloud computing providers. 
  • MCC's ultimate objective is to enable the execution of sophisticated mobile apps on a mobile device while providing a rich user experience. MCC offers an opportunity for both mobile network operators and cloud providers.
  •  MCC can be defined more broadly as "a rich mobile computing technology that leverages unified elastic resources of diverse clouds and network technologies toward unrestricted functionality, storage, and mobility to serve a multitude of mobile devices anywhere, anytime channel of Ethernet or Internet regardless of heterogenous environments and platforms based  "the pay the as-you-go model".

MCC ARCHITECTURE

Computations are conducted remotely rather than on the device using MCC, allowing resource-constrained mobile devices to use computational resources from a variety of cloud-based services. There are four categories of cloud-based resources in MCC: distant immobile clouds, nearby immobile computing entities, proximal mobile computing entities, and hybrid resources (a combination of the other three models). Cloudlets and surrogates are member applications of proximal immobile computing entities, whereas giant clouds like Amazon EC2 are in the far immobile groupings. Smartphones, tablets, portable devices, and wearable computing devices are examples of proximal mobile computing entities, the third type of cloud-based resource.



ISSUES WITH MCC

MCC is the combination of mobile computing, cloud computing, and communication networks that creates several complex challenges such as Mobile Computation Offloading, Seamless Connectivity, Long WAN Latency, Mobility Management, Context-Processing, Energy Constraint, Vendor/data Lock-in, Security and Privacy, Elasticity that hinder MCC success and adoption.

 Along with these here are some issues of MCC:

Architectural issues: 

A reference design for diverse MCC environments is essential for unlocking the power of mobile computing toward unconstrained ubiquitous computing.

 Energy-efficient transmission: 

MCC imposes frequent transfers between the cloud platform and mobile devices; yet because wireless networks are stochastic, the transmission protocol must be properly constructed.

Context-awareness issues: 

Context-aware and socially aware computing are characteristics of modern mobile devices. Designing resource-efficient environment-aware apps are critical to realizing the vision of mobile computing amid heterogeneous converging networks and computing devices. inseparably linked

Live VM migration issues: 

Exercising resource-intensive mobile applications through Virtual Machine (VM) migration-based application offloading entails encapsulating the application in a VM instance and migrating it to the cloud, which is a difficult task due to the additional overhead of deploying and managing VM on mobile devices.

Mobile communication congestion issues: 

Mobile data traffic is skyrocketing due to ever-increasing mobile user demands for cloud services, which has an impact on mobile network operators and necessitates future efforts to ensure efficient communication between mobile and cloud endpoints.

Trust, security, and privacy issues: 

Trust is critical to the success of the emerging MCC paradigm. This is because the data, together with the code/component/application/complete VM, is offloaded to the cloud for execution. Furthermore, similarly to software and mobile application piracy, MCC application development approaches are vulnerable to piracy. Prax is well recognized as the first dedicated framework for combating application piracy in MCC standards.

Comments

Post a Comment

Popular posts from this blog

Suppose that a data warehouse for Big-University consists of the following four dimensions: student, course, semester, and instructor, and two measures count and avg_grade. When at the lowest conceptual level (e.g., for a given student, course, semester, and instructor combination), the avg_grade measure stores the actual course grade of the student. At higher conceptual levels, avg_grade stores the average grade for the given combination. a) Draw a snowflake schema diagram for the data warehouse. b) Starting with the base cuboid [student, course, semester, instructor], what specific OLAP operations (e.g., roll-up from semester to year) should one perform in order to list the average grade of CS courses for each BigUniversity student. c) If each dimension has five levels (including all), such as “student < major < status < university < all”, how many cuboids will this cube contain (including the base and apex cuboids)?

-
Image
a) A Snowflake Shema is shown in figure below: b) The specific OLAP operations to be performed: 1. Roll-up on course from course_id to department. 2. Roll-up on a student from student_id to university. 3. Dice on course, student with department ="CS" and university = "biguniversity" 4. Drill-down on a student from the university to student_name. c) N = 4 dimensions The cube will contain 54 = 625 cuboids.
Read more

Discuss classification or taxonomy of virtualization at different levels.

-
Image
Taxonomy of virtualization Virtualization is mainly used to emulate the execution environment, storage, and networks. The execution environment is classified into two: – Process-level – implemented on top of an existing operating system.  – System-level – implemented directly on hardware and does not or minimum requirement of the existing operating system. OR,  Virtualization covers a wide range of emulation techniques that are applied to different areas of computing. A classification of these techniques helps us better understand their characteristics and use  V irtualization is mainly used to emulate  ● Execution Environments: To provide support for the execution of the programs eg. OS, and Application.  ○ Process Level: Implemented on top of an existing OS that has full control of the hardware  ○ System Level: Implemented directly on Hardware and do not require support from existing OS.  ● Storage: Storage virtualization is a system administration practice that allo
Read more

Suppose that a data warehouse consists of the four dimensions; date, spectator, location, and game, and the two measures, count and charge, where charge is the fee that a spectator pays when watching a game on a given date. Spectators may be students, adults, or seniors, with each category having its own charge rate. a) Draw a star schema diagram for the data b) Starting with the base cuboid [date; spectator; location; game], what specific OLAP operations should perform in order to list the total charge paid by student spectators at GM Place in 2004?

-
Image
  b) The specific OLAP operations to be performed are: 1. Roll-up on date from date id to year. 2. Roll-up on spectator from spectator id to status. 3. Roll-up on location from location id to location name. 4. Roll-up on the game from game id to all. 5. Dice with status= “students”, location name= “GM Place”, and year=2004
Read more