Brijendra presentation

Architecture and Programming Model for MobileCloud Computing

Brijendra Pratap SinghRegistration No. - 2011SW21

Motilal Nehru National Institute Of Technology AllahabadAllahabad - 211004, India

November 9, 2012

Brijendra Pratap Singh Registration No. - 2011SW21 Architecture and Programming Model for Mobile Cloud Computing

Outline

Introduction

Architecture for mobile cloud computing

Programming model for mobile cloud computing

Semi-Markov decision process (SMDP) based mobile cloudcomputing model

Performence of SMDP-based mobile cloud computing model


Introduction

Cloud computingCloud computing infrastructure models

Public, private, and hybrid cloud

Cloud computing service models

Infrastructure as a service (IaaS)Platform as a service (PaaS)Software as a service (SaaS)

Mobile cloud computing or mCloud


Architecture Of mobile cloud computing

1. A remote cloud server providing services to mobile devices

Mobile device is connected to the cloud through Internet


2. Mobile devices act as a resource provider of the cloud


3. A cloudlet is between the cloud and mobile device

Mobile device is connected to the cloudlet and the cloudlet isconnected to cloud


Cloudlet

Mobile device’s resource poverty address via cloudlet

A cloudlet is a resource rich computer or cluster

Simplify the challenges of meeting high bandwidth

Dynamic virtual machine synthesis on cloudlet


Programming model of mobile cloud computing

1. To offload computation of mobile devices, the communicationbetween the mobile device and cloud is done by the protocols suchas Remote Procedure Call (RPC), Remote Method Invocation(RMI), etc

Example: Hyrax


Hyrax

Hadoop is used as a basis for Hyrax

Hadoop is an open source implementation of MapReduceprogramming model and google file system

Figure: Execution overview of MapReduce programming model


Porting Hadoop to run on mobile device

Name node and job tracker run on cloud

Data node and task tracker run on mobile device


2. To offload computation of mobile devices, virtual machine isused as the computing unit

Example: Cloudlet, MAUI, CloneCloud, MobiCloud


CloneCloud

Automatically transforms a single machine execution into adistributed executation


3. To offload computation of mobile devices mobile agent is used

Example: Scavenger


Scavenger

Consist of two independent software component

The daemon running on surrogate enabling to receive andperform taskClient library

Both written in Python

Client application must use the client library

A manual mode, where the application may itself ask foravailable surrogateAutomatic mode


Semi-markov decision process (SMDP) based mobile cloudcomputing model

A mobile cloud system has multiple cloud domains. There are Kvirtual machine resource available in one cloud domain. A servicecan use c virtual machine, where c ∈ {1, 2, ...,C},C ≤ K


There are two types of service requests

New service requestInterdomain transfer service request

The system state of the cloud domain is defined by thecurrent services having different numbers of virtual machinesand event such as arrival or departure of services

The action can be accept, reject, or transfer upon receiving arequest

The reward of a mobile cloud system is calculated by systemstate and corresponding action


Performence of SMDP-based mobile cloud computingmodel

SMDP-based model have lower dropping probability than thegreedy approach

Expected system reward of SMDP-based system is better thangreedy scheme


References I

Niroshinie Fernando, Seng W. Loke, Wenny Rahayu, “MobileCloud Computing: A survey,” Future Generation ComputerSystem 29(2013) 84-106, June 2012

J. Carolan, S. Gaede, J. Baty, G. Brunette, A. Litch, J.Rammell, L. Tucker, J. Weise, “Introduction to CloudComputing Architectue,” white paper, 2009

Jeffrey Dean, Sanjay Ghemawat, “MapReduce: SimplifiedData Processing on Large Clusters,” Communications of ACM,Junary 2008

Paramvir Bahl, Richard Y. Han, Li Erran Li, MahadevSatyanarayanan, “Advancing the State of Mobile CloudComputing,” Proceedings of the third ACM workshop onMobile cloud computing and services, June 2012


References II

Byung-Gon Chun, Sungwan Ihm, Petros Maniatis, MayurNaik, Ashwin Patti, “CloneCloud: Elastic Execution betweenMobile Device and Cloud,” In EuroSys 11: Proceedings ofsixth conference on computer system, ACM, 2011

E. E. Marinelli, “Hyrax: Cloud Computing on Mobile DevicesUsing MapReduce,” Masters Thesis, Carnegie MellonUniversity, 2009

M. Satyanarayanan, P. Bhal, R. Caceres, N. Davies, ”The Casefor VM-based Cloudlet in Mobile Computing,” IEEE PervasiveComputing, 2009

Mads Daro Kristensen, “Scavenger: Transparent Developmentof Efficient Cyber Foraging Applications,” Proceedings of theIEEE International Conference, 2009


References III

Hongbin Liang, Lin X. Cai, Dijiang Huang, Xuemin (Sherman)Shen, and Daiyuan Peng, “An SMDP-Based Service Model forInterdomain Resource Allocation in Mobile Cloud Networks,”IEEE Transactions on Vehicular Technology, June 2012


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