@article{MAKHILLJEAS201813115392,
    title = {Time Performance Evaluation for Batch Processing in
Salesforce.com Cloud Computing},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {1},
    pages = {51-57},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.51.57},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.51.57},
    author = {Alaa and},
    keywords = {Apex batch processing,salesforce,Salesforce.com,Apex job,standard objects,MVC,cloud,computing},
    abstract = {Salesforce.com is a web-based enterprise platform offers to developers an environment for many
objectives such as development, testing and training. The ability to import data such as accounts/contacts,
leads, solutions and custom objects to Salesforce are important and usually it may be required, depending on
the nature of process adoption by Salesforce.com. The objective of thisstudy is to lend some understanding
on Salesforce.com in terms of calculating the time of invoking different volumes of batches which represents
in a job that queued in Apex job queue to be executed. This study highlights the awareness of evaluating the
time performance when need to execute a large amount of data on Salesforce.com platform. The study endorses
that the awareness of the time performance in execution different volumes of Apex jobs will aids to estimate the
consuming time when need to process batches exceed 500. Moreover, the study probed into Model View
Controller (MVC) for Salesforce.com environment to fulfil the aforementioned requirement.}
    }