BULUT BİLİŞİM SİSTEMLERİNDE VERİNİN FARKLI BOYUTLARI ÜZERİNE DERLEME

Year 2017, Volume: 6 Issue: 2, 316 - 338, 31.07.2017

Ahmet Şakir Dokuz , Mete Çelik

https://doi.org/10.28948/ngumuh.338074

Cited By: 4

Abstract

   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.

Keywords

Bulut bilişim, bulut verisi, bulutta verinin boyutları

A SURVEY ON DIFFERENT ASPECTS OF DATA IN CLOUD COMPUTING SYSTEMS

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.

Keywords

Cloud computing, cloud data, data aspects in cloud

References

• 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.
• MELL, P., GRANCE, T., "The NIST Definition of Cloud Computing", NIST Special Publication 800-1452011, 2011.
• 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.
• BUYYA, R., BROBERG, J., GOSCINSKI, A.M., Cloud Computing Principles and Paradigms (1st ed.), Wiley Publishing, 2011.
• HURWITZ, J., NUGENT, A., HALPER, F., KAUFMAN, M., Big Data For Dummies (1st ed.), For Dummies, 2013.
• 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.
• 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)
• 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.
• ABADI, D.J., "Data Management in the Cloud: Limitations and Opportunities", IEEE Data Engineering Bulletin, 32, 3-12, 2009.
• GROSSNIKLAUS, M., “The Case for Object Databases in Cloud Data Management”, Proceedings of the Third Conference on Objects and Databases, 25-39, Frankfurt, Germany, 2010.
• 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, Asilomar, California, USA, 2011.
• HAERDER, T., REUTER, A., "Principles of Transaction-oriented Database Recovery", ACM Comput. Surv., 15, 287-317, 1983.
• TIWARI, S., Professional NoSQL (1st ed.), John Wiley & Sons Inc., 2011.
• DEKA, G.C., “A Survey of Cloud Database Systems”, IT Professional, 16, 50-57, 2013.
• 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.
• DECANDIA, G., HASTORUN, D., JAMPANI, M., KAKULAPATI, G., LAKSHMAN, A., PILCHIN, A., SIVASUBRAMANIAN, S., VOSSHALL, P.,VOGELS, W., "Dynamo: Amazon's Highly Available Key-value Store", SIGOPS Oper. Syst. Rev., 41, 205-220, 2007.
• http://aws.amazon.com/dynamodb/ (erişim tarihi 27.08.2016)
• SUMBALY, R., KREPS, J., GAO, L., FEINBERG, A., SOMAN, C., SHAH, S., "Serving Large-scale Batch Computed Data with Project Voldemort", Proceedings of the 10th USENIX Conference on File and Storage Technologies, 1-13 California, USA, 2012.
• http://www.project-voldemort.com/voldemort/ (erişim tarihi 27.08.2016)
• http://redis.io/ (erişim tarihi 27.08.2016)
• CHANG, F., DEAN, J., GHEMAWAT, S., HSIEH, W.C., WALLACH, D.A., BURROWS, M., CHANDRA, T., FIKES, A., GRUBER, R.E., "Bigtable: A Distributed Storage System for Structured Data", ACM Trans. Comput. Syst., 26, 1-26, 2008.
• http://hypertable.org/ (erişim tarihi 27.08.2016)
• LAKSHMAN, A., MALIK, P., "Cassandra: A Decentralized Structured Storage System", SIGOPS Operating Systems Review, 44, 35-40, 2010.
• http://cassandra.apache.org/ (erişim tarihi 27.08.2016)
• SCIORE, E., "SimpleDB: A Simple Java-based Multiuser System for Teaching Database Internals", SIGCSE Bull., 39, 561-565, 2007.
• http://aws.amazon.com/simpledb/ (erişim tarihi 27.08.2016)
• LENNON, J., Introduction to CouchDB. In F. POHLMANN, A. COLLETT, K. WİMPSETT, Beginning CouchDB (pp. 3-9), Apress, 2009.
• http://couchdb.apache.org/ (erişim tarihi 27.08.2016)
• BANKER, K., MongoDB in Action (1st ed.), Manning Publications Co., 2011.
• http://www.mongodb.org/ (erişim tarihi 27.08.2016)
• WARCHAL, L., "Using Neo4j Graph Database in Social Network Analysis", Studia Informatica, 33, 271-279, 2012.
• http://www.neo4j.org/ (erişim tarihi 27.08.2016)
• http://infogrid.org/trac/ (erişim tarihi 27.08.2016)
• http://www.objectivity.com/infinitegraph (erişim tarihi 27.08.2016)
• DEAN, J.,GHEMAWAT, S., "MapReduce: Simplified Data Processing on Large Clusters", Commun. ACM, 51, 107-113, 2008.
• FOX, G., GANNON, D., Using Clouds for Technical Computing. In C. CATLETT, W. GENTZSCH, L. GRANDINETTI, G.R. JOUBERT, J.L. VASQUEZ-POLETTI (Eds.), Cloud Computing and Big Data (pp. 81-102), IOS Press, 2013.
• LAM, C., Hadoop in Action (1st ed.), Manning Publications Co., 2010.
• http://hadoop.apache.org/ (erişim tarihi 27.08.2016)
• SHVACHKO, K., KUANG, H., RADIA, S., CHANSLER, R., "The Hadoop Distributed File System", Proceedings of the 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), 1-10, Nevada, USA, 2010.
• OLSTON, C., REED, B., SRIVASTAVA, U., KUMAR, R., TOMKINS, A., "Pig Latin: A Not-so-Foreign Language for Data Processing", Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, 1099-1110, Vancouver, Canada, 2008.
• THUSOO, A., SARMA, J.S., JAIN, N., SHAO, Z., CHAKKA, P., ANTHONY, S., LIU, H., WYCKOFF, P., MURTHY, R., "Hive: A Warehousing Solution Over a Map-Reduce Framework", Proc. VLDB Endow., 2, 1626-1629, 2009.
• BEYER, K.S., ERCEGOVAC, V., GEMULLA, R., BALMIN, A., ELTABAKH, M.Y., KANNE, C.C., ÖZCAN, F., SHEKITA, E.J., "JAQL: A Scripting Language for Large Scale Semistructured Data Analysis", PVLDB, 4, 1272-1283, 2011.
• BONVIN, N., PAPAIOANNOU, T.G., ABERER, K., "A Self-Organized, Fault-Tolerant and Scalable Replication Scheme for Cloud Storage", Proceedings of the 1st ACM Symposium on Cloud Computing, 205-216, Indianapolis, Indiana, USA, 2010.
• SUN, D.W., CHANG, G.R., GAO, S., JIN, L.Z., WANG, X.W., "Modeling a Dynamic Data Replication Strategy to Increase System Availability in Cloud Computing Environments", J. Comput. Sci. Technol., 27, 256-272, 2012.
• LEI, M., VRBSKY, S.V., HONG, X., "An Online Replication Strategy to Increase Availability in Data Grids", Future Generation Computer Systems, 24, 85-98, 2008.
• WU, S., WU, K.L., "An Indexing Framework for Efficient Retrieval on the Cloud", IEEE Data Engineering Bulletin, 32, 75-82, 2010.
• JI, S., LI, G., LI, C., FENG, J., "Efficient Interactive Fuzzy Keyword Search", Proceedings of the 18th International Conference on World Wide Web, 371-380, Madrid, Spain, 2009.
• AGUILERA, M. K., GOLAB, W.,SHAH, M. A., "A Practical Scalable Distributed B-Tree", Proc. VLDB Endow., 1, 598-609, 2008.
• WU, S., JIANG, D., OOI, B.C.,WU, K.L., "Efficient B-Tree Based Indexing for Cloud Data Processing", Proc. VLDB Endow., 3, 1207-1218, 2010.
• WEI, L.Y., HSU, Y.T., PENG, W.C., LEE, W.C., "Indexing Spatial Data in Cloud Data Managements", Pervasive and Mobile Computing, 15, 48-61 2013.
• WANG, J., WU, S., GAO, H., LI, J., OOI, B.C., "Indexing Multi-Dimensional Data in a Cloud System", Proceedings of the 2010 ACM SIGMOD International Conference on Management of Data, 591-602, Indianapolis, Indiana, USA, 2010.
• LO, Y.-L., TAN, C.-Y., “A Study on Multi-Attribute Database Indexing on Cloud System”, Proceedings of the International MultiConference of Engineers and Computer Scientists, 299-304, Hong Kong, China, 2012.
• ZHANG, X., AI, J., WANG, Z., LU, J., MENG, X., "An Efficient Multi-Dimensional Index for Cloud Data Management", Proceedings of the First International Workshop on Cloud Data Management, 17-24, Hong Kong, China, 2009.
• NAYAK, D., HUAWEI, B., "Understanding the Security, Privacy and Trust Challenges of Cloud Computing", Journal of Cyber Security and Mobility, 1, 277-288, 2012.
• YU, S., WANG, C., REN, K., LOU, W., "Achieving Secure, Scalable, and Fine-Grained Data Access Control in Cloud Computing", Proceedings of the 29th Conference on Information Communications, 534-542, San Diego, California, USA, 2010.
• WANG, H., "Privacy-Preserving Data Sharing in Cloud Computing", J. Comput. Sci. Technol., 25, 401-414, 2010.
• KHAN, A.N., MAT KIAH, M.L., KHAN, S.U., MADANI, S.A., "Towards Secure Mobile Cloud Computing: A Survey", Future Generation Computer Systems, 29, 1278-1299, 2013.
• KAMARA, S., LAUTER, K., Cryptographic Cloud Storage. In R. SION, R. CURTMOLA, S. DIETRICH, A. KIAYIAS, J.M. MIRET, K. SAKO, F. SEBE, Financial Cryptography and Data Security (pp. 136-149), Springer Berlin Heidelberg, 2010.
• WANG, C., CAO, N., LI, J., REN, K., LOU, W., "Secure Ranked Keyword Search over Encrypted Cloud Data", Proceedings of the 2010 IEEE 30th International Conference on Distributed Computing Systems, 253-262, Genoa, Italy, 2010.
• JIN, L., QIAN, W., CONG, W., NING, C., KUI, R., WENJING, L., “Fuzzy Keyword Search over Encrypted Data in Cloud Computing”, IEEE 29th Conference on Computer Communication INFOCOM, 1-5, San Diego, USA, 2010.
• NING, C., CONG, W., LI, M., KUI, R., WENJING, L., “Privacy-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data”, IEEE 30th Conference on Computer Communication INFOCOM, 829-837, Shangai, China, 2011.
• NICOLAE, B., High Throughput Data-Compression for Cloud Storage. In A. HAMEURLAIN, F. MORVAN, A. MIN TJOA, Data Management in Grid and Peer-to-Peer Systems (pp. 1-12), Springer Berlin Heidelberg, 2010.
• WISEMAN, Y., SCHWAN, K., WIDENER, P., "Efficient End to End Data Exchange using Configurable Compression", SIGOPS Operating Systems Review, 39, 4-23, 2005.
• KRINTZ, C., SUCU, S., "Adaptive On-the-Fly Compression", IEEE Transactions on Parallel and Distributed Systems, 17, 15-24, 2006.