Understanding performance modeling for modular mobile-cloud applications

2012 ◽  
Author(s):  
Ioana Giurgiu
Keyword(s):  
Performance Modeling ◽  
Mobile Cloud ◽  
Cloud Applications

Towards mobile cloud applications

2012 ◽  
Vol 8 (4) ◽  
pp. 344-367 ◽  
Author(s):  
Huber Flores ◽  
Satish Narayana Srirama ◽  
Carlos Paniagua
Keyword(s):  
Mobile Cloud ◽  
Cloud Applications

Operational Cost of Running Real-Time Mobile Cloud Applications

2015 ◽  
pp. 294-321 ◽  
Author(s):  
Ovunc Kocabas ◽  
Regina Gyampoh-Vidogah ◽  
Tolga Soyata
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Service Level ◽  
Cloud Services ◽  
Mobile Cloud ◽  
Cost Models ◽  
Operational Cost ◽  
Resource Requirements ◽  
The Cost ◽  
Cloud Applications

This chapter describes the concepts and cost models used for determining the cost of providing cloud services to mobile applications using different pricing models. Two recently implemented mobile-cloud applications are studied in terms of both the cost of providing such services by the cloud operator, and the cost of operating them by the cloud user. Computing resource requirements of both applications are identified and worksheets are presented to demonstrate how businesses can estimate the operational cost of implementing such real-time mobile cloud applications at a large scale, as well as how much cloud operators can profit from providing resources for these applications. In addition, the nature of available service level agreements (SLA) and the importance of quality of service (QoS) specifications within these SLAs are emphasized and explained for mobile cloud application deployment.

scholarly journals Shiny Gross Defended Reports Distribution Pattern for Mobile Smog Calculation

2019 ◽  
Vol 8 (11S) ◽  
pp. 888-893
Keyword(s):  
Distribution Pattern ◽  
Data Sharing ◽  
Cell Phone ◽  
Mobile Cloud ◽  
Cellular Telephone ◽  
Control Tree ◽  
Cloud Applications ◽  
Weight Data ◽  
Cell Cell

With the universality of dispersed computer, cellular cell cellphone can keep/get better individual facts from anywhere each time. As a prevent end cease result, the statistics protection hassle in flexible cloud seems to be more and more excessive and anticipates extra development of portable cloud. There are massive investigations which have been brought about decorate the cloud safety. All the same, the huge majority of them are not pertinent for mobile cloud considering the truth that cellular cellular telephone without a doubt have in fact constricted figuring belongings and energy. Arrangements with low computational expenses are in notable want for transportable cloud applications. In this paper, we endorse a slight-weight data sharing plan (LDSS) for mobile allotted computing. It welcomes CP-ABE, an access manage era accomplished in regular cloud hassle, however changes the shape of get get right of entry to to control tree to make it suitable for portable cloud conditions. LDSS relocates an expansive little littlelittle bit of the computational excessive gain get proper of get entry to toto manipulate tree modification in CP-ABE from cell cell phone to outdoor middleman internet servers. Furthermore, to decrease the purchaser repudiation fee, it acquaints building instance regions with actualize apathetic denial, this is an irritable hassle in software softwaresoftware program primarily based absolutely truly actually CP-ABE frameworks. The exploratory prevent consequences show off that LDSS can sufficiently lessen the fees at the cellular cell smartphone hassle at the same time as clients are sharing statistics in flexible cloud problems.

scholarly journals Smarter Way to Access Multiple Mobile Cloud Applications without Interoperability Issues

2017 ◽  
Vol 7 (5) ◽  
pp. 32-39
Author(s):  
P Thanapal ◽  
◽  
K Marimuthub ◽  
S Rajkumar ◽  
R Niranchana
Keyword(s):  
Mobile Cloud ◽  
Cloud Applications

A Computation Migration Approach to Elasticity of Cloud Computing

2012 ◽  
pp. 145-178 ◽  
Author(s):  
Cho-Li Wang ◽  
King Tin Lam ◽  
Ricky Ka Kui Ma
Keyword(s):  
Cloud Computing ◽  
Dynamic Load ◽  
Data Access ◽  
Mobile Cloud ◽  
On Demand ◽  
Code Mobility ◽  
Innovative Idea ◽  
Execution Model ◽  
Cloud Applications ◽  
Concept Code

Code mobility is the capability to dynamically change the bindings between code fragments and the location where they are executed. While it is not a new concept, code mobility has reentered the limelight because of its potential uses for cloud computing—a megatrend in recent years. The strongest form of mobility allows the execution state of a computational component to be captured and restored on another node where execution is seamlessly continued. Computation migration can achieve dynamic load balancing, improve data access locality, and serve as the enabling mechanism for auto-provisioning of cloud computing resources. Therefore, it is worthwhile to study the concepts behind computation migration and its performance in a multi-instance cloud platform. This chapter introduces a handful of migration techniques working at diverse granularities for use in cloud computing. In particular, this chapter highlights an innovative idea termed stack-on-demand (SOD), which enables ultra-lightweight computation migrations and delivers a flexible execution model for mobile cloud applications.

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