Journals / Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi / 2017 / Cilt: 6 - Sayı: 2

A SURVEY ON DIFFERENT ASPECTS OF DATA IN CLOUD COMPUTING SYSTEMS

BULUT BİLİŞİM SİSTEMLERİNDE VERİNİN FARKLI BOYUTLARI ÜZERİNE DERLEME

Pages
316–338
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Also evolution of data in cloud computing was estimated based on recent developments.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Cloud computing is an emerging technology which is gaining popularity in recent years.
📊
Key Findings & Data:In this survey, different aspects of data were analyzed and the strategies on every data aspect were researched.
💡
Conclusion & Impact:Also evolution of data in cloud computing was estimated based on recent developments.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Bulut bilişim · bulut verisi · bulutta verinin boyutları

Abstract

Cloud computing is an emerging technology which is gaining popularity in recent years. With cloud computing, all computer-oriented operations can be done using remote cloud servers. Large scale storage systems can be established and high level computations can be made on cloud computing infrastructures without setting up server systems in-the-house. Lots of data centers store data for applications to process. Data play a main role for cloud computing applications which are generally developed to process large scale data. The research of different aspects of data in cloud computing infrastructures will provide information for future data-centric studies on cloud computing. In this survey, different aspects of data were analyzed and the strategies on every data aspect were researched. Also evolution of data in cloud computing was estimated based on recent developments.

Özet

Bulut bilişim, son yıllarda gelişmekte olan ve güncelliğini koruyan bir teknolojidir. Bulut bilişim aracılığıyla kişisel bilgisayarlar üzerinde yapılan tüm işlemler, uzak sunucular aracılığıyla gerçekleştirilebilir hale gelmiştir. Bulut bilişim altyapıları kullanılarak sunucu sistemleri kurmadan büyük boyutlu depolama sistemleri kurulabilir ve yüksek seviyeli hesaplamalar yaptırılabilir. Bulut bilişim altyapıları üzerinde verinin farklı boyutlarda incelenmesi, bulut sistemleri üzerindeki veriye dayalı çalışmalarda fayda sağlayacaktır. Bu çalışmada bulut bilişim altyapıları üzerinde verinin farklı boyutları incelenerek bu boyutlarda ne tür stratejiler izlendiği incelenmiştir. Geçmiş çalışmalardan yola çıkılarak bulut bilişimde verinin ne tür gelişmeler izleyeceği öngörülmeye çalışılmıştır.

🔖

Cite This Article

DOKUZ, A. Ş., ÇELİK, M. (2017). A SURVEY ON DIFFERENT ASPECTS OF DATA IN CLOUD COMPUTING SYSTEMS. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 6 - Sayı: 2, 316–338. https://ajindex.com/articles/290370

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (18)

  1. ARMBRUST, M., FOX, A., GRIFFITH, R., JOSEPH, A.D., KATZ, R.H., KONWINSKI, A., LEE, G., PATTERSON, D.A., RABKIN, A., STOICA, I., ZAHARIA, M., “Above the Clouds: A Berkeley View of Cloud Computing”, 1-23, 2009.
  2. MELL, P., GRANCE, T., "The NIST Definition of Cloud Computing", NIST Special Publication 800-1452011, 2011.
  3. BUYYA, R., YEO, C.S., VENUGOPAL, S., BROBERG, J., BRANDIC, I., "Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility", Future Generation Computing Systems, 25, 599-616, 2009.
  4. BUYYA, R., BROBERG, J., GOSCINSKI, A.M., Cloud Computing Principles and Paradigms (1st ed.), Wiley Publishing, 2011.
  5. HURWITZ, J., NUGENT, A., HALPER, F., KAUFMAN, M., Big Data For Dummies (1st ed.), For Dummies, 2013.
  6. COULOURIS, G., DOLLIMORE, J., KINDBERG, T., BLAIR, G., Distributed File Systems. In M. HORTON, M. HIRSCH, M. GOLDSTEIN (Eds.), Distributed Systems: Concepts and Design (pp. 521-564), Addison-Wesley, 2011.
  7. GHEMAWAT, S., GOBIOFF, H., LEUNG, S.T., "The Google File System", SIGOPS Oper. Syst. Rev., 37, 29-43, 2003. https://www.gluster.org/ (erişim tarihi 27.08.2016)
  8. HUPFELD, F., CORTES, T., KOLBECK, B., STENDER, J., FOCHT, E., HESS, M., MALO, J., MARTI, J., CESARIO, E., "The XtreemFS Architecture - A Case for Object-based File Systems in Grids", Concurr. Comput.: Pract. Exper., 20, 2049-2060, 2008.
  9. ABADI, D.J., "Data Management in the Cloud: Limitations and Opportunities", IEEE Data Engineering Bulletin, 32, 3-12, 2009.
  10. GROSSNIKLAUS, M., “The Case for Object Databases in Cloud Data Management”, Proceedings of the Third Conference on Objects and Databases, 25-39,
  11. Frankfurt, Germany, 2010.
  12. CURINO, C., JONES, E.P C., POPA, R.A., MALVIYA, N., WU, E., MADDEN, S., BALAKRISHNAN, H., ZELDOVICH, N., “Relational cloud: A Database-as-a-Service for the Cloud”, Proceedings of the 5th Biennial Conference on Innovative Data Systems Research, 235-241,
  13. Asilomar, California, USA, 2011.
  14. HAERDER, T., REUTER, A., "Principles of Transaction-oriented Database Recovery", ACM Comput. Surv., 15, 287-317, 1983.
  15. TIWARI, S., Professional NoSQL (1st ed.), John Wiley & Sons Inc., 2011.
  16. DEKA, G.C., “A Survey of Cloud Database Systems”, IT Professional, 16, 50-57, 2013.
  17. MONIRUZZAMAN, A.B.M., HOSSAIN, S.A., "NoSQL Database: New Era of Databases for Big Data Analytics - Classification, Characteristics and Comparison", International Journal of Database Theory and Application, 6, 1-14, 2013.
  18. DECANDIA, G., HASTORUN, D., JAMPANI, M., KAKULAPAT